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Description

The Forensic Scientist III is a supervisory position within the Toxicology Unit of the Massachusetts State Police Forensic Services Division which analyzes postmortem and antemortem specimens for the Office of the Chief Medical Examiner and courts of the Commonwealth. This is the fully competent professional acting as the first-level supervisor for all toxicological work. Incumbents apply advanced principles, practices and techniques to the work performed. At this level, incumbents seek guidance and advice from more experienced colleagues and focus on gaining knowledge and experience to perform more independently and participate in work of higher complexity.

In addition to the functions performed at the Forensic Scientist Level I and II, incumbents at this level may perform the following:

Supervise Forensic Scientists of a lower level within the unit as they identify, collect, preserve and examine evidence.
Supervise Forensic Scientists of a lower level to manage caseloads and assignment and oversee production of results. Decide how work must be delegated and assigned to Forensic Scientists of a lower grade based upon caseload, staffing strengths and other personnel considerations.
Lead activities, and provide training and direction in projects, processes, and functions where advanced subject matter knowledge is required.
Provide training/technical assistance to Assistant District Attorneys, Office of the Chief Medical Examiner (OCME), police/fire personnel and other stakeholders on the collection and preservation of evidence, the results of laboratory testing and on laboratory operations.
Perform and/or participate in validation studies/performance verifications for work groups or units.
Participate in the training to Forensic Scientists of a lower level as required.
Provide testimony as an expert and/or material witness in court and/or at formal judicial hearings in order to defend the findings of a test, examination or analysis, provide opinions on test results/examinations, demonstrate scientific procedures, and to explain test procedures and other job-related functions.
Assist in the development of, review, revise, and follow protocols and procedures for all unit duties, as required.
Ensure compliance with the laboratory’s administrative policies, quality assurance/quality control requirements and ANAB accreditation standards.
Implements quality control procedures; determines whether to accept or reject samples and/or materials sent to the laboratory for testing or analysis and assists in making necessary technical decisions to produce accurate results efficiently for all tests performed in the laboratory.
Creates a positive work environment and effectively communicates with others.
Performs all other related duties as assigned.

In addition to possessing the knowledge, skills and abilities required for Forensic Scientist II, incumbents are required to have the following at the time of hire:

Knowledge of safety practices and procedures adopted in a forensic laboratory.
Knowledge of chemistry research methods and procedures.
Knowledge of legal terms and the legal process.
Knowledge of how to direct subordinates in the proper techniques for handling, preserving, tracking and transporting samples and specimens used in a laboratory to preserve the integrity of the samples for presentation in a court of law.
Ability to generate legal documents for use in the court system.
Ability to take information about a case and determine what needs to be tested.
Ability to give oral and written instructions in a precise and understandable manner.
Ability to supervise, including planning and assigning work according to the nature of the job to be accomplished, the capabilities of subordinates and available resources; controlling work through periodic reviews and/or evaluations; motivating subordinates to work effectively and efficiently; and determining the need for and either recommending or initiating disciplinary action.
Ability to gather information through questioning and observing individuals and by examining records and documents and determining the proper format and procedures for assembling the items of information.
Ability to evaluate the quality of collected chemical data and/or physical evidence.
Ability to interact effectively with and establish rapport with diverse teams and groups of people.
Ability to understand and apply Massachusetts General Law and federal statutes, rules, regulations, policies, procedures, specifications, standards and guidelines governing assigned unit activities.

Note: Please review the minimum entrance requirements for this position. If you were never a fully competent forensic analyst within an accredited laboratory in a relevant forensic science specialization and have documented experience/training in providing testimony as both an expert and material witness in legal proceedings, do not apply, you will not be considered for this opening.

Qualifications

First consideration will be given to those applicants that apply within the first 14 days.

Minimum Entrance Requirements:
Applicants must have a Bachelors degree in the natural sciences, including Chemistry, Analytical Chemistry, Biochemistry, Biology, Forensic Science, Pharmacology or Physics and (A) at least three years of full-time, or equivalent part-time, professional experience as a bench chemist or forensic scientist in a crime laboratory or comparable setting and (B) full competence as a forensic analyst within an accredited laboratory in a relevant forensic science specialization, and documented experience in providing testimony as both an expert and material witness in legal proceedings, or (C) any equivalent combination of the required experience and the substitutions below.

Substitutions:

I. A Masters or higher degree in the natural sciences, including Chemistry, Analytical Chemistry, Biochemistry, Biology, Forensic Science, Pharmacology or Physics may be substituted for a maximum of one year of the required (A) experience.

Incumbents are required to have a current and valid motor vehicle drivers license at a class level specific to assignment.

\n\n\n

Comprehensive Benefits

When you embark on a career with the Commonwealth, you are offered an outstanding suite of employee benefits that add to the overall value of your compensation package. We take pride in providing a work experience that supports you, your loved ones, and your future.

Want the specifics? Explore our Employee Benefits and Rewards!

\n\n\n

An Equal Opportunity / Affirmative Action Employer. Females, minorities, veterans, and persons with disabilities are strongly encouraged to apply.

\n\n

The Commonwealth is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, disability, national origin, veteran status, or any other basis covered by appropriate law. Research suggests that qualified women, Black, Indigenous, and Persons of Color (BIPOC) may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage individuals who believe they have the skills necessary to thrive to apply for this role.

Official Title: Forensic Scientist III

Primary Location

: United States-Massachusetts-Maynard - 124 Acton Street

Job

: Laboratory Services

Agency

: Department of State Police

Schedule

: Full-time

Shift

: Day

Job Posting

: Sep 19, 2025, 8:15:54 PM

Number Of Openings

: 1

Salary

: 77,396.02 - 113,577.62 YearlyIf you have Diversity, Affirmative Action or Equal Employment Opportunity questions or need a Reasonable Accommodation, please contact Diversity Officer / ADA Coordinator: Avoresha Jordine - 5089887418Bargaining Unit: 09-MOSES - Engineers/ScientistsConfidential: NoPotentially Eligible for a Hybrid Work Schedule: No","hiringOrganization":{"@type":"Organization","name":"Commonwealth of Massachusetts","sameAs":"https://www.mass.gov/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States-Massachusetts-Maynard - 124 Acton Street","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"Research Scientist II, Pathology Research","datePosted":"2025-09-20","description":"Research Scientist II, Pathology Research - (2505163)

Description

Job Description:

Conducts innovative scientific investigation by developing theories and devising scientific methods and procedures to apply scientific principles, theories and research in projects related to the mission of UTMB. Committed to the discovery of new innovative biomedical and health services knowledge leading to increasingly effective and accessible health care. Assures competence as a fully trained scientist in a specific discipline or area of expertise.

Essential Job Functions:

Research Scientists conduct innovative scientific investigations by developing theories and devising scientific methods and procedures to apply scientific principles, theories and research in projects related to the mission of UTMB. The Research Scientist will establish research objectives and methodology, design procedure, conduct research projects, analyze and interpret results, will publish and present research as author and co-author as well as lead or train Classified Research staff and Post Doctoral Fellows. In addition, supervises work of lab staff, oversees execution of assigned tasks.

Minimum Qualifications:

Ph. D, M.D, D.O., or D.V.M in related field and one year of related experience.

Salary:

Commensurate With Experience.

Qualifications

Equal Employment Opportunity

UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.

Primary Location

: United States-Texas-Galveston

Work Locations

: 0609 - Keiller Bldg 301 University Blvd. Keiller Building, rm 1.116 Galveston 77555-0609

Job

: Research Academic & Clinical

Organization

: UTMB Health: Regular

Shift

: Standard

Employee Status

: Manager

Job Level

: Day Shift

Job Posting

: Sep 19, 2025, 4:01:49 PM","hiringOrganization":{"@type":"Organization","name":"UTMB Health","sameAs":"https://www.utmb.edu/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States-Texas-Galveston","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":3,"item":{"@type":"JobPosting","title":"Forensic Scientist III - Toxicology Unit","datePosted":"2025-09-20","description":"Forensic Scientist III - Toxicology Unit2500056F

Description

In addition to the functions performed at the Forensic Scientist Level I and II, incumbents at this level may perform the following:

Supervise Forensic Scientists of a lower level within the unit as they identify, collect, preserve and examine evidence.
Supervise Forensic Scientists of a lower level to manage caseloads and assignment and oversee production of results. Decide how work must be delegated and assigned to Forensic Scientists of a lower grade based upon caseload, staffing strengths and other personnel considerations.
Lead activities, and provide training and direction in projects, processes, and functions where advanced subject matter knowledge is required.
Provide training/technical assistance to Assistant District Attorneys, Office of the Chief Medical Examiner (OCME), police/fire personnel and other stakeholders on the collection and preservation of evidence, the results of laboratory testing and on laboratory operations.
Perform and/or participate in validation studies/performance verifications for work groups or units.
Participate in the training to Forensic Scientists of a lower level as required.
Provide testimony as an expert and/or material witness in court and/or at formal judicial hearings in order to defend the findings of a test, examination or analysis, provide opinions on test results/examinations, demonstrate scientific procedures, and to explain test procedures and other job-related functions.
Assist in the development of, review, revise, and follow protocols and procedures for all unit duties, as required.
Ensure compliance with the laboratory’s administrative policies, quality assurance/quality control requirements and ANAB accreditation standards.
Implements quality control procedures; determines whether to accept or reject samples and/or materials sent to the laboratory for testing or analysis and assists in making necessary technical decisions to produce accurate results efficiently for all tests performed in the laboratory.
Creates a positive work environment and effectively communicates with others.
Performs all other related duties as assigned.

In addition to possessing the knowledge, skills and abilities required for Forensic Scientist II, incumbents are required to have the following at the time of hire:

Knowledge of safety practices and procedures adopted in a forensic laboratory.
Knowledge of chemistry research methods and procedures.
Knowledge of legal terms and the legal process.
Knowledge of how to direct subordinates in the proper techniques for handling, preserving, tracking and transporting samples and specimens used in a laboratory to preserve the integrity of the samples for presentation in a court of law.
Ability to generate legal documents for use in the court system.
Ability to take information about a case and determine what needs to be tested.
Ability to give oral and written instructions in a precise and understandable manner.
Ability to supervise, including planning and assigning work according to the nature of the job to be accomplished, the capabilities of subordinates and available resources; controlling work through periodic reviews and/or evaluations; motivating subordinates to work effectively and efficiently; and determining the need for and either recommending or initiating disciplinary action.
Ability to gather information through questioning and observing individuals and by examining records and documents and determining the proper format and procedures for assembling the items of information.
Ability to evaluate the quality of collected chemical data and/or physical evidence.
Ability to interact effectively with and establish rapport with diverse teams and groups of people.
Ability to understand and apply Massachusetts General Law and federal statutes, rules, regulations, policies, procedures, specifications, standards and guidelines governing assigned unit activities.

Qualifications

First consideration will be given to those applicants that apply within the first 14 days.

\n\n\n

Comprehensive Benefits

Want the specifics? Explore our Employee Benefits and Rewards!

\n\n\n

An Equal Opportunity / Affirmative Action Employer. Females, minorities, veterans, and persons with disabilities are strongly encouraged to apply.

\n\n

Official Title: Forensic Scientist III

Primary Location

: United States-Massachusetts-Maynard - 124 Acton Street

Job

: Laboratory Services

Agency

: Department of State Police

Schedule

: Full-time

Shift

: Day

Job Posting

: Sep 19, 2025, 8:15:54 PM

Number Of Openings

: 1

Salary (Pay Basis)

: 77,396.02 - 113,577.62 YearlyIf you have Diversity, Affirmative Action or Equal Employment Opportunity questions or need a Reasonable Accommodation, please contact Diversity Officer / ADA Coordinator: Avoresha Jordine - 5089887418Diversity Officer / ADA Coordinator Phone NumberBargaining Unit: 09-MOSES - Engineers/Scientists","hiringOrganization":{"@type":"Organization","name":"Commonwealth of Massachusetts","sameAs":"https://www.mass.gov/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States-Massachusetts-Maynard - 124 Acton Street","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":4,"item":{"@type":"JobPosting","title":"Data Scientist - TikTok Integrity and Safety (San Jose)","datePosted":"2025-09-20","description":"About the Team
\nJoin our team and leverage the power of data science to directly safeguard content, users, and privacy on TikTok. You will provide critical data-driven insights for platform responsibility and safety initiatives, including video content safety, live content safety, account security, privacy compliance, and moderation platforms, ultimately enhancing the safety experience for millions of users worldwide.
\n
\nResponsibilities - What You'II Do
\n1. Design, build, and maintain core metrics systems related to platform content safety and risk, including but not limited to content violation, user report, and account risk identification. Develop comprehensive monitoring and anomaly detection systems to quickly identify and analyze security incidents, providing data support for risk alerts and policy adjustments.
\n2. Apply rigorous statistical methods, including A/B testing, causal inference, regression analysis, and more, to evaluate the effectiveness of security policies. You will deeply analyze experiment results, provide quantitative evidence for business decisions, and continuously optimize experiment design to improve evaluation efficiency.
\n3. Develop quantitative analysis systems for specific business challenges and leverage data mining techniques to identify potential optimization opportunities. You will work closely with product, operations, R&D, and algorithm teams to translate analytical insights into actionable improvements and drive their implementation, ultimately improving platform safety.
\n4. Continuously explore and summarize data analysis methodologies, create reusable analysis frameworks and tools to improve the overall analytical capabilities of the team. Participate in the design and iteration of data products, productizing data analysis capabilities to provide business teams with more efficient and convenient data services.","hiringOrganization":{"@type":"Organization","name":"TikTok","sameAs":"https://www.tiktok.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose, California, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"Research Scientist","datePosted":"2025-09-20","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Research Scientist Responsibilities

Perform research and develop solutions to computer software and computer hardware problems.

Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta’s platforms.

Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.

Utilize technical research background, train new ranking models, and run experiments.

Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.

Use machine learning, statistics, or other data techniques to build algorithms.

Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.

Analyze and resolve computer challenges from a system engineering standpoint.

Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.

Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

Telecommute from anywhere in the US permitted.

Requires a PhD degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mechanical Engineering, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field, OR completion of all coursework towards a PhD degree in Computer Science, Engineering, Information Systems, Mechanical Engineering, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field

Requires completion of a university-level course, research project, internship, or thesis in the following:

1. Algorithms, data structures, or systems software

2. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources

3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision

4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines

5. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU and

6. Java, C++, Perl, PHP, or Python

Minimum Qualifications For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
US$225,569/year to US$240,240/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA | Remote, US","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Research Scientist Intern, Monetization Computer Vision (PhD)","datePosted":"2025-09-20","description":"Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Facebook offers countless ways to make an impact in a fast growing organization.

Meta is seeking Research Interns to join the Monetization Generative AI team. We are committed to advancing the field of generative AI by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as generative AI, deep learning, computer vision and natural language processing. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.

Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year.Research Scientist Intern, Monetization Computer Vision (PhD) Responsibilities

Conduct research to advance the science and technology of generative AI.
Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities).
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Devise data-driven models of image generation and text generation.
Publish research results and contribute to research that can be applied to Meta product development.
Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Artificial Intelligence, or relevant technical field
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
Experience in C, C++, Python, Java, or other related programming language
Experience building systems based on machine learning and/or deep learning methods
Intent to return to degree-program after the completion of the internship/co-op
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and ACL
Experience with Generative AI, including diffusion models and LLM’s
Background in advancing AI techniques in computer vision, including core contributions to open source libraries and frameworks in computer vision
Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science
Experience solving analytical problems using quantitative approaches
Experience setting up ML experiments and analyze their results
Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
Experience in utilizing theoretical and empirical research to solve problems
Experience working and communicating cross functionally in a team environment

Minimum QualificationsPreferred Qualifications For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$७,६५०/month to $१२,१३४/month + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA | New York, NY","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Research Scientist Intern, Monetization Generative AI - LLM (PhD)","datePosted":"2025-09-20","description":"Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.

We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.Research Scientist Intern, Monetization Generative AI - LLM (PhD) Responsibilities

Perform research to advance the science and technology of intelligent machines
Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources
Analyze and improve efficiency, scalability, and stability of various deployed systems
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
Publish research results and contribute to research that can be applied to Meta product development
Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Natural Language Processing, Speech Recognition, Sentiment Analysis, Computer Vision, or relevant technical field
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
Experience with Python, C++, C, Java or other related language
Experience with deep learning frameworks such as Pytorch or Tensorflow
Experience building systems based on machine learning, deep learning methods, or natural language processing
Experience with the development of enterprise level AI, Machine Learning, and Deep Learning platform involving big data management and GPU compute
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar
Experience with Large Language Models, on top of the latest research of text only input and multimodal input to large language models
Experience with ML areas such as Natural Language Processing, Speech, Multimodal Reasoning & Retrieval, Visual Question & Answering
Experience building systems based on machine learning, reinforcement learning and/or deep learning methods
Experience working and communicating cross functionally in a team environment
Experience with training deep neural networks for key NLP tasks
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
Intent to return to degree program after the completion of the internship/co-op

Minimum QualificationsPreferred Qualifications For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$7,650/month to $12,134/month + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"Data Scientist, Product Analytics","datePosted":"2025-09-20","description":"As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.

Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.Data Scientist, Product Analytics Responsibilities

Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]
Master's or Ph.D. Degree in a quantitative field

Minimum QualificationsPreferred Qualifications For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$१,१४,०००/year to $१,७१,०००/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale, CA | Los Angeles, CA | Bellevue, WA | Redmond, WA | Austin, TX | Menlo Park, CA | Seattle, WA | Burlingame, CA | Washington, DC | New York, NY | San Francisco, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Research Scientist Intern, Monetization Computer Vision (PhD)","datePosted":"2025-09-20","description":"Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Facebook offers countless ways to make an impact in a fast growing organization.

Meta is seeking Research Interns to join the Monetization Generative AI team. We are committed to advancing the field of generative AI by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as generative AI, deep learning, computer vision and natural language processing. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.

Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year.Research Scientist Intern, Monetization Computer Vision (PhD) Responsibilities

Perform research to advance the science and technology of generative AI.
Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities).
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Devise better data-driven models of image generation and text generation.
Publish research results and contribute to research that can be applied to Meta product development.
Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Artificial Intelligence, or relevant technical field
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
Experience in C, C++, Python, Java, or other related programming language
Experience building systems based on machine learning and/or deep learning methods
Intent to return to degree-program after the completion of the internship/co-op
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and ACL
Experience with Generative AI, including diffusion models and LLM’s
Background in advancing AI techniques in computer vision, including core contributions to open source libraries and frameworks in computer vision
Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science
Experience solving analytical problems using quantitative approaches
Experience setting up ML experiments and analyze their results
Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
Experience in utilizing theoretical and empirical research to solve problems
Experience working and communicating cross functionally in a team environment

Minimum QualificationsPreferred QualificationsAbout Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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Minimum Qualifications:

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
Experience with statistical data analysis, statistical modelling and experimental design.

Preferred Qualifications:

8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
4 years of experience as a data scientist, and experience applying advanced analytics to planning and infrastructure problems.
Experience with Large Scale Computing and Predictive Modeling in a business context.
Experience with Mathematical or Combinatorial Optimization.
Experience designing and building machine learning models.
Excellent problem-solving and project management skills.

About The Job

\nYou will co-lead the transition of the resource management of hyperscale containerized platforms from ad-hoc heuristics to optimization, reinforcement learning and beyond. Working with product designers and tech leads, you will provide quantitative perspective and expertise in ML methods and statistical tools both to optimize the products and to evaluate their impact. You will have an opportunity to impact the key infrastructure layer for large-scale AI deployments spanning tens of thousands of machines and products, including VertexAI and external customers.

Responsibilities

Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into analysis, evaluation metrics, or mathematical models.
Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
Design and evaluate models to mathematically express and solve problems with limited precedent. Use statistical approaches to quantify uncertainty in data and in results.
Use mathematical optimization/operational research methods to improve products' efficiency and customer experience.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Warsaw, Poland","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Senior Scientist Process Chemistry (alle Geschlechter)","datePosted":"2025-09-20","description":"

Bei Bayer sind wir Visionär*innen und entschlossen, die größten Herausforderungen unseres Planeten zu überwinden und zu einer Welt beizutragen, in der genug Nahrung und ausreichende medizinische Versorgung für alle Menschen keine unerreichbaren Ziele mehr darstellen. Wir tun dies mit Energie, Neugier und purer Hingabe, lernen stets von den Menschen um uns herum, erweitern unsere Denkweise, verbessern unsere Fähigkeiten und definieren das „Unmögliche“ neu. Es gibt viele Gründe, sich uns anzuschließen: Wenn Du nach einer abwechslungsreichen und bedeutungsvollen beruflichen Zukunft strebst, in der Du gemeinsam mit anderen brillanten Köpfen wirklich etwas bewegen kannst, möchten wir Dich in unserem Team haben.

\n\n

Senior Scientist Process Chemistry (alle Geschlechter)

Als Senior Scientist (alle Geschlechter) im Bereich Process Chemistry bist Du für die Entwicklung und Optimierung chemischer Prozesse verantwortlich, unterstützt den Scale-up vom Labor in die Produktion und implementierst neue Technologien. Du arbeitest mit unterschiedlichen Molekültypen, bringst dich in interdisziplinäre Projekte ein und treibst Innovationen in einem kollaborativen Teamumfeld voran.

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Deine Aufgaben Und Verantwortlichkeiten

\n\n

Du bist verantwortlich für die Entwicklung und Optimierung zugewiesener chemischer Prozesse mit dem Ziel, Vorteile in Ausbeute, Qualität und Kosten zu erzielen.
Du stellst die Wettbewerbsfähigkeit der Produktionsprozesse sicher, indem du neue und moderne chemische Technologien und Methoden evaluierst und anwendest.
Als Teil von Projektteams trägst du zu Prozessübertragungen aus dem Labor in die entsprechende Produktionsanlage oder an den Produktionsstandort bei (Scale-up), sowohl intern als auch extern.
Du gibst wissenschaftliche Impulse und Anleitung an Laborteams und achtest dabei stets auf die Einhaltung von Sicherheitsvorschriften.
Du gestaltest die Arbeitsweise innerhalb des Clusters „Process Chemistry“ aktiv mit
Du erstellst und pflegst eine umfassende Dokumentation von experimentellen Verfahren, Ergebnissen und Protokollen.
Du präsentierst deine Ergebnisse und Fortschritte sowohl internen Stakeholdern als auch auf externen Konferenzen und Workshops.
Du hältst dich über die neuesten Entwicklungen in der Prozesschemie und relevanten Technologien auf dem Laufenden und übernimmst Verantwortung für die Implementierung neuer Methoden und Technologien.
Der Aufgabenbereich umfasst sowohl kleine Moleküle als auch synthetische Modalitäten wie Protein-Konjugate oder Peptide

\n\n\n

Was Dich Auszeichnet

\n\n

Du verfügst über eine Promotion in organischer oder metallorganischer Chemie
Zusätzliche Postdoc-Erfahrung und/oder Industrieerfahrung ist von Vorteil
Du bringst exzellente Kenntnisse klassischer und moderner Synthesemethoden mit; Erfahrung mit digitalen Tools und Automatisierung in der Chemie ist wünschenswert
Du zeigst ein hohes Maß an Kreativität und Eigenverantwortung, indem du lösungsorientierte chemische Experimente entwirfst, durchführst und auswertest, um komplexe wissenschaftliche Fragestellungen zu lösen
Effektive und anpassungsfähige Kommunikationsfähigkeiten zählen zu deinen Stärken – Du engagierst dich aktiv für den Aufbau von Beziehungen über Fachgrenzen hinweg
Ein starkes Engagement für die präparative Laborarbeit, kombiniert mit einer reflektierten und zukunftsorientierten Teamarbeit sowie der Fähigkeit, kontinuierliche Verbesserungen voranzutreiben, zeichnet dich besonders aus
Fließende Deutsch- und Englischkenntnisse in Wort und Schrift runden dein professionelles Profil ab

\n\n\nWAS WIR ANBIETEN\n \nUnser Leistungspaket ist flexibel, wertschätzend und auf deine Lebensweise zugeschnitten, denn: Was dir wichtig ist, ist uns wichtig! \n \n

Deine finanzielle Stabilität sichern wir durch ein wettbewerbsfähiges Vergütungspaket, bestehend aus einem attraktiven Funktionseinkommen und einem leistungsorientierten Bonus. Darüber hinaus können Vorgesetzte durch Individuelle Einmalzahlungen oder den Top Performance Award herausragende Leistungen würdigen
Ob hybride Arbeitsmodelle oder Teilzeit: Wann immer es möglich ist, geben wir dir die Flexibilität zu arbeiten wie, wo und wann es für dich am besten ist
Deine Familie hat erste Priorität: Wir bieten liebevolle Konzernkitas an vielen Standorten, Unterstützung bei der Suche nach Kinderbetreuung, Freistellung für die Pflege von Familienmitgliedern, Ferienprogramme und vieles mehr
Deine Weiterentwicklung fördern wir durch Zugang zu Lern- und Entwicklungsmaßnahmen, Schulungen und Trainings der Bayer Learning Academy, Entwicklungsdialoge, sowie durch Coaching und Mentoringprogramme.
Deine Gesundheit und einen selbstfürsorglichen Lebensstil unterstützen wir durch viele Maßnahmen, wie kostenlose HealthChecks beim Werksarzt und Gesundheitsseminare
Diversität feiern wir in einer inklusiven Arbeitsumgebung, in der du willkommen geheißen, unterstützt und ermutigt wirst, deine ganze Persönlichkeit einzubringen

\n\n \nBe You. Be Bayer.\n \n

Deine Bewerbung

Dies ist deine Chance, dich mit uns gemeinsam den größten globalen Herausforderungen unserer Zeit zu stellen: die Gesundheit der Menschen zu erhalten, die wachsende Weltbevölkerung zu ernähren und den Klimawandel zu verlangsamen. Du hast eine Stimme, Ideen und Perspektiven, die wir hören möchten. Denn unser Erfolg beginnt mit dir. Sei dabei. Sei Bayer.

Bayer begrüßt Bewerbungen aller Menschen ungeachtet von ethnischer Herkunft, nationaler Herkunft, Geschlecht, Alter, körperlichen Merkmalen, sozialer Herkunft, Behinderung, Mitgliedschaft in einer Gewerkschaft, Religion, Familienstand, Schwangerschaft, sexueller Orientierung, Geschlechtsidentität oder einem anderen sachfremden Kriterium nach geltendem Recht. Wir bekennen uns zu dem Grundsatz, alle Bewerber*innen fair zu behandeln und Benachteiligungen zu vermeiden.
\n

\n\n

Standort: Deutschland : Nordrhein-Westfalen : Wuppertal-Elberfeld
Division: Pharmaceuticals
Referenzcode: 853578

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At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

\n\n

Senior Scientist Process Chemistry (all genders)

\n\n

As a Senior Scientist (all genders), you will be responsible for developing and optimizing chemical processes in the field of Process Chemistry, supporting scale-up from lab to production, and implementing new technologies. You’ll work across diverse molecule types, contribute to interdisciplinary projects, and help drive innovation within a collaborative team environment.

\n\n\n

Your Tasks And Responsibilities

\n\n

\nYou are responsible for the development and optimization of assigned chemical processes generating benefits in yield, quality and cost\n
You ensure competitiveness of production processes by evaluating and applying new and state-of-the-art chemical technologies and methods
\nYou contribute as part of project teams to process transfers from laboratories to the relevant production plant or site (scale up) internally and/or externally\n
\nYou provide scientific input and guidance to laboratory teams always ensuring compliance with safety regulations\n
You co-shape way of working within Process Chemistry cluster
\nYou develop and maintain comprehensive documentation of experimental procedures, results, and protocols\n
\nYou present findings and progress updates to internal stakeholders and at external conferences and workshops\n
\nYou stay up-to-date with the latest advancements in process chemistry and technologies and take ownership for implementing new technologies and methods\n
\nThe scope includes small molecules as well as synthetic modalities such as proteinconjugates or peptides\n

\n\n\n

Who You Are

\n\n

\nYou hold a PhD in organic or metal-organic chemistry, additional postdoctoral work and/or industry experience is a plus\n
\nYou bring excellent knowledge of classical and modern synthetic methods, knowledge of modern tools in digital chemistry and automation is a plus\n
\nYou demonstrate a high level of creativity and independence by designing, executing, and evaluating solution-oriented chemical experiments to solve complex scientific problems\n
\nEffective and adaptable communication skills describe you well, as you are strongly committed to building relationships across functions\n
\nStrong commitment to preparative laboratory work including a reflective and forward-looking way of working in a team combined with the ability to take actions for continuous improvements, counts among your key strengths \n
\nFluency in German and English, both written and spoken, complements your professional profile\n

\n\n\n

What We Offer

Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us!

\n\n

We ensure your financial stability through a competitive compensation package, consisting of an attractive base pay and our annual bonus. In addition, managers can recognize special contributions by granting an individual performance award
Whether it’s hybrid work models or part-time arrangements: Whenever it is possible, you will have the flexibility to work how, when and where it is best for you
Your family is a top priority. We offer loving company daycare centers at multiple locations, support in finding childcare, time off for the care of elderly or dependent family members, summer camps for children, and much more
We support your professional growth by providing access to learning and development opportunities, training programs through the Bayer Learning Academy, development dialogues, as well as coaching and mentoring programs
We promote health awareness and opportunities for selfcare through various measures, such as free health checks with the company doctor
We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work

\n\n

Be You. Be Bayer.

#Li-Amsemea

Your Application

This is your opportunity to tackle the world’s biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer.
\n
\nBayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.
\n

Location: Germany : North Rhine Westfalia : Wuppertal-Elberfeld
Division: Pharmaceuticals
Reference Code: 853578

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Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide.

Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.

We are seeking a customer-facing Associate Data Scientist/AI Trainer to join a Professional Services team focused on Conversational AI implementations. The ideal candidate should have a good understanding of Natural Language Processing technologies. In this role, you will be responsible for working with Developers and Conversation Designers to ensure highest levels of accuracy and performance in Five9’ AI based solutions such as intelligent virtual agents, agent guided solutions, and others.

Responsibilities:

Label language data following labeling guidelines.
Ensure that labeling/data analysis tasks are completed on time and to a high standard.
Review, maintain and improve labeling guidelines and procedures to ensure consistency and accuracy of labeling/analysis.
Collaborate with Data Scientists and Engineers to identify requirements and prioritize tasks.
Work with the project management team to ensure that labeling/analysis tasks are scheduled and completed according to project timelines.
Identify opportunities for process improvements and automation to increase efficiency and reduce errors.
Implement/improve methods to compare and evaluate LLM outputs.
Create and curate multilingual speech and text datasets.
Evaluate and recommend ML models for topic modeling, summarization, intent classification.
Create data visualization tools and dashboards.

Minimum Qualifications:

Familiarity with NLP labeling/analysis.
Undergraduate degree in Human-Computer Interaction, Computer Science, Cognitive Science, Linguistics or similar.
Understanding of Conversational AI concepts and technologies.
Excellent project management and communication skills.
Strong attention to detail and ability to maintain high-quality standards.
Demonstrated ability to work independently and as part of a team.
Fluent in English, both written and spoken.

Preferred Qualifications

Graduate degree or higher in in Human-Computer Interaction, Computer Science, Cognitive Science, Linguistics or similar.
Experience with programming and data analysis/statistics with languages and platforms such as Python, R, Jupyter, and SQL.
Experience in a customer-facing role (requirement gathering, presentations, etc.).
Familiarity with version control, unit tests, and other programming best practices.
Proficiency in additional languages.
Experience designing and conducting data experiments.
Familiarity with bot frameworks such as IBM Watson, Amazon Lex, Rasa or Google Dialogflow.
Experience with ML libraries, such as SciKit Learn, TensorFlow, etc.
Hands on experience with LLMs, prompt engineering, fine-tuning and evaluation.

Work Location: This role is fully remote for candidates who reside outside the 50 mile radius of our San Ramon office. For candidates who reside within 50 miles of our San Ramon location, this role is Hybrid and would require 3 days a week (M, W, TH) in our San Ramon office.

\n\n\n

As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process.

Additionally, the total compensation package for this position may also include an annual performance bonus, stock, and/or other applicable incentive compensation plans.

Our total reward package also includes:

Health, dental, and vision coverage, beginning on the first day of employment. Five9 covers 100% of the employee portion of the health, dental and vision coverage and shares a high portion of the dependent cost. We also offer Short & Long-Term Disability, Basic Life Insurance, and a 401k saving plan with employer matching.
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching and self-guided mindfulness exercises for all covered employees and their covered dependents.
Generous employee stock purchase plan.
Paid Time Off, Company paid holidays, paid volunteer hours and 12 weeks paid parental leave.

All compensation and benefits are subject to the requirements and restrictions set forth in the applicable plan documents and any written agreements between the parties.

The US base salary range for this role is below. $59,600—$134,400 USD

Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills.  The more inclusive we are, the better we are.  Five9 is an equal opportunity employer.

\n\n

View our privacy policy, including our privacy notice to California residents here: https://www.five9.com/pt-pt/legal.

Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.

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We began our consulting journey in 2015 and have been growing ever since! We do that by delivering the best quality work possible for our clients. We are not afraid to take risks and we always seek the best possible path to solve a problem, instead of just a quick makeshift solution. Thanks to our highly skilled team of engineers, we always perform tasks using our best abilities!
We are passionate about what we do everyday and we can always count on our team to have our backs. Teamwork is one of our core values! We don’t go anywhere by ourselves. We are driven to achieve great things. And we are extremely helpful to everyone. We expect you to be a team player.
When you join us, you will:
Build, validate, and deploy statistical and machine learning models (e.g. anomaly detection, fraud detection, clustering, NLP, generative AI).Experiment with advanced techniques (e.g. graph neural networks, LLMs, deep learning) to push the boundaries of what data can deliver.Collaborate with engineering, product, and business teams to translate strategic questions into data-driven solutions.Contribute to architectural discussions on scalable, production-ready ML systems.Share your knowledge with a team of passionate engineers and help foster a culture of agile, data-driven decision-making.Use your excellent English skills to communicate daily, both verbally and in writing, in cross-functional teams.

What we'd like to see in a candidate:
Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and SQL.Proven experience in Data Science, Data Analysis, or related roles.Solid foundation in statistics, data modeling, and applied machine learning.Hands-on experience with cloud platforms (AWS preferred: SageMaker, Lambda, RDS, S3).Ability to communicate insights clearly to both technical and non-technical stakeholders.Experience with version control (Git) and modern development practices.Excellent English communication.
Nice to haves:Background in scientific research or advanced studies (MSc/PhD in a quantitative field).Experience with LLMs (e.g. GPT, LangChain, Whisper, vector databases) or graph neural networks.Proficiency with full-stack or API development (FastAPI, Next.js, etc.) to deliver data products.Familiarity with big data tools (Spark, BigQuery, Redshift).Exposure to fraud detection, anomaly detection, or other high-impact ML use cases.Knowledge of efficient compiled languages (C++, Rust, Scala) for numerical computation.","hiringOrganization":{"@type":"Organization","name":"Ambush","sameAs":"https://www.getambush.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"State of Rio Grande do Sul, Porto Alegre, Brazil","addressCountry":"Brazil","addressRegion":"South America"}}}},{"@type":"ListItem","position":15,"item":{"@type":"JobPosting","title":"Data Scientist Senior - Sector Financiero","datePosted":"2025-09-20","description":"

NEORIS es un acelerador Digital que ayuda a las compañías a entrar en el futuro, teniendo 20 años de experiencia como Socios Digitales de algunas de las mayores compañías del mundo. Somos más de 4,000 profesionales en 11 países, con nuestra cultura multicultural de startup en donde cultivamos innovación, aprendizaje continuo para crear soluciones de alto valor para nuestros clientes.

Estamos en búsqueda de un/a Data Scientist Senior

Principales Responsabilidades:

Diseñar, desarrollar e implementar modelos avanzados de análisis descriptivo, predictivo y prescriptivo utilizando técnicas estadísticas y matemáticas.
Identificar y definir las variables clave, codificaciones, algoritmos y arquitecturas de modelos de datos que permitan optimizar procesos operativos y decisiones estratégicas.
Aplicar metodologías de ciencia de datos para mejorar la detección y prevención de fraudes, garantizando resultados tangibles y escalables.
Colaborar con equipos multidisciplinarios para integrar soluciones analíticas en sistemas de producción, asegurando cumplimiento con políticas, procedimientos y lineamientos institucionales.
Desarrollar y mantener pipelines de análisis robustos en entornos distribuidos (Big Data), con énfasis en repetibilidad y automatización.
Utilizar APIs de LLMs (Large Language Models) para potenciar procesos de análisis, generación de insights y automatización de reportes.
Monitorear el rendimiento de los modelos, realizar validaciones periódicas y proponer mejoras continuas.

Requerimientos:

Buscamos Profesional en Ingeniería en Informática, en Sistemas o afín con más de 4 años de experiencia en:

Diseño Experiencia comprobada en proyectos de Ciencia de Datos en entornos reales, preferiblemente en sector financiero.
Experiencia demostrable en gestión y prevención de fraude mediante modelos analíticos (detectores de anomalías, clasificadores, scoring, etc.).
Conocimiento práctico en tecnologías de Big Data y su aplicación en entornos empresariales.
Habilidades Técnicas:\n\n
Capacidad para trabajar con grandes volúmenes de datos, diseñar experimentos, validar modelos y comunicar resultados técnicos a equipos no técnicos.
Lenguajes de programación: Python (profundidad en librerías como Pandas, Scikit-learn, NumPy, XGBoost, etc.)
Procesamiento de datos masivos: Spark (PySpark), SQL y NoSQL (MongoDB, Cassandra, etc.)
Infraestructura en la nube: AWS (Athena, SageMaker, S3); conocimientos en Azure son un plus.
APIs y LLMs: Nociones conceptuales sobre el uso de modelos de lenguaje grande (LLMs) para automatización y generación de insights.

\n\n

Ofrecemos:

Cultura de innovación y crecimiento profesional
Vinculación a tiempo indeterminado (relación de dependencias)
Beneficios legales
Seguro médico privado
Póliza de vida
Día libre de cumpleaños
Trabajo modalidad híbrida en Quito, Ecuador

\n\n

Te invitamos a conocernos en http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.

Joseline Roca

#Li-Jr1

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Performs assays accurately and timely on patient samples using a variety of automated and manual testing procedures to aid physician in patient diagnosis and treatment. Maintains established departmental policies and procedures, objectives, safety, environmental and infectious control standards so that the laboratory remains in compliance with accreditation and licensing agencies.

Providence caregivers are not simply valued – they’re invaluable. Join our team at Swedish Edmonds and thrive in our culture of patient-focused, whole-person care built on understanding, commitment, and mutual respect. Your voice matters here, because we know that to inspire and retain the best people, we must empower them.

Required Qualifications:

Bachelor's Degree in Medical Technology or related discipline.
Upon hire: National Medical Laboratory Scientist - American Society for Clinical Pathology, or
Upon hire: National Medical Technologist - American Medical Technologists, or
Upon hire: National Medical Technologist - American Society for Clinical Pathology, or
Upon hire: National Technologist in Microbiology - American Society for Clinical Pathology, or
Upon hire: National Medical Laboratory Scientist - American Medical Technologists

Why Join Providence Swedish?

Our best-in-class benefits are uniquely designed to support you and your family in staying well, growing professionally, and achieving financial security. We take care of you, so you can focus on delivering our mission of improving the health and wellbeing of each patient we serve.

\n\nAt Providence, our strength lies in Our Promise of “Know me, care for me, ease my way.” Working at our family of organizations means that regardless of your role, we’ll walk alongside you in your career, supporting you so you can support others. We provide best-in-class benefits and we foster an inclusive workplace where diversity is valued, and everyone is essential, heard and respected. Together, our 120,000 caregivers (all employees) serve in over 50 hospitals, over 1,000 clinics and a full range of health and social services across Alaska, California, Montana, New Mexico, Oregon, Texas and Washington. As a comprehensive health care organization, we are serving more people, advancing best practices and continuing our more than 100-year tradition of serving the poor and vulnerable. \n\n

The amounts listed are the base pay range; additional compensation may be available for this role, such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.

Providence offers a comprehensive benefits package including a retirement 401(k) Savings Plan with employer matching, health care benefits (medical, dental, vision), life insurance, disability insurance, time off benefits (paid parental leave, vacations, holidays, health issues), voluntary benefits, well-being resources and much more. Learn more at providence.jobs/benefits.

Applicants in the Unincorporated County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Unincorporated Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

","hiringOrganization":{"@type":"Organization","name":"Providence","sameAs":"https://www.providence.org/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Edmonds, WA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":17,"item":{"@type":"JobPosting","title":"Senior Data Scientist, Genomics/Epigenetics, Science","datePosted":"2025-09-20","description":"

The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg in 2015 to help solve some of society’s toughest challenges — from eradicating disease and improving education to addressing the needs of our local communities. Our mission is to build a more inclusive, just, and healthy future for everyone.

The Team

CZI supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease.

Achieving our mission will only be possible if scientists are able to better understand human biology. To that end, we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact within systems — paving the way for new discoveries that will change medicine in the decades that follow:

Building an AI-based virtual cell model to predict and understand cellular behavior
Developing state-of-the-art imaging systems to observe living cells in action
Instrumenting tissues to better understand inflammation, a key driver of many diseases
Engineering and harnessing the immune system for early detection, prevention, and treatment of disease

CZI’s work in science includes grantmaking programs, open-source software development, and close collaboration with the Chan Zuckerberg Biohub Network. The CZ Biohub Network includes the San Francisco, Chicago, and New York Biohubs as well as the Chan Zuckerberg Imaging Institute. CZI also collaborates with institutional partners like the Kempner Institute for the Study of Natural & Artificial Intelligence at Harvard University. Join us in accelerating science.

The Opportunity

At CZI, we are generating unprecedented scientific datasets that drive biological modeling innovation:

Billions of standardized cells of single-cell transcriptomic data, with a focus on measuring genetic and environmental perturbations
10s of thousands of donor-matched DNA & RNA samples
PB-scale static and dynamic imaging datasets
TB-scale mass spectrometry datasets
Diverse, large multi-modal biological datasets that enable biological bridges across measurement types and facilitate multi-modal model training to define how cells act.

After model training, we make all data products available through public resources like CELLxGENE Discover and the CryoET Portal, used by tens of thousands of scientists monthly to advance understanding of genetic variants, disease risk, drug toxicities, and therapeutic discovery.

As a Senior Data Scientist, you'll lead the creation of groundbreaking omics datasets that decode cellular function at the molecular level, describe development, and predict responses to genetic or environmental changes. Working at the intersection of data science, biology, and AI, you'll define data needs, format standards, analysis approaches, quality metrics, and our technical strategy, creating systems to ingest, transform, and validate and deploy data products.

Success for this role means delivering high-quality, usable datasets that directly address modeling challenges and accelerate scientific progress. Join us in building the data foundation that will transform our understanding of human biology and move us along the path to curing, preventing, and managing all disease.

What You'Ll Do

Contribute to a robust omics data ecosystem: build single cell data ingestion pipelines, select data formats, standards, and database schemas, and write validation tools, QC approaches, and analysis pipelines.
Collaborate with ML engineers, AI Researchers, and Data Engineers to iteratively evaluate, refine and grow datasets to maximize model performance.
Discover and define new data generation opportunities, and manage the delivery of those data products to our AI team.
Collaborate with engineers, product managers, UX designers, and other data scientists to publish valuable datasets as part of CZI's open data ecosystem.

What You'Ll Bring

5+ years of experience with large scale genomic and/or epigenomic datasets.
Demonstrated delivery of large biological data products.
Experience with big data: extraction, transport, loading, databases, standardization, validation, QC, and analysis.
Experience with processing and orchestration pipelines, such as Argo Workflows, Databricks
Strong fundamentals in statistical reasoning and machine learning.
Experience with biological data analysis and QC best practices
Excellent written and verbal communication skills.
Enthusiasm to ramp up on technologies and learn new domains.
Experience working in a multidisciplinary environment (engineering, product, AI Research).

Compensation

The Redwood City, CA base pay range for a new hire in this role is $190,000 - $261,800. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

Better Together

As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.

Benefits For The Whole You

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.

CZI provides a generous employer match on employee 401(k) contributions to support planning for the future.
Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs.
CZI Life of Service Gifts are awarded to employees to “live the mission” and support the causes closest to them.
Paid time off to volunteer at an organization of your choice.
Funding for select family-forming benefits.
Relocation support for employees who need assistance moving to the Bay Area
And more!

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

Explore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers.

#Li-Hybrid

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If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you.\n

Major responsibilities\n
- Use machine learning and analytical techniques to create scalable solutions for business problems
- Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes
- Design, development, evaluate and deploy innovative and highly scalable models for predictive learning
- Research and implement novel machine learning and statistical approaches
- Work closely with software engineering teams to drive real-time model implementations and new feature creations
- Work closely with business owners and operations staff to optimize various business operations
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
- Mentor other scientists and engineers in the use of ML techniques

About the team
The India Machine Learning team works closely with the business and engineering teams in building ML solutions that create an impact for Amazon's IN businesses. This is a great opportunity to leverage your machine learning and data mining skills to create a direct impact on consumers and end users.

Basic Qualifications

- Master's degree or above in computer science, computer engineering, or related field
- Experience programming in Java, C++, Python or related language
- 3+ years of building models for business application experience
- PhD, or a Master's degree and experience building machine learning models or developing algorithms for business application
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

","hiringOrganization":{"@type":"Organization","name":"Amazon.com","sameAs":"https://www.amazon.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, Karnataka, IND","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"Senior Applied Scientist, AI Data Platform (CoreAI)","datePosted":"2025-09-19","description":"

Join Microsoft’s CoreAI team to build the AI Data Platform, the foundation for secure, scalable, reusable datasets that power model development.

The AI Data Platform team's mission is to build a central AI data platform that breaks down Microsoft’s data silos and manages the full lifecycle of first-party, third-party, synthetic, and human-labeled data, accelerating AI model development with secure, reusable, and compliant datasets.

The AI Data Platform team is responsible for large-scale data infrastructure, automation tools, and intelligence services to transform how Microsoft collects, generates, manages, and shares AI training data.

We are seeking Applied Scientists to drive scientific innovation in data generation, validation, evaluation, and automation. You will set the vision for intelligent, ML-driven services that manage the end-to-end data lifecycle, and partner with leaders across Microsoft to ensure Microsoft’s data investments deliver maximum AI impact.

Responsibilities

Advancing machine learning and data science to improve data quality, automate dataset generation, and design intelligent agent-driven services that manage the end-to-end data lifecycle.
Develop ML-based pipelines for data generation, validation, augmentation, and discovery (e.g., synthetic data, human-in-the-loop workflows).
Design and train intelligent agents to automate key parts of the dataset lifecycle, including ingestion, validation, PII detection and handling, governance, discovery, and feedback loops.
Build evaluation methods to measure dataset quality, coverage, and usefulness for large-scale model training.
Leverage AI/ML techniques (e.g., classification, clustering, anomaly detection, embeddings, LLM-based evaluation) to improve data discovery, curation, and governance.
Collaborate with engineers to integrate scientific methods and models into scalable pipelines and platform services.
Partner with AI product and research teams (CoreAI, MAI, M365, GitHub, MSR, and more) to align datasets with model training needs and identify new opportunities.
Contribute thought leadership by publishing or sharing insights internally and externally to shape Microsoft’s data-centric AI practices.

Qualifications

Required Qualifications

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
2+ years of experience applying machine learning or data science in practical settings.
Programming skills in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
Experience with data analysis, dataset design, or evaluation methodologies.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years

Preferred Qualifications

Master’s degree or PhD in Computer Science, Machine Learning, Statistics, or related field, or equivalent experience.
4+ years of experience applying machine learning or data science in practical settings.
Experience with LLM training pipelines, synthetic data generation, or data-centric AI approaches.
Knowledge of PII detection, data privacy, fairness, or compliance in AI systems.
Familiarity with distributed data systems (e.g., Spark, Databricks, Azure Data Lake).
Strong collaboration skills with engineers, TPMs, and product partners across multiple orgs.

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft posts positions for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#DataPlatform, #AIJobs, #MachineLearning, #DataScience #CoreAI

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Why Socure?

At Socure, we’re on a mission—to verify 100% of good identities in real time and eliminate identity fraud from the internet.

Using predictive analytics and advanced machine learning trained on billions of signals to power RiskOS™, Socure has created the most accurate identity verification and fraud prevention platform in the world. Trusted by thousands of leading organizations—from top banks and fintechs to government agencies—we solve real, high-impact problems at scale. Come join us!

About The Role

Join Socure’s Data Science Client Analysis team as a Sr. Data Scientist—this is a remote role based anywhere in the U.S..

In this unique role as Sr. Data Scientist, you will leverage your experience developing algorithms and analyzing massive data sets to tell compelling data stories while also working in partnership with the go-to-market team to drive revenue generation for Socure by ensuring that potential and existing customers can understand - through deep analysis - the benefit and value of Socure’s products throughout the pre and post sales cycle.

This role is ideal for a Data Scientist who thrives on communicating data stories to both technical and non-technical audiences. It’s a great fit for someone who enjoys working with data and directly influencing business decisions. Data Scientists on the Client Analysis team are rewarded for their contributions to driving new business with a generous incentive bonus, in addition to a competitive base salary.

What You'Ll Do

Analyze massive customer data sets, come up with actionable insights, and explain how our models perform and how we can help our customers build optimal risk management policies
Act as a Data Science advocate: deeply understand Socure’s solutions (products, models and algorithms) and customers’ risk challenges to educate and influence from a scientific perspective
Create convincing data stories to showcase how we can help our customers eliminate identity fraud, streamline their end-user experience, and support their risk management efforts holistically
Provide thought leadership and be the customer’s voice for building the next generation of Socure’s core models and product Create tools and automated workflows to improve the speed, accuracy, and reproducibility of our analysis
Partner closely with GTM teams (Sales, Solution Consultants, Account Managers and Technical Program Managers) to derive creative ways of analysis and identify opportunities for upsell and product optimization
Build ML models when it is advantageous to explore different approaches over the established models in production

What You Bring

You have a degree in a quantitative field, or equivalent work experience - advanced degree is preferred.
You have 5+ years experience in data science, data analysis, or analytics engineering
You have extensive theoretical and practical understanding of state-of-the-art supervised and unsupervised machine learning methods You know how to write clean, performant code in Python and Pyspark, and have 5+ years experience working with massive real-life datasets You have experience querying relational databases with SQL
You have experience working with cloud tools and technologies in AWS, Azure, Databricks, or GCP
You know how to tell compelling stories with data (dashboarding, building interactive data stories and actionable presentations) You are able to explain very complex algorithms such as ML/AI models, and analyses to non-technical audiences
You are an excellent verbal and written communicator and are comfortable delivering presentations with clear, complete messages You thrive in a remote startup work environment and are excellent at setting clear goals and holding yourself accountable You have experience in identity verification and fraud prevention (strongly preferred)

Technologies We Use

The client analysis team makes extensive use of the following tools, an ideal candidate will have experience with at least some of these tools and be excited to learn to use the other ones.

Python ecosystem (Pyspark, Pandas, Numpy, H2O, SHAP, Seaborn, Jupyter, etc)
Databricks
Airflow
Redshift, Snowflake, S3
Apache Spark, Apache Arrow
Amazon Emr
Looker, Tableau

Please note that Socure is not able to provide sponsorship for this opening, now or in the future.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.

Follow Us!

YouTube | LinkedIn | X (Twitter) | Facebook

","hiringOrganization":{"@type":"Organization","name":"Socure","sameAs":"https://www.socure.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Data Scientist II","datePosted":"2025-09-19","description":"

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world.  The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered. 

As a Data Scientist II on the Customer Experience team, you will play a pivotal role in advancing Microsoft’s AI transformation by working directly with engineering teams to develop hyperscale solutions that support sales, marketing, and support platforms. In this position, you will utilize advanced analytics, statistical modeling, machine learning, and generative AI techniques to extract insights, drive impactful actions, and address complex business challenges. This role enables you to collaborate with a diverse group of data scientists, engineers, and product managers, deepen your expertise in the rapidly evolving fields of AI and machine learning, and make a meaningful difference for thousands of users who rely on Microsoft’s business platforms.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

Work with key stakeholders to understand the underlying business needs and formulate the needs into discrete, manageable problems with well-defined measurable objectives and outcomes.
Transform formulated problems into implementation plans by defining success metrics, applying/creating the appropriate methods, algorithms, and tools, as well as delivering statistically valid and reliable results.
Write robust, reusable, and extensible code to support analysis and modeling.
Develop new ML or GenAI based models using advanced statistical and ML techniques.
Lead the evaluation of various GenAI based solutions, diagnosing issues and identifying root causes to support potential fine-tuning or reinforcement learning based fixes.
Use AI-powered tools in your daily work to accelerate coding, analysis, and other tasks.

Qualifications

Required Qualifications

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
1+ year(s) of experience building and/or evaluating generative AI based solutions.
1+ year(s) of experience using Python and SQL.
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:

This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
Ability to translate complex business insights into clear and actionable recommendations for business teams.
Familiarity with building and analyzing core business metrics.
Understanding of database systems with the ability to independently acquire, transform, and store data.
Expertise in designing and implementing Generative AI pipelines (e.g., RAG systems, domain/task-specific finetuning)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until September 24, 2025.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

","hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://www.microsoft.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond, Washington, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Scientist - LCMS","datePosted":"2025-09-19","description":"

Company Description

Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins works with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate. Eurofins believes it is a global leader in food, environmental, pharmaceutical and cosmetics products testing and in agroscience CRO services. It is also one of the global independent market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, CDMO, advanced material sciences and in the support of clinical studies.

In over just 30 years, Eurofins has grown from one laboratory in Nantes, France to over 47,000 staff across a network of more than 900 independent companies in over 50 countries and operating more than 800 laboratories. Eurofins offers a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products, as well as providing innovative clinical diagnostic testing services, as one of the leading global emerging players in specialised clinical diagnostics testing.

In 2021, Eurofins generated total revenues of EUR 6.72 billion, and has been among the best performing stocks in Europe over the past 20 years.

Job Description

The position will support a client team that is responsible for formulation research and development. The successful candidate will develop and execute analytical assays to support process development and formulation. We are seeking a candidate with a strong background in chemistry or related scientific fields, hands-on experience in analytical techniques, along with a willingness to learn and collaborate in a fast-paced, multi-disciplinary environment.

Job Responsibilities

Implement and perform a variety of assays to support material characterization, process optimization and formulation development of new drug modalities, such as lipid, mRNA, and protein characterization and analysis using LC-MS, LC-MS/MS, UPLC, SEC-MALS, etc.
Write test methods, procedure SOPs, and study reports.
Collaborate with cross-functional teams including genetic medicine, formulation, and analytical development teams to ensure timely delivery of assay data.
Troubleshoot, interpret, and present experimental data in multidisciplinary team meetings.
Maintain detailed records in electronic lab notebook and sample management system.
Willing to take on additional responsibilities as assigned.

Qualifications

Minimum Qualifications

B.S. in life sciences with 3-4 years of industry experience or M.S. in life sciences with 1-2 years of industry experience.
Hands-on experience with analytical assay development and optimization.
Hands-on experience with lipid, RNA, and protein LC-MS (and LC-MS/MS).
Hands-on experience with QExactive or Orbitrap instrumentation.
Ability to work effectively with minimal supervision after initial training.
Ability to troubleshoot and interpret experimental results and effectively present conclusions.

Preferred Qualifications

Experience with assay qualification following ICH guidance.
Ability to set priorities and multitask activities to effectively manage workflows and deliverables.
Strong team orientation, with excellent written and oral communication skills.
Authorization to work in the United States indefinitely without restriction or sponsorship.

Additional Information

What to Expect in the Hiring Process:

10-15 Minute Phone Interview with Region Recruiter
45-60 Minute Virtual Interview with Manager and/or Group Leader
45-60 Minute In-Person Meeting over Coffee for a Casual Discussion of the Role

The position is Full Time, Monday-Friday, 8 am-5 pm. Candidates currently living within a commutable distance of Boston, MA, are encouraged to apply.

Excellent full-time benefits including comprehensive medical coverage, dental, and vision options
Life and disability insurance
401(k) with company match
Paid vacation and holidays
Hourly rate is between $36 - $39, depending on education and experience
Annual: $74,880–$81,120

Eurofins Lancaster Laboratories Professional Scientific Services® (PSS) is a global, award-winning insourcing solution that places our people at our clients’ sites, dedicated to running and managing laboratory services while eliminating headcount, co-employment, and project-management worries.

We infuse our 55-year track record of scientific and laboratory operations expertise, as well as HR and great place to work best practices, to recruit, hire, train, and manage highly qualified scientists to perform laboratory services using our client’s quality systems and equipment.

To learn more about Eurofins Lancaster Laboratories, please explore our website www.eurofinsus.com.

Eurofins USA PSS Insourcing Solutions is a Disabled and Veteran Equal Employment Opportunity employer.

","hiringOrganization":{"@type":"Organization","name":"Eurofins","sameAs":"https://www.eurofins.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Boston, MA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Data Scientist II, Logistics","datePosted":"2025-09-19","description":"

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

About The Role

We are looking for an experienced data scientist with a background in complex and dynamic marketplace problems. The successful candidate will take on a leading role working on Instacart’s core marketplace problems including dynamic pricing, matching, and experimentation. The role will partner with senior product managers and engineers to tackle analytical, experimental, and inferential problems to understand and expand the efficient frontiers of a balanced, sustainable, and resilient multi-sided marketplace.

About The Team

The Logistics data science group investigates foundational and applied problems at the core of Instacart’s marketplace and fulfillment business. Data scientists in Logistics tackle analytical, experimental, and inferential problems to understand and expand the efficient frontiers of a balanced, sustainable, and resilient multi-sided marketplace. Data scientists work closely with Machine Learning and Operations Research Engineers, Product Managers, and policy partners to iterate marketplace systems, develop new products, and improve experimentation capabilities.

\n\n

About The Job

Define and enhance analytical frameworks that guide product decision-making and strategy.
Design and analyze experiments to derive actionable insights for improving product and system performance.
Build models and simulations to predict the outcomes of marketplace and policy changes.
Support the development and refinement of algorithms governing marketplace fulfillment systems.
Collaborate on strategic projects to improve experimentation capabilities and analytical tooling.
Help shape Instacart’s marketplace through your expertise in areas such as causal inference, machine learning, forecasting, or optimization modeling.
Clearly communicate findings and recommendations to leadership and cross-functional teams.

\n\n

About You

Minimum Qualifications

2+ years of experience in a data science, analytics, or equivalent role.
Experience designing experiments and interpreting results to draw actionable conclusions.
Proficiency in SQL and writing queries for complex datasets.
Proficiency in Python or R for data analysis and modeling.
Ability to turn loosely defined problems into clearly structured analyses and business outcomes.
Strong analytical mindset, flexibility to adapt in a fast-changing environment, and eagerness to learn and grow.

\n\n

Preferred Qualifications

Experience working with multi-sided marketplaces.
Experience working in dynamic pricing, auction, and matching problem spaces
Hands-on experience developing and evaluating statistical, machine learning, or optimization models.
Hands-on experience in experimentation design, methods, and tooling in a product-driven organization.
Familiarity with geospatial data and methods.
Advanced degree (MS or PhD) in Statistics, Economics, Operations Research, Mathematics, or a related field.
Excellent communication skills for cross-functional collaboration and leadership engagement

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For US based candidates, the base pay ranges for a successful candidate are listed below.

CA, NY, CT, NJ$164,000—$182,000 USDWA$158,000—$175,000 USDOR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI$150,000—$167,000 USDAll other states$136,000—$151,000 USD","hiringOrganization":{"@type":"Organization","name":"Instacart","sameAs":"https://www.instacart.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States - Remote","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Flow Cytometry QC Scientist – Cell Therapy","datePosted":"2025-09-19","description":"

Company Description

The work we do at Eurofins Professional Scientific Services matters, and so do our employees. At Eurofins PSS, we put a focus on your professional growth. We provide our employees the ability to break into the biopharmaceutical industry and grow from the bottom up. We have the supportive teams and tools available to invest in you while also affording you work-life balance and a competitive benefits package.

If you’re looking for a rewarding career, a place to call home, apply with us today!

Job Description

We are seeking a highly motivated Flow Cytometry QC Scientist to support Quality Control operations in a GMP-compliant cell therapy environment. This role is responsible for executing analytical testing to ensure the safety, identity, strength, purity, and quality of cell-based products. The primary focus will be on flow cytometry assays, with cross-training in complementary analytical methods such as ELISA, qPCR, and cell culture.

Key Responsibilities:

Perform flow cytometry testing to support assays including percent transduction efficiency and CD90 expression.
Execute analytical test methods for in-process samples, bulk drug substance, final drug product, and raw materials for release and stability.
Coordinate and schedule testing activities in alignment with manufacturing timelines.
Review and maintain compliance of SOPs and analytical test procedures.
Ensure accuracy and completeness of QC raw data in accordance with SOPs and regulatory standards.
Troubleshoot assay performance and investigate nonconforming data.
Respond to Out of Specification (OOS) results, initiate investigations, and execute CAPAs.
Uphold data integrity and document work using Good Documentation Practices and ALCOA++ principles.
Maintain laboratory cleanliness, organization, and logbook accuracy.
Conduct internal audits and GEMBA walk-throughs to ensure compliance.
Author and execute protocols, technical reports, and change controls.
Perform equipment standardizations and qualifications as needed.
Train and mentor other laboratory personnel.
Collaborate with Manufacturing, Quality Assurance, and Facilities to meet operational goals.

Qualifications

Bachelor’s degree in Biochemistry, Chemistry, or a related scientific discipline.
Minimum 2 years of experience in a GMP Quality Control environment with hands-on flow cytometry.
At least 2 years of mammalian cell culture experience in academic or industry settings.
Minimum 1 year working in a cGMP and GDP-regulated pharmaceutical environment.
Familiarity with analytical instruments such as flow cytometers, UV plate readers, microscopes, and pH meters.
Strong verbal and written communication skills.
Willingness to work occasional off-shift and weekends.
Must be eligible to work in the U.S. indefinitely without sponsorship.

Additional Information

Position is Full Time, First Shift - some evening and weekend work may be required as needed. Candidates currently living within a commutable distance of Exton, PA, are encouraged to apply.

Excellent Full-Time Benefits Include:

Medical Coverage: Comprehensive medical insurance options
Dental & Vision: Full dental and vision coverage available
Life & Disability Insurance: Employer-sponsored plans
Retirement: 401(k) plan with company match
Paid Time Off: Vacation days, paid holidays, and additional PTO options

Eurofins USA PSS Insourcing Solutions is a Disabled and Veteran Equal Employment Opportunity employer.

","hiringOrganization":{"@type":"Organization","name":"Eurofins","sameAs":"https://www.eurofins.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Exton, PA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Flow Cytometry Scientist","datePosted":"2025-09-19","description":"

Company Description

If you’re looking for a rewarding career, a place to call home, apply with us today!

Job Description

General Responsibilities:

Perform testing in support of product manufacturing, employing manual and automated analytical equipment. Provide direct support of Quality Control analytical processes, test procedures, qualifications, validations, assay troubleshooting, equipment upkeep, logbook review, and inventory control.

Position Details:

Execute Analytical Test Methods for in-process samples, bulk intermediate (drug substance), final drug product, and raw materials release/stability testing. Primary testing responsibility will be conducting flow cytometry testing to support assays such as percent transduction efficiency and CD90. However, cross-training in cell culture and other analytical methods will be required (e.g. ELISA, qPCR).
Coordinate, schedule, and execute testing based on manufacturing schedules.
Participate in the review process of SOPs and analytical test procedures as necessary to maintain compliance.
Review Quality Control raw data for accuracy, completeness and compliance with effective SOPs to ensure the strength, identity, safety, purity and quality of the product.
Troubleshoot and analyze nonconforming data.
Perform timely response to Out of Specification (OOS) results, including notification to area management. Perform and document laboratory investigations to ensure that potential problems and root causes are identified, impact assessed and actions to prevent recurrence are considered and implemented. Execute associated CAPA.
Ensure data integrity is maintained for all applications, programs, and executed work. Ability to document all work using Good Documentation Practices and ALCOA++ principles.
Maintain laboratory housekeeping including organization, cleanliness, and logbooks.
Perform internal audits and GEMBA walk-throughs of laboratory areas to maintain compliance.
Author and/or execute protocols and generate technical reports.
Author and manage change controls.
Performance of equipment standardizations and qualification, as necessary.
Perform training of other employees.
Communicate with the individual Operations Departments (Manufacturing, Quality Assurance, Facilities) to ensure that Company objectives are met on schedule.

Qualifications

Basic Minimum Qualifications:

BS in biochemistry, chemistry, or similar scientific discipline
2+ years in a quality control GMP environment specifically working on Flow Cytometry methodology in a similar role in the biologics industry
2+ years of mammalian cell culture in an academic or industrial laboratory
At least a year of working in a cGMP and GDP environment in the pharmaceutical industry
Familiarity with analytical equipment such as UV absorbance plate readers, Flow cytometers, microscopes, and pH meters is recommended
Excellent verbal and written skills with good interpersonal communication skills
Must be open to occasional off shift and weekend work
Must be eligible to work in the United States indefinitely without sponsorship.

Additional Information

Position is Full Time, First Shift - some evening and weekend work may be required as needed. Candidates currently living within a commutable distance of Exton, PA, are encouraged to apply.

Excellent Full-Time Benefits Include:

Medical Coverage: Comprehensive medical insurance options
Dental & Vision: Full dental and vision coverage available
Life & Disability Insurance: Employer-sponsored plans
Retirement: 401(k) plan with company match
Paid Time Off: Vacation days, paid holidays, and additional PTO options

Eurofins USA PSS Insourcing Solutions is a Disabled and Veteran Equal Employment Opportunity employer.

","hiringOrganization":{"@type":"Organization","name":"Eurofins","sameAs":"https://www.eurofins.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Exton, PA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-19","description":"

About Customer.Io

Over 7,500 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.

Hi there! We’re looking for a Senior Data Scientist to join our central Data team — the Center of Excellence for Data at Customer.io. Our team partners across the business to deliver insights, predictive models, and data-powered strategies that accelerate growth. In this role, you’ll collaborate with Product, Marketing, Sales, and Customer Experience to design and deploy models that forecast outcomes, identify opportunities, and prescribe the best paths forward. You’ll be a trusted advisor who helps shift our company from reporting on the past to predicting and shaping the future.

What We Value

Curiosity and rigor — you dive deep into data, asking the right questions and testing assumptions.
Collaboration and ownership — you partner across functions, take initiative, and see work through to real-world impact.
Applied machine learning — you use statistical and ML models to solve real business problems, not just build for the sake of building.
AI-first mindset — you’re energized by the opportunity to apply predictive and prescriptive analytics in ways that scale across the business and product.
Impact-oriented storytelling — you can distill complex modeling results into clear, actionable insights for executives and operators alike.

What You’Ll Do

Design and deploy predictive models that improve customer acquisition, conversion, and retention (e.g., lead scoring, customer health, product adoption forecasts).
Partner with Product, Revenue, and CX teams to identify opportunities where modeling and experimentation can drive measurable business outcomes.
Build prototypes and production-ready models in Python, leveraging our modern data stack (Snowflake, dbt, etc.) for scalable development and deployment.
Collaborate with data engineering to ensure clean, reliable, and extensible data pipelines for advanced analytics and ML use cases.
Translate modeling outputs into clear recommendations and decision frameworks for senior leaders.
Contribute to the design of analytics capabilities that can extend into our products, creating differentiated customer-facing insights.

What We'Re Looking For

5–7 years of experience in data science, applied machine learning, or advanced analytics, with a proven track record of driving impact.
Strong SQL and Python skills — able to wrangle large datasets efficiently and build end-to-end analyses and models.
Experience with forecasting, classification, or scoring models applied in business contexts.
Familiarity with modern data workflows and tools (dbt, Snowflake, Hex, Streamlit).
Strong communication skills, with the ability to explain complex models and tradeoffs to non-technical stakeholders.
Bonus: experience embedding ML insights into applications or customer-facing products.

Compensation & Benefits

We believe in transparency. Starting salary for this role is $173,000 (or equivalent in local currency) depending on experience and subject to market rate adjustment.

We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.

See full benefits here →

Our Process

No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.

30-minute call with Maria (Recruiter)
45-minute call with Hiring Manager
30-minute calls with 4 potential team members
Take-Home Assignment + 45-minute review call

All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.

Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.

Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io.

Join Us!

Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.

\n","hiringOrganization":{"@type":"Organization","name":"Customer.io","sameAs":"https://customer.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Americas Remote"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"TRA Detroit Clinical Laboratory Scientist Local and Travel Contracts","datePosted":"2025-09-19","description":"

Job Description and Requirements

Specialty: Allied
Discipline: Clinical Laboratory Scientist Local and Travel Contracts
Start Date: ASAP
Duration: 13 Weeks
40 Hours per week
Shift: PM
Employment Type: Travel and Local Contract

\n\n\n\n\n\n\n

Rate: $51 (Local) $2,119 (Travel)

The above details are subject to change, including pay, which the recruiter will confirm upon a verbal conversation

Weekly pay
401K with company match
Housing and Per Diem stipend for Travel Contracts
Guaranteed Hours (For Travel Contracts)
Preferred Booking Agreement (for Local Contacts)
Referral bonus (TRA Active Employees)

Education:

Required: Associate degree or equivalent experience; graduate of accredited school of medical laboratory technicians or equivalent. The above meets required criteria as defined by CLIA regulations for High Complexity testing (42 CFR 493.1489, Jan. 24, 2003).

Experience:

Required: 2 years as a clinical laboratory experience in an accredited laboratory; minimum 1 year blood bank experience

Certifications:

Required: Registered through ASCP, AMT, or equivalent. Licensure, as required by State law.

Physical Demands:

Lift/position up to 20 lbs. Push/pull up to 50 lbs. of force. Frequent sitting, standing and walking. Occasional reaching, stooping, and bending. Manual dexterity, mobility, touch, auditory to perform all the related duties of the position.

\n\nWho We Are\n\n
\n\n\n We are a community built on care. Our caregivers and supporting staff extend compassion to those in need, helping to improve the health and well-being of those we serve, and provide comfort and healing. Your community is our community.\n\n\n
\n\n\nOur Story\n\n\n
\n\n\n We started out as a small operation in California. In May 1969, we acquired four hospitals, some additional care facilities and real estate for the future development of hospitals. Over the years, we've grown tremendously in size, scope and capability, building a home in new markets over time, and curating those homes to provide a compassionate environment for those entrusting us with their care.\n\n\n
\n\n\n We have a rich history at Tenet. There are so many stories of compassionate care; so many \"firsts\" in terms of medical innovation; so many examples of enhancing healthcare delivery and shaping a business that is truly centered around patients and community need. Tenet and our predecessors have enabled us to touch many different elements of healthcare and make a difference in the lives of others.\n\n\n
\n\n\nOur Impact Today\n\n\n
\n\n\n Today, we are leading health system and services platform that continues to evolve in lockstep with community need. Tenet's operations include three businesses - our hospitals and physicians, USPI and Conifer Health Solutions.\n\n\n
\n\n\n Our impact spreads far and deep with 65 hospitals and approximately 510 outpatient centers and additional sites of care. We are differentiated by our top notch medical specialists and service lines that are tailored within each community we serve. The work Conifer is doing will help provide the foundation for better health for clients across the country, through the delivery of healthcare-focused revenue cycle management and value-based care solutions.\n\n\n
\n\n\n Together as an enterprise, we work to save lives and can accept nothing less than excellence from ourselves in service of our patients and their families, every day.","hiringOrganization":{"@type":"Organization","name":"Tenet Healthcare","sameAs":"https://www.tenethealth.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Detroit, MI, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Sr. Scientist, CMC Analytical","datePosted":"2025-09-19","description":"

About Loyal

Loyal is a clinical-stage veterinary medicine company developing drugs intended to extend the lifespan and healthspan of dogs. Our mission is to help dogs live longer, healthier lives.

We’ve already achieved significant milestones on our path to earning FDA approval for the first lifespan extension drug for any species. We have three products in our pipeline and are on track for FDA conditional approval within the next year.

Loyal is a well-funded startup in growth mode. Our team includes scientists, veterinarians, engineers, operators, and creatives. This role will play a key role in supporting our growth strategies.

About The Role

We’re seeking an experienced Sr. Scientist, CMC Analytical to serve as the SME in analytical methods and data interpretation, providing advanced technical analysis of data generated during product release, stability testing, and method lifecycle activities. This role requires deep expertise in analytical method development, data trending and interpretation, with the ability to translate findings into actionable insights that inform quality decisions and regulatory strategy.

Your work will ensure that robust, phase-appropriate analytical methods and data packages support product quality, regulatory compliance, and successful advancement of therapies from early development through commercialization.

This role is for someone who applies strong technical judgment to ensure robust product understanding, reliable quality control performance, and continuous method improvement throughout clinical development and commercialization.This role is for someone who has extensive experience with method development for small molecule drug product and API testing particularly with new chemical entities. The ideal candidate should be able to critically review all data for potential trends or issues. Experience managing outside labs is a plus.

You will be reporting to our Sr. Manager, CMC Analytical.

Your Daily Work Will Include:

Perform in-depth review and interpretation of analytical data (HPLC/UPLC, Dissolution, KF, GC, etc) across release and stability programs.
Identify subtle trends, shifts, or outliers in complex data sets that may impact product quality, method robustness, or long-term stability.
Provide expert technical input during OOS, OOT, and atypical result investigations, ensuring scientifically sound conclusions.
Lead trending of release and stability data across programs, highlighting emerging quality signals and risks.
Review and assess data from method development, transfer, qualification, and validation activities.
Ensure Quality Control data packages are complete, scientifically defensible, and compliant with cGMP and regulatory expectations.

About You:

A Bachelor’s or Advanced degree (master’s or Ph.D.) in Analytical Chemistry, Chemistry, Biochemistry or a related field.
6+ years of experience in quality control laboratory, analytical or method development, with significant experience with small molecules preferred.
Deep and broad knowledge of analytical chemistry in support of small molecule release and stability method development, raw material control, in process control, and characterization.
Prior experience managing CDMO relationships, tech transfer, and Quality Control programs desired.
Deep understanding of cGMP, ICH/VICH, FDA, and EMA analytical expectations.
Proven track record of QC data interpretation and support of regulatory filings.
Creative and thoughtful approach to problem solving technical issues.
Ability to quickly learn new concepts and processes.
Adaptability, creativity and high-performer in risk-assessment and strategic thinking.
Detailed eye for logistics and problem solving.
Willing to work and comfortable in a fast-paced startup environment with a dynamic team.
Clear and polite communication skills.
Familiarity with Google Workspace applications (e.g., Sheets, Slides, etc.).

Salary: $125,000 - $145,000

Loyal Benefits:

Full-coverage health insurance — medical, dental and vision — for you and your dependents
$1,000 home office equipment stipend
$1,200/year learning budget for books, courses, etc.
$250/month wellness budget for gym, cleaners, spa, food, etc.
All 3-day weekends are turned into 4-day weekends 🎉
Unlimited vacation and paid holidays
Paw-ternity leave — adopt a dog and get a day off with your new family member 🐶
Competitive salary
Company equity options grant for new hires

Loyal is founded and led by a first-gen female CEO and is proud to be an equal opportunity employer. We do not discriminate against applicants based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.

Our Values

Lean Into Moonshots

We don’t settle for incremental change. We have the bravery to take risks and shoot for the impact we want to have.

Opportunity Is At The Intersection

We lean into combining disciplines, expertises, and perspectives not normally adjacent. We design our organization to facilitate cross-pollination and cross-collaboration. We reject silos.

Expertise Without Ego

Titles do not determine who has a voice. We work on hard technical problems and have a ton of fun while at it.

Learning By Doing

Our path is novel and many things we are doing have never been done before. We lean into MVPs and are open to unexpected outcomes.

Lead With Context

We value leading with context. We equip people with the context and background necessary to make their own decisions and act in the best interest of Loyal. We empower teams to succeed.

Empathy And Respect For All Life

Our patients are not just numbers. Our work is intentional, thoughtful, and guided by respect for life. We take our responsibility to pets and pet parents seriously.

","hiringOrganization":{"@type":"Organization","name":"Loyal","sameAs":"https://loyal.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - US","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"1237# Principal Data Scientist","datePosted":"2025-09-19","description":"\n

Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds...

ClinChoice is searching for a Principal Data Scientist to support our inhouse project.

ClinChoice is a global full-service CRO with a strong focus on quality, professional development, and supportive culture. As a client-facing role, we are looking for confident candidates with the ability to work independently whilst establishing a high-trust environment with the client’s counterparts.

\n\n

Key Responsibilities

\nLead the design, development, and deployment of advanced analytics and machine learning solutions for clinical, biomarker, and real-world data.\n
\nCollaborate with cross-functional teams including Clinical, Biostatistics, Data Management, and Medical Affairs to identify business problems and develop data-driven strategies.\n
\nProvide thought leadership in data science methodologies, tools, and best practices within the pharma domain.\n
\nGuide the development of predictive models, risk stratification tools, and patient segmentation approaches to support clinical and commercial decisions.\n
\nOversee the integration, curation, and analysis of diverse data sources (clinical trial data, EHR, claims, genomics, imaging, etc.).\n
\nEnsure compliance with regulatory and privacy requirements (HIPAA, GDPR) when handling sensitive patient data.\n
\nMentor and guide junior data scientists and analysts to elevate team capabilities.\n
\nPartner with IT and data engineering teams to ensure scalable, production-ready solutions.\n

\n\n

Required Qualifications

\nPhD or Master’s in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field.\n
\n8+ years of experience in data science, with at least 3 years in the pharmaceutical/biotech industry.\n
\nProven expertise in machine learning, statistical modeling, and big data analytics.\n
\nStrong programming skills in Python, R, and SQL; experience with cloud platforms (AWS, Azure, GCP) preferred.\n
\nExperience with clinical trial data (CDISC standards, SDTM, ADaM) and/or real-world evidence (RWE) data.\n
\nExcellent communication skills with the ability to translate complex analytics into actionable business insights.\n
\nDemonstrated leadership skills and experience managing or mentoring data science teams.\n

\n\n

The Application Process

Once you have submitted your CV, you will receive an acknowledgement that we have received it. If you have the requirements we need, you will be invited for a phone interview as the first step. Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful.

Who will you be working for?

About Clinchoice

ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific.

Our Company Ethos

Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset, and they are the fulcrum around which all ClinChoice activities are built, and close management and training are the core instruments to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology. The success of these core values is evidenced by our low industry-average turnover rates.

ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it.

#L1-DNP

\n\n\n","hiringOrganization":{"@type":"Organization","name":"ClinChoice","sameAs":"https://clinchoice.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"Senior Clinical Data Scientist, Data Products & Insights","datePosted":"2025-09-19","description":"About N-Power Medicine
N-Power Medicine aims to establish a new paradigm in drug development by reinventing the ‘how’ and transforming clinical trials through better integration with clinical practice, ensuring broader participation by physicians and patients. We are building an exceptional multi-disciplinary team with diverse expertise spanning healthcare, engineering, technology and regulatory, and with people who share our core value of Empowering Community through generosity, curiosity and humility. We are working with urgency to bring better therapies to patients faster.
Position Overview
N-Power Medicine is hiring a Senior Clinical Data Scientist to lead the development of scalable data products, analytical endpoints, and research studies leveraging real-world data (RWD), prospective external control arms (ECAs), and other advanced healthcare data sources.This role sits at the intersection of data science developer and product owner: you will design, build, and maintain reproducible R-based tools and analytics frameworks while shaping product requirements and ensuring adoption by internal and external stakeholders. Success means delivering robust, validated analytics capabilities that accelerate clinical research, democratize access to data and insights, and empower teams across the organization to make evidence-based decisions.This position is remote within the United States.
Role Objectives and Responsibilities
-Develop analytics endpoints and frameworks in R for prospective ECA and retrospective RWD studies, ensuring reproducibility, transparency, and scalability across multiple indications.-Design and own reusable data science tools/products that enable broader teams—clinical, product, biostatistics, and external collaborators—to access data, derive insights, and run analyses without deep programming expertise.-Create standardized, validated endpoints that can be used repeatedly across studies, accelerating timelines and improving comparability of results.-Collaborate with cross-functional teams to define requirements, prioritize features, and deliver solutions that are intuitive, scientifically rigorous, and research-ready.-Act as both builder and product leader: scope, prototype, and productionize solutions while ensuring they align with broader business strategy and are adopted by stakeholders.-Champion democratization of data and insights by building tools, documentation, and workflows that expand access and usability across the organization and network.-Mentor and guide teammates, contributing to a culture of technical excellence, transparency, and knowledge-sharing.-Engage externally with collaborators, sponsors, and scientific partners to demonstrate the rigor and impact of our analytics solutions.-Perform other duties as assigned to support team and company goals.
Education, Experience, Behavioral Competencies, & Skills
-5+ years of progressive experience in data science and healthcare research.-Bachelor’s degree or equivalent experience.-Deep expertise in R programming (package development, reproducible pipelines, RMarkdown/Quarto, Shiny, tidyverse/dplyr).-Experience with clinical research data (RWD, EHR/EMR, claims, registries, clinical trial data).-Proven track record of building scalable, validated analytical tools that empower non-technical users to generate insights.-Demonstrated ability to translate technical capabilities into accessible, productized solutions used across teams.-Excellent communication skills and ability to engage both technical and non-technical stakeholders.-Bias for action and problem solving - we are looking for builders to join the team and help us build toward a big vision.-Generous, Curious & Humble.
Preferred:-Experience with external control arms (ECAs) and prospective RWD studies, preferably with experience in oncology.-Strong understanding of causal inference, survival analysis, and endpoint development in regulatory-relevant contexts.-Familiarity in working with Life Sciences teams at large pharma organizations.-Knowledge of data engineering practices (version control, CI/CD, workflow orchestration).-Leadership experience mentoring junior data scientists.
Travel Requirements
Ability to travel may be required from time to time.
Pay Information
The expected hourly range for this position is $130,000 and $167,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. N-Power Medicine (NPM) offers equity at hire as well as a discretionary annual bonus which may be available based on Company performance. This position is eligible for company benefits at 30+ hours/week.
More About Us:We are a mission-driven, well-funded, rapidly growing company, eager to attract passionate professionals offering a highly attractive compensation package with a balanced and flexible work environment, competitive industry benefits as well as a 401K plan and other great company “perks.”
We are an Equal Opportunity Employer and value diversity at our company. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Covid-19 Policy – The Company is committed to providing and maintaining a safe workplace, and to safeguard the health and well-being of our employees, families, visitors, and the community. While vaccination remains one of the most important tools in advancing the health and safety of employees and promoting the efficiency of workplaces, we are now in a different phase of our response when these measures are no longer necessary. We currently do not have mandatory COVID-19 vaccination requirements for our employees and contractors, as the COVID-19 public health emergency has ended. However, there are certain N-Power Medicine employees and contractors who, based on their role, will be required to continue to follow our 2021 COVID-19 vaccination and other requirements as mandated by N-Power Medicine’s partners they serve. We reserve the right to modify or amend our corporate policy at any time.
Applicants must be currently authorized to work in the U.S. on a full-time basis. The Company will not sponsor applicants for work visas.
Notice on fraudulent job offers: Only positions posted on https://npowercareers.multiscreensite.com/ site are legitimate. Please be mindful of recruitment fraud and job scams.","hiringOrganization":{"@type":"Organization","name":"N-Power Medicine","sameAs":"https://www.npowermedicine.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":31,"item":{"@type":"JobPosting","title":"Senior Network Security Data Scientist (Corelight Labs)","datePosted":"2025-09-19","description":"\n

Towards the end of our interview process is an in-person interview.

Do you want to help make the world safe from cyber attack?

At Corelight, we believe that the best approach to cybersecurity risk starts with the network. Attackers can evade endpoint detection, firewalls and many other technologies -but they can’t avoid leaving digital footprints on the networks they traverse. Built on open-source innovations from Zeek, Suricata and YARA and refined through years of real-world use, Corelight transforms network footprints from physical, virtual and cloud networks into actionable insights. Our customers use these insights to speed incident response and proactively hunt for threats.

Job Summary:
We are building a world class and uniquely targeted team to drive research through data science and security expertise. The ideal candidate will use their strong analytic skills and awareness of network and cloud security data to drive novel, durable, and effective threat detection. Corelight can define the data our sensors generate, you will have the opportunity to contribute to how we extend the data itself to enable new types of analysis as needed. You will be able to look back a year from now and say two things with pride: first, “I helped to build that.” and second, “We are generating insights that no one else in the world has achieved.” As a Network Security Data Scientist within Corelight Labs, you will work closely with network security experts and machine learning engineers to develop visibility and detection models and LLM applications for network security. You will play a crucial role in leveraging data generated from tools like Zeek, Suricata, and Yara to drive our AI/ML product offerings forward.

Key Responsibilities:

Contribute to the full range of stages of AI/ML projects, from explorations to productization.
Identify apt opportunities to apply supervised and unsupervised techniques to robustly detect a wealth of behaviors, in the face of a range of real-world constraints
Build agentic applications and customize LLMs with RAG or fine-tuning and to tackle advanced network security use cases.
Leverage network traffic logs to create models for behavioral detection of TTPs with low FP rates.
Evaluate and refine algorithms against data-at-scale gathered from operational environments.
Work with ML engineers and network security experts to implement scalable AI/ML pipelines.
Work in an Agile development team focused on exploring and delivering AI/ML use cases.
Participate in technical discussions within the Labs team and collaborate with other teams across the organization.
Author key materials to (a) share network security insights with the community, and (b) guide analysts in employing the models you develop and lead.

Minimum Qualifications:

Degree in Computer Science or related fields, or equivalent experience.
7+ years of experience in data science or LLM applications with a focus on cybersecurity.
Strong data science skills, including a proven track record applying the techniques to real-world problems.
Understanding of practical networking, security, and their intersection along with an enthusiasm to keep learning about these domains from highly experienced experts.
Experience in Python and data science libraries and tools (Scikit-Learn, Keras, PyTorch, Tensorflow, Pandas, Polars, Spark, DuckDB).
Experience in LLM frameworks such as langchain, langgraph, llamaindex, chroma or similar.
Experience using LLMs to tackle cybersecurity use cases.
Excellent communication skills to work effectively in a team.
Strong appreciation for our core values: low ego results, tireless service, and applied curiosity.

Preferred Qualifications:

Knowledge of information security processes; especially threat detection and incident response, and of the cybersecurity product landscape.
Experience with local deployments and fine-tuning of Small Language Models (SLMs).
Experience in designing and implementing data pipelines using DuckDB.
Experience with cloud computing, especially Databricks and AWS Services (EC2, S3, Cloudwatch)
Experience using Docker and/or Kubernetes, and containerized applications.
Experience using feature stores and ML frameworks like Kubeflow, Cortex, Seldon, or BentoML.
Experience with experiment tracking and reproducibility tools.
Experience adopting an Agile development methodology and working in a distributed team.

Fueled by investments from top-tier venture capital organizations such as Crowdstrike, Accel and Insight, Corelight is the fastest growing network detection and response platform in the industry. Our customers trust us to protect mission-critical assets in leading enterprises, government, and research institutions worldwide. We are leading the way with AI-assisted workflows, machine learning models, cloud security and SaaS-based solutions to arm defenders with the tools and knowledge they need to disrupt cyber attacks. Our team of passionate innovators are dedicated to solving some of the toughest challenges in cybersecurity, while fostering a collaborative, inclusive, and growth-oriented culture.

Corelight is committed to a geographically distributed yet connected employee base with employees working from home and office locations around the world. At Corelight, we take pride in the diversity of our backgrounds and perspectives, and we are committed to fostering an inclusive environment that strengthens our company.

We are looking forward to meeting you. Check us out at www.corelight.com

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Notice of Pay Transparency:
The compensation for this position may vary depending on factors such as your location, skills and experience. Depending on the nature and seniority of the role, a percentage of compensation may come in the form of a commission-based or discretionary bonus. Equity and additional benefits will also be awarded.

Compensation Range$177,000—$210,000 USD","hiringOrganization":{"@type":"Organization","name":"Corelight","sameAs":"https://corelight.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"North America"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Sr. Data Scientist, Algorithms","datePosted":"2025-09-19","description":"

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

Job Duties: Apply advanced statistical techniques and machine learning algorithms to identify key drivers of user and revenue growth across different marketing channels. Develop new statistical models as well as maintain/improve existing models like user lifetime value models. Build predictive models to forecast the impact of marketing tactics on business outcomes and recommend optimal marketing budgets and strategies. Conduct thorough model validation and performance testing to ensure accuracy and reliability of the developed models. Present findings and insights to stakeholders in a clear and concise manner, and provide actionable recommendations for improving marketing effectiveness and ROI. Evolve our experimentation capabilities and tools to evaluate the business impact of marketing investments. Develop end-to-end marketing mix models to evaluate the effectiveness of various marketing channels and campaigns. Advise on experimentation best practices; identifying flaws in experiment practices and results; building tools for experiment analysis; etc. Identify the right measures of success for teams and help them track those metrics. Own the full lifecycle of those metrics from logging requirements, metrics definition, prototype pipelines, and improvements. Write clear, actionable analyses that help teams uncover opportunities and identify areas of improvement to our existing strategies. Telecommuting is permitted.

Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or closely related quantitative discipline and two (2) years of experience in the job offered or in any occupation in related field, OR Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field) or closely related quantitative discipline and five (5) years of progressively responsible experience in the job offered or in any occupation in related field.

Special Skill Requirements: (1) Python; (2) SQL; (3) Spark; (4) Scikit-Learn; (5) Causal inference; (6) Natural Language Processing; (7) TensorFlow; (8) PyTorch; (9) A/B Test; and (10) Data visualization. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is permitted.

Salary: $232,470.00 - $284,900.00 per annum
Reference #: L24-155810
This position is not available for relocation assistance.

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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$232,470—$284,900 USD

Our Commitment To Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Know Your Rights and Pinterest Policy for more information regarding U.S. roles. If you require a medical or religious accommodation during the job application process, please complete this form for support.

","hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://www.pinterest.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY, US; Remote, NY, US","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Field Technical Support Scientist II","datePosted":"2025-09-19","description":"

Field Technical Support Scientist Ii

Location: Pleasanton, Casalary: $100,000 - $102,500 Per Year

* Based on your location, you may be eligible for a Cost of Living Adjustment (COLA) of up to $21,242 as part of your total compensation package.

Who Are We?

Established in 1975, Shimadzu Scientific Instruments is one of the largest suppliers of analytical instrumentation, physical testing, and environmental monitoring systems in the world. Ground-breaking scientific research, manufacturing ideas, and results continue to propel Shimadzu’s outstanding reputation and “Excellence in Science.” People dedicated to our mission have the largest impact on Shimadzu’s continued growth and success. Would YOU like to join a diverse team of professionals working together with researchers, scientists, and manufacturers to help better lives worldwide?

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What can Shimadzu offer YOU?

Our Culture: A work environment that values diversity, inclusion & belonging
Competitive Compensation: Day 1 Benefits & Competitive Salary
Retirement Benefits: Matching 401K & Profit-Sharing Program
Professional Growth: Clear pathways for Career, Leadership, and Personal Development
Health Benefits: Flexible Spending/Health Savings Accounts
Work-Life Balance: Generous & Front-Loaded Paid Time Off Plan
Education: Tuition Assistance Program for both graduate and undergraduate levels
Insurance Perks: Pet Insurance, optional Identity theft, legal pre-paid, and critical care buy-up insurance benefits, generous company-paid life insurance & short-term disability programs
Work Flexibility: Business casual Dress Attire & casual (jeans) Friday!
Employee Engagement: Employee Resource Groups to network, build a sense of community and enhance one’s career and personal development

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Additional Compensation:

For Service, Technical Support, Marketing & Sales Roles: Additional compensation is available through either an Incentive and/or Commission Plan.
For Employees residing in Connecticut, Massachusetts, New Jersey, and California: Additional compensation is offered through a Cost-of-Living Adjustment (COLA).

\n\n

Position Summary:

Shimadzu Scientific Instruments is seeking a Technical Support Scientist II to join our team and play a vital role in providing expert technical support for our analytical instrumentation. In this position, you’ll focus on delivering technical expertise to enhance the sales efforts in the region. Your responsibilities will include assisting with demonstrations, conducting installations, and training customers on product usage.

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JOB FUNCTIONS INCLUDE, BUT ARE NOT LIMITED TO:

Provide technical support during demonstrations and sales calls.
Perform installations as needed and manage the regional demonstration equipment.
Provide training to customers and regional personnel on instrument usage.
Develop application notes and run customer samples to showcase capabilities.
Work closely with customers to adapt their methodologies for our products.

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Education And Qualifications:

Bachelor’s or Master’s degree in Chemistry or a related science field; Ph.D. preferred.
Minimum of four years of hand-on laboratory experience with GC and GCMS instrumentation and applications.
Prior experience with HPLC also highly valued.
Strong communication skills with proven experience delivering technical training sessions and professional seminars.
Willingness to travel, with a valid driver’s license.

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At Shimadzu Scientific Instruments, we believe in providing structured career paths that recognize and reward talent. If your expertise surpasses the level specified in the listed position, we offer the flexibility to upgrade positions to better suit your qualifications, accompanied by a salary adjustment.

\n\n

Compensation And Benefits:

This exempt, full-time position comes with a competitive salary range of $100,000 to $102,500 annually, paid semi-monthly. Eligible benefits include a 401K matching program and discretionary yearly contributions, with detailed information provided at the final interview stage.

In your first year, you will receive 10 paid vacation days, 8 paid personal days (or state sick leave in California/Puerto Rico), 8 scheduled holidays, and 3 floating holidays. After one year, you'll have access to a generous short-term disability program, with premiums fully covered by the company. Employees are insured at 100% of their salary for the first 6 weeks and 66 2/3% for weeks 7 to 12.

Additional variable compensation includes an 8% incentive plan based on performance goals, paid semi-annually in April and October, along with a potential discretionary year-end bonus. The offer also includes a company car (with a $55 deduction for personal use) and a company phone, fully funded by the employer, which remains company property but can be used for personal calls.

For more details on benefits, please visit www.ssi.shimadzu.com/jobs.

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Shimadzu is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at Shimadzu via email, the Internet or in any form and/or method without a valid written search agreement in place for this position (and agency was requested to work the requisition) will be deemed the sole property of Shimadzu. No fee will be paid in the event the candidate is hired by Shimadzu as a result of the referral or through other means.

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Eeo Statement:

Shimadzu Scientific Instruments (SSI) is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, please click here.

\n","hiringOrganization":{"@type":"Organization","name":"Shimadzu Scientific Instruments","sameAs":"https://www.ssi.shimadzu.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pleasanton, California, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":34,"item":{"@type":"JobPosting","title":"Senior Scientist, Data II","datePosted":"2025-09-19","description":"

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

Conceive, design and implement new business technology solutions that solve significant scientific or business problems through the integration, visualization, and analysis of large and complex data. Generate new proposals and lead those efforts. Investigate, identify, develop, and optimize new methods, algorithms, and technologies to derive novel, competitive insights from disparate data sources or drive productivity and efficiency gains throughout multiple business areas. Act as a lead data scientist in his/her area of expertise and critically evaluate relevant scientific and technological advances and integrate this knowledge into new business technology solutions.

Responsibilities

Conceive, design and implement new business technology solutions that solve significant scientific or business problems through the integration, visualization, and analysis of large and complex data.
Demonstrate the ability to resolve key project hurdles and assumptions by effectively utilizing available information and technical expertise.
Demonstrate high proficiency across a wide range of technologies related to the storage, transfer, integration, visualization, and analysis of large and complex data sets. Broad expertise in software development, data warehousing, statistics, and machine learning.
Demonstrate deep knowledge of the pharmaceutical and healthcare business, and utilize this knowledge in the rapid advancement of agile, impactful, and cost-effective solutions
Highly autonomous and productive in performing activities, requiring only minimal direction from or interaction with supervisor.
Seize opportunities to pursue relevant leads that are in line with the group’s strategy.
Proactively seek out new information and technologies in the literature/public domain and incorporate into individual project(s) as well as the overall program
May mentor/supervise a team of one or more and guide and evaluate the performance of those individuals; is accountable for the effective performance of the team/individuals.
A primary author of publications and presentations.
Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, and data security.

Qualifications

Bachelor’s Degree with 7 years’ experience; Master’s Degree with 6 years’ experience’ PhD with 2 years’ experience. Background in life sciences or work experience in the pharmaceutical industry preferred.
Possess thorough theoretical and practical understanding of own discipline.
Proven implementation of creative technology solutions that advanced the business.
Excellent written and oral English communication skills.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our short-term incentive programs.
This job is eligible to participate in our long-term incentive programs

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html

","hiringOrganization":{"@type":"Organization","name":"AbbVie","sameAs":"https://www.abbvie.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"North Chicago, IL, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"Senior Scientist I, Biologics Analytical R&D","datePosted":"2025-09-19","description":"

Company Description

Job Description

Overview

The Biologics Analytical R&D (ARD) group at AbbVie plays a critical role in advancing our pipeline of next-generation biologic medicines. We develop and optimize analytical methods, provide data that drives product and process understanding, and enable the release and stability testing needed to bring innovative therapies to patients.

We are seeking a highly motivated, hands-on scientist to support early-phase programs (Discovery through Phase I) with a focus on antibody–drug conjugates (ADCs) and potential emerging modalities (e.g., LNPs, siRNA). This role is ideally suited for someone who thrives in a fast-paced, collaborative environment and wants broad exposure across techniques, modalities, and development stages.

Key Responsibilities

Method Development & Validation: Independently design, develop, and qualify robust analytical methods (e.g., HPLC, iCIEF, CE) to support drug substance and drug product characterization, reference material qualification, and early-phase validation.
Testing & Data Generation: Execute GMP and non-GMP testing for release and stability; deliver comprehensive data packages that inform formulation, process development, and regulatory strategy.
Cross-Functional Collaboration: Partner closely with Drug Substance (DS), Drug Product (DP), Regulatory Affairs, QA, and PDS&T to align analytical strategy with program needs.
Scientific Leadership: Anticipate challenges, critically evaluate new technologies, and champion innovative solutions that accelerate program progress.
Knowledge Sharing: Author technical reports, regulatory documents, and publications; contribute to building reference standards, product control strategies, and IND/CTA submissions.
Mentorship & Growth: Contribute to a collaborative lab environment, with opportunities to mentor junior scientists and expand expertise across multiple analytical platforms.

Qualifications

Degree in Analytical Development, Chemistry, Biochemistry, Biology, or related discipline: BS with 10+ years industry experience, MS with 8+ years industry experience, or PhD with limited to 0 years’ industry experience (new graduates considered) with relevant laboratory experience.
Strong background in protein/biologics analytical characterization, particularly HPLC and capillary electrophoresis methods.
Experience in method development and validation; familiarity with GMP expectations for early-phase programs.
Demonstrated ability to work independently, manage multiple projects, and drive deliverables to completion in a fast-paced environment.
Strong interpersonal and communication skills with a track record of cross-functional collaboration.
Supervisory or mentoring experience preferred but not required.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

This is an on-site. lab-based opportunity.
The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our short-term incentive programs.
This job is eligible to participate in our long-term incentive programs

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html

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Company Description

Work with Us. Change the World.

At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the worldâs most complex challenges and build legacies for future generations.

There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.

We're one global team driven by our common purpose to deliver a better world. Join us.

Job Description

The Environmental Business Line of AECOM is seeking an Environmental Scientist for immediate employment with the EHS Department in the Conshohocken, Pennsylvania or Pittsburgh, Pennsylvania office.

The main responsibility of the successful candidate will be to perform Phase I and Phase II Environmental Assessment per ASTM and AAI standards to private and public sector clients. Perform implementation activities for Phase II ESA’s including environmental field sampling (soil and groundwater), interpret laboratory results and prepare Phase II ESA reports for commercial, industrial and public sector clients.

The position will require that the candidate be available to perform work in both the field and office, and be able to travel out-of-town for durations ranging from one day to one week, as needed.

Qualifications

Minimum Qualifications:

BA/BS in Environmental Science, Engineering, or a relevant environmental discipline + 2 years of experience or demonstrated equivalency of experience and/or education.
Valid Driver’s License and as a condition of employment must be able to pass AECOM’s Motor Vehicle Records review.
Due to the nature of work US Citizenship is required.

Preferred Qualifications:

2+ years of professional experience in environmental due diligence assessments related to private (commercial, industrial, power, oil/gas, rail, and manufacturing) and public sector clients.
Experience in environmental sampling and waste management is a plus.
Familiar with Applicable ASTM and AAI standards and environmental sampling.
A general understanding of USEPA and PA environmental regulations is desired.
OSHA 40 hour HAZWOPER training is desired.
Tolerance for working in outdoor environments, including prolonged walking or standing on various terrain in a range of weather conditions. Ability to bend, stoop, and lift objects up to 50 pounds.
Requires entrance into the AECOM Medical Monitoring Program which includes initial and annual physicals and may include client required drug screens.
Highly effective verbal and written communication skills; extremely proficient in technical writing; highly effective organization and multi-tasking skills.
Strong attention to detail with excellent analytical, judgment and problem-solving capabilities.

Additional Information

Travel Is Required
Sponsorship is not available for this position
Relocation is not available for this position

About Aecom

AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.

AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2024. Learn more at aecom.com.

What makes AECOM a great place to work

You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community—where you have the freedom to grow in a world of opportunity.

As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.

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Company Description

The Eurofins network of companies is the global leader in food, environment, pharmaceutical and cosmetic product testing and in agroscience Contract Research Organisation services. It is one of the market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, advanced material sciences and in the support of clinical studies, as well as having an emerging global presence in Contract Development and Manufacturing Organisations. It also has a rapidly developing presence in highly specialised and molecular clinical diagnostic testing and in-vitro diagnostic products.

In over 30 years, Eurofins has grown from one laboratory in Nantes, France to 58,000 staff across a decentralised and entrepreneurial network of 900 laboratories in over 54 countries. Eurofins companies offer a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products.

In 2021, Eurofins generated total revenues of EUR 6.72 billion, and has been among the best performing stocks in Europe over the past 20 years.

Job Description

This role is on-site in Sanford, NC

Experience performing and reviewing data for Capillary Electrophoresis (CE) and/or Imaged Capillary Isoelectric Focusing (icIEF) experience is required.

Support client's Analytical Technology group by conducting wet-chemistry and instrumental analytical chemistry analysis on in-process, final batch concentrate (FBC), monovalent bulk concentrate (MBC) sample types.
Preparing analytical standards and reagents
Operating and maintaining laboratory equipment and instruments
Calculating results using Excel spreadsheets and/or instrumental software
Documenting results in electronic laboratory notebooks and reviewing notebooks of peers
Supporting senior analytical chemists on various projects as assigned
Utilizing technical knowledge to identify, troubleshoot, and assist with resolution of process problems
Document experiment execution using an electronic lab notebook, batch record, and/or protocols
Prioritize and organize work to meet project deadlines and support team goals
Communicate effectively with co-workers and client staff members
Due to close work with specific bacterial strains, the following vaccinations will be offered by the company:
Blood Borne Pathogens (Hep B)
(Pneumovax 23)
(Menactra)
(Tdap)

Qualifications

BS in Chemistry or Biochemistry with a minimum of 2 years of experience working in a laboratory environment
Experience working with proteins or carbohydrates
Direct experience performing and reviewing data for Capillary Electrophoresis (CE) and/or Imaged Capillary Isoelectric Focusing (icIEF) experience is required
Excellent oral and written communication skills as well as strong computer skills
Incumbent must be organized, self-motivated, and capable of working independently or in a collaborative environment.
Authorization to work in the United States indefinitely without restriction or sponsorship

Additional Information

Position is full-time, onsite Monday- Friday 8:00 am-5:00 pm, position is located in Sanford, North Carolina. May be requested to work on weekends, overtime, and holidays based on business needs.

Candidates currently living within a commutable distance of Sanford, NC are encouraged to apply.

Excellent full time benefits including comprehensive medical coverage, dental, and vision options
Life and disability insurance
401(k) with company match
Paid vacation and holidays

Eurofins USA PSS Insourcing Solutions is a Disabled and Veteran Equal Employment Opportunity employer.

","hiringOrganization":{"@type":"Organization","name":"Eurofins","sameAs":"https://www.eurofins.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sanford, NC, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":38,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-19","description":"

Haystack News, the number one destination for news on streaming platforms, is looking for a Sr Data Scientist to join our team. Haystack is trusted by over 30 million viewers and is among the fastest-growing TV news companies in the world.

Join our team at Haystack News as a Senior Data Scientist and become a pivotal force in redefining user experiences through cutting-edge algorithm enhancements. In this role, you'll leverage your advanced statistical analysis, causal inference, experimental design (A/B testing) and data analytics expertise to drive substantial improvements in user engagement and retention, directly impacting our product's success. This is an exceptional opportunity to showcase your robust problem-solving capabilities and to thrive in a collaborative environment, working alongside a team of passionate professionals dedicated to innovation and excellence. Be part of a dynamic workplace where your contributions make a meaningful difference and help shape the future of news consumption.

Minimum Qualifications

PhD degree; or M.S. +5 years in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or Operations Research.
3+ years professional experience applying statistical methods to real product/business problems at scale (leading analysis end-to-end and influencing decisions).
Deep expertise in statistical inference and experimental design: hypothesis testing, power/sample size calculations, variance reduction, etc.
Proficiency in causal inference methods.
Proven ability to translate offline analysis into online impact.
Fluency in the Python analytics stack (pandas, NumPy), statistical modeling (statsmodels or scikit-learn) and machine learning packages such as LightGBM and XGBoost.
Strong experience with SQL (e.g. postgres, snowflake, etc).

Preferred Qualifications:

2+ years of professional experience with large-scale recommender systems (for news feeds, shopping, ads, music, etc).
Hands-on experience with orchestration/transformation tools (e.g. dbt and Airflow).
Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow.
Hands-on development of products/tools incorporating GenAI, LLMs, RAG, and/or Agents.

Responsibilities

Work cross-functionally to translate business problems into testable analyses and experiments.
Have curiosity and apply analytical skills to dive deep into data to find key insights that would impact the business.
Define and evolve trustworthy KPIs and guardrail metrics for user engagement, retention, and monetization.
Develop and deploy machine learning models to make recommendations and influence the product roadmap.
Define and build new ML features using text and multimodal embeddings and GenAI.
Validate offline learnings with online outcomes through AB testing. Design, execute, and analyze experiments to prove product change attribution.

","hiringOrganization":{"@type":"Organization","name":"Haystack News","sameAs":"https://haystack.tv/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Fort Lauderdale Office","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Data Scientist II","datePosted":"2025-09-19","description":"Data Scientist II - Windows Data Team

As a Data Scientist on the Windows Data Team, you will play a pivotal role in driving AI-powered innovation across the software development lifecycle. You will collaborate with cross-functional teams - including product management, engineering, design, and user research- to embed data-driven thinking into every stage of product development.

Your responsibilities include designing and executing growth experiments, analyzing business metrics, building scalable data pipelines, and delivering actionable insights that influence product direction. You will identify instrumentation needs, define and set up metrics and OKRs, and evaluate the return on investment for new ideas. You will also build predictive models to understand customer behavior, drive personalized features, and support targeted outreach efforts.

You will be expected to develop operational models at scale, conduct reviews of data analysis and modeling techniques, and invent new evaluation methods. Your work will contribute to thought leadership and best practices across the organization. Effective communication and collaboration skills are essential, as you will work in complex, ambiguous environments and apply strategic influence to deliver measurable results.

Responsibilities

Partner cross-functionally with product, engineering, design, and research teams to embed data-driven thinking throughout the product lifecycle.
Experience in building data pipelines
Deliver actionable insights and predictive models that shape product direction and customer engagement.
Define instrumentation requirements, establish metrics and OKRs, and drive personalized features.
Review and innovate on data analysis, modeling techniques, and evaluation methods.
Champion thought leadership, strategic influence, and effective communication in complex, ambiguous environments.
Design and execute growth experiments, analyze business metrics, and evaluate ROI to guide strategic decisions.

Qualifications

Required Qualifications:

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.

Other Requirements:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
Extensive experience in exploratory data analysis, statistical inference, predictive modeling (e.g., regression, classification), and time-series forecasting to uncover trends and drive decision-making.
Designed and analyzed experiments to validate hypotheses, optimize product features, and measure impact across diverse business scenarios.
Built and maintained scalable data pipelines to support machine learning workflows, enabling efficient data ingestion, transformation, and model deployment.
Demonstrated leadership in complex problem spaces through strategic thinking, technical depth in ML and data engineering, and a relentless drive for innovation and progress.
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.

Data Science IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

• Microsoft will accept applications for the role until September 29, 2025.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#W+D

","hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://www.microsoft.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond, Washington, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":40,"item":{"@type":"JobPosting","title":"Scientist l","datePosted":"2025-09-19","description":"

Company Description

Job Description

The selected candidate will be involved in wet-lab experimentation and modeling for process development, process characterization, tech transfer and scale-up. The candidate will have a major role in aspects of cell culture media development and process optimization. We are seeking an enthusiastic, creative scientist that can work independently and as part of a dynamic team environment.

Key Responsibilities:

Participate in the development and application of model driven design of experiments applied for process development and characterization.
Participate in conceiving and executing wet-lab experiments to identify biomarkers and enable the use of toolboxes.
Serve as a subject matter expert in projects requiring metabolic flux analysis and multi-omics.
Develop and characterize highly-productive CHO cell culture processes suitable for cGMP biotherapeutic manufacturing within project timelines, performing technical transfer and manufacturing support activities.
Conceive and execute scientific research and development to significantly improve platform processes and workflows, develop new methods, build technical expertise and intellectual property, and deepen scientific understanding.
Work collaboratively and cross-functionally with colleagues in other functional areas (Analytical Development, Cell Line Development, Discovery, Manufacturing and Quality).
Proactively seek out new information and opportunities to advance our technologies and pipeline. Critically evaluate relevant scientific, regulatory and business advances and integrate this knowledge.
Effectively communicate scientific data and concepts to internal and external audiences through reports, presentations and manuscripts. Author and review technical reports, protocols, and other key documents.
Understand and adhere to corporate standards regarding code of conduct, safety, documentation and GMP compliance.

Qualifications

M.S. in biochemical/chemical engineering or life sciences related disciplines with 2+ years of industrial experience; or B.S. in biochemical/chemical engineering or life sciences related disciplines with 5+ years of industrial experience.
Excellent interpersonal and communication skills. Strong scientific curiosity with a passion for problem-solving and optimization. Self-motivated with excellent attention to detail and ability to multi-task. Strong organizational, planning and trouble-shooting skills.
Understanding of cell culture processes (e.g., cell and molecular biology, process development, process scale up and scale down, recombinant protein production, protein characterization).
Proven experience working aseptically in cell culture processes.
Experience in statistical data analysis tools such as design of experiment, regression, multivariate data analysis and linear/non-linear mixed effects modeling.
Experience or strong interest organizing and analyzing larger datasets.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time ofthis posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location,and we may ultimately pay more or less than the posted range. This range may be modified in the future.
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our short-term incentive programs.
This job is eligible to participate in our long-term incentive programs

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of anybonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's soleand absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html

","hiringOrganization":{"@type":"Organization","name":"AbbVie","sameAs":"https://www.abbvie.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Worcester, MA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":41,"item":{"@type":"JobPosting","title":"Principal Research Scientist I Eng - Design Verification Engineer","datePosted":"2025-09-19","description":"

Company Description

Job Description

The AbbVie Device & Combination Product Development (DCPD) team provides expertise to enable the development of drug delivery systems for use with AbbVie therapeutic products as well as bespoke medical device development to support AbbVie’s eye care and aesthetics portfolios. In this role, you will be leading programs in development of robust drug delivery systems at the intersection of engineering and biopharmaceutics, as well as improving capabilities within our state-of-the-art laboratories. You will be working with a global team of exceptional scientists, engineers, and leaders on a variety of drug delivery systems from autoinjectors to advanced electromechanical infusion pump systems. Your expertise and leadership will ensure these systems are safe and effective in meeting their intended use. You will independently conceive, execute, and communicate novel multi-disciplinary development strategies that achieve project and area goals.

We are looking for an individual with a comprehensive knowledge of development of medical devices and drug delivery systems to support AbbVie’s therapeutic pipeline.

Responsibilities:

Define verification strategy and lead planning and execution of the activities to meet program objectives. Create verification plans, protocols, records, and reports. Determine sample size strategy based on strong scientific rationale conforming to internal and regulatory guidelines.
Lead verification activities within cross-functional teams.
Lead execution of test procedures and writing of protocols supporting engineering testing and verification testing, analyze data, document in lab notebooks, and present results to cross-functional teams. Experience using Zwick and flow measurement equipment is preferred. Familiarity with 3D printing, CT Scanners, Viscometers, Climate Chambers, etc. is a plus.
Lead root cause investigations and issue resolutions.
Define, develop, and validate test methods.
Implement new testing approaches for state-of-the-art testing & verification.
Drive global harmonization of development & verification processes.

Qualifications

BS or equivalent education and extensive, typically 14+ years of experience; MS or equivalent education with typically 12+ years of experience; PhD with typically 6+ years of experience required. (A degree in an engineering field, preferred: mechanical, materials, packaging, bioengineering).
Strong expertise in Design Verification for Medical Devices and experience working in a regulated environment in compliance to 21 CFR 820 and MDR.
Significant background in engineering testing and analysis including:
Direct experience of test equipment validation (IQ, OQ, PQ) is required.
Expertise in statistical analysis.
Significant documentation experience including standard operating procedures (SOPs), technical reports, and design verification plans/protocols/reports. Expertise with Electronic Lab Notebooks (ELN) and Design History File tools such as Polarion/LinkUs
Proficiency in MS Office, SolidWorks, MATLAB, LabView, Minitab.
Lean Six Sigma, 5S experience desired.
Good communication skills, both written and oral. Ability to prepare technical reports and presentations. Demonstrated scientific communication and presentation skills, including the ability to present to senior management.
Willingness and ability to travel both domestic and internationally, up to 10% of the time

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our short-term incentive programs.
This job is eligible to participate in our long-term incentive programs

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html

","hiringOrganization":{"@type":"Organization","name":"AbbVie","sameAs":"https://www.abbvie.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"North Chicago, IL, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Automation Software Scientist","datePosted":"2025-09-19","description":"

Manifold Bio is a dynamic biotech company building a pipeline of targeted biologics using a novel in vivo-centric discovery approach. Our drug discovery engine is differentiated by massively parallel screening in vivo from the beginning of our discovery process. This unique platform is powered by a proprietary protein barcoding technology that allows multiplexed protein quantitation at unprecedented scale and sensitivity. We combine this and other high-throughput protein engineering approaches with computational design to create antibody-like drugs and other biologics. Our world-class team of protein engineers, biologists, and computational scientists are working together to aim the platform at therapeutic opportunities where precise targeting is the key to overcoming clinical challenges.

Manifold Bio is a biotech company pursuing a pipeline of protein therapeutics using novel molecular measurement technologies and library-guided protein engineering. Our drug discovery engine is differentiated by massively parallel screening in vivo from the beginning of our discovery process. This unique platform is powered by a proprietary protein barcoding technology that allows multiplexed protein quantitation at unprecedented scale and sensitivity. We combine this and other high-throughput protein engineering approaches with computational design to create antibody-like drugs and other biologics. Our world-class team of protein engineers, biologists, and computational scientists are working together to aim the platform at therapeutic opportunities where precise targeting is the key to overcoming clinical challenges.

\n\n

Position

Manifold Bio is seeking an exceptional Automation Software Scientist to join our team. This role will lead the development of the software infrastructure supporting complex automation workflows from DNA design, protein expression, protein engineering assays and more. This role will work closely with researchers across the entire Shuttle Discovery group to enable complex operations with software. In particular, core Manifold proprietary assays will be supported directly by this work including mCodes protein barcoding and phi-seq phage-based antibody library affinity characterization. This role will work closely with the Head of Automation, Platform Leads, and the CTO to identify opportunities to expand and integrate operations within a global Discovery Automation Workflows framework. Competitive candidates for this role will have expertise in the life sciences and experience with Benchling. The ideal candidate will have experience implementing automation workflows from previous roles.

\n\n

Responsibilities

Work closely with Manifold’s Shuttle Discovery team to identify and deploy automated workflow solutions particularly focused around assay worklists and metadata integration
Create tools and frameworks for standard operations leveraging automated tools
Create interfaces for researchers to execute workflows
Present and report on latest infrastructure and workflow updates to the team
Own interfaces and integrations with partner services, including Benchling

\n\n

Qualifications

5+ years of relevant programming experience (including Python)
Demonstrated and proven experience modeling and building data solutions (e.g. Postgresql)
Experience developing, orchestrating and supporting workflow pipelines
Cloud computing experience with Amazon Web Services (AWS)
Experience across multiple operating systems: Unix/Linux, Mac, and [tolerance of] Windows
Detail-oriented with excellent problem identification and problem-solving skills
Demonstrated ability to work both independently and as part of a team
A deep passion for automation workflows to support wet lab research
PREFERRED: master’s or PhD degree, project management experience, relevant certs in data science or project management
PREFERRED: direct experience working with automation systems such as liquid pipetting robots

\n\n

If you’re excited to build a platform that combines these technologies to revolutionize how protein therapeutic discovery happens, please reach out to careers@manifold.bio.

We value different experiences and ways of thinking and believe the most talented teams are built by bringing together people of diverse cultures, genders, and backgrounds.

","hiringOrganization":{"@type":"Organization","name":"Manifold Bio","sameAs":"https://www.manifold.bio/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Boston","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Scientist - High Containment Laboratory","datePosted":"2025-09-19","description":"

Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).

\n\n

Axle is seeking a meticulous and innovative Scientist to join our team. The successful candidate will manage complex imaging equipment within high-containment laboratories and play a crucial role in planning and executing advanced animal imaging studies.

\n\n\n

Benefits We Offer:

100% Medical, Dental & Vision Coverage for Employees
Paid Time Off and Paid Holidays
401K match up to 5%
Educational Benefits for Career Growth
Employee Referral Bonus
Flexible Spending Accounts:\n\n
Healthcare (FSA)
Parking Reimbursement Account (PRK)
Dependent Care Assistant Program (DCAP)
Transportation Reimbursement Account (TRN)

\n\n\n

Responsibilities

Manage specialized imaging equipment within high-containment laboratory environments.
Plan and execute advanced animal imaging studies.
Design, execute, and analyze laboratory experiments with BSL-4 pathogens in accordance with project goals and safety standards.
Deliver accurate interpretation and analysis of various imaging data types.
Advise on imaging technologies, equipment installation, maintenance, and upgrades.
Recommend appropriate imaging modalities for biological endpoints in studies with novel or highly pathogenic agents.
Collaborate on the design and execution of complex imaging studies.
Work with internal teams and external partners to ensure effective study design and data translation.
Support the introduction and review of new collaborative studies.
Assist in manuscript preparation for peer-reviewed publications in high-impact journals.
Prepare technical reports, recommendations, and plans related to imaging equipment and study designs.
Communicate research findings effectively through reports, presentations, and discussions.

\n\n

Qualifications

PhD preferred, B.S. or M.S. in biomedical engineering, imaging sciences, or related discipline is required.
Minimum of 3-5 years of direct hands on experience in a BSL-4 laboratory is required.
Ability to work with select agents under established biosafety and security protocols.
Demonstrated ability to work independently and as part of a multidisciplinary team.
Strong analytical and problem solving skills with a results-driven mindset.
Commitment to safety, integrity, and excellent in research.

\n\n\n

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.

\nSalary Range$120,000—$140,000 USD","hiringOrganization":{"@type":"Organization","name":"Axle","sameAs":"https://axleinfo.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Rockville, MD","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Associate Scientist Biology","datePosted":"2025-09-19","description":"

How will your role help us transform hope into reality?

Research, identify, and validate novel oncology targets and small molecule drug discovery, utilizing knowledge of bioengineering to develop and conduct cellular assays to support Blueprint Medicine’s novel drug discovery efforts.

\n\n

What will you do?

Manages and QC routines assays performed at CRO and upload data to our server. (15%)
Optimize and employ cellular and molecular assays such as Western blotting, Elisa and immunofluorescence-based assays to elucidate mechanistic biology of potential drug targets and mechanism of action of small molecules. (20%)
Present research findings at team meetings. (5%)
Maintain our automation platform and is the point of contact with the vendor when needed (such as major issues to be fixed or implementation of new updates). (15%)
Design and development of automation methods for biological assays for several projects. Teach colleagues how to use those methods and troubleshoot when necessary. (15%)
Cell culture Maintenance. (10%)
Run routine assays when needed. (10%)
Maintain detailed and critical experimental data records that are published in ELN according to industry compliance. (10%)

\n\n

What minimum qualifications do we require?

Master’s degree in Bioengineering, Biomedical Engineering, or a closely related biological or life sciences field (or foreign equivalent degree), plus 1 year of experience in biological research for oncology drug development.

Experience, which may be gained concurrently, must include:

1 year of experience in maintaining, expanding, and freezing cell lines.
1 year of experience with running routine assays such as Alphalisa pERK and proliferation assays.
1 year of experience in using and programming liquid handlers such as Bravo, Biomek, Integra Assist Plus and D300.
1 year of experience in analyzing cell research data and presenting it to the team.
1 year of experience in analyzing and presenting scientific research papers.
1 year of experience in maintaining detailed ELN to ensure data reproducibility.

* This position is part of Blueprint Medicines’ employee referral program and is eligible for an employee referral incentive bonus.

\n\n

Why Blueprint?

At Blueprint Medicines, we achieve impactful results because of our global crew of compassionate innovators – the Blue Crew. Through authentic relationships and our collective entrepreneurial spirit and action, we are each empowered to take ownership and execute with strategic prioritization. We put trust in our people to break through norms and conventions using their individual strengths and insights, which drives our success.

This is the place where the extraordinary becomes reality, and you could be part of it.

Patients are waiting. Are you ready to make the leap?

\n\n

Equal Employment Opportunity

At Blueprint Medicines, we foster an environment of fair treatment and full participation for all of our employees as we navigate complex challenges in pursuing our mission to improve the lives of patients. We celebrate our unique differences and varied career and life experiences so that we can sustain our diverse culture and ensure everyone feels accepted. We are committed to non-discrimination, equal employment opportunity, as well as an inclusive recruitment process. We consider all qualified applicants based on merit and without regard to race, color, sex, gender identity, sexual orientation, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, or any other characteristic protected under applicable federal or state law.    

We will make reasonable accommodations, absent undue hardship, for qualified individuals with known disabilities. If you are an individual with a disability in need of an accommodation with the application or recruiting process, please reach out to TotalRewards@blueprintmedicines.com. We are also an E-Verify Employer. For more information, please see our EEO Policy Statement, the E-Verify Participation Poster, the Right to Work Poster, and the EEO Know Your Rights Poster.

\n\n

Blueprint Medicines, a Sanofi company, is a global biopharmaceutical company that invents life-changing medicines. We seek to improve and extend patients' lives by solving important medical problems, with a focus on allergy/inflammation and oncology/hematology. Our approach begins by targeting the root causes of disease, using deep scientific knowledge in our core focus areas and drug discovery expertise across multiple therapeutic modalities. We have a track record of success with two approved medicines, including AYVAKIT/AYVAKYT (avapritinib) which we are bringing to patients with SM in the U.S. and Europe. Leveraging our established research, development, and commercial capability and infrastructure, we aim to significantly scale our impact by advancing a broad pipeline of programs ranging from early science to advanced clinical trials in mast cell diseases and solid tumors. For more information, visit www.BlueprintMedicines.com and follow us on X (formerly Twitter; @BlueprintMeds) and LinkedIn.

Requisition #: 25-604

#Li-Dni

\n","hiringOrganization":{"@type":"Organization","name":"Blueprint Medicines","sameAs":"https://www.blueprintmedicines.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cambridge, MA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Senior Scientist","datePosted":"2025-09-19","description":"

Company Description

The Eurofins network of companies is the global leader in food, environment, pharmaceutical and cosmetic product testing and in agroscience Contract Research Organization services. It is one of the market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, advanced material sciences and in the support of clinical studies, as well as having an emerging global presence in Contract Development and Manufacturing Organizations. It also has a rapidly developing presence in highly specialized and molecular clinical diagnostic testing and in-vitro diagnostic products.

In over 30 years, Eurofins has grown from one laboratory in Nantes, France to 58,000 staff across a decentralized and entrepreneurial network of 900 laboratories in over 54 countries. Eurofins companies offer a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products.

Job Description

Eurofins BPT-Columbia is looking for a Senior Scientist to join our growing Bioassay team located in Columbia, Missouri. The Senior Scientist position is an intermediate-level professional position involved in somewhat complex day-to-day activities in a laboratory setting under prescribed processes (protocols, standard operating procedures, methods, etc.). Responsibilities include completing work for research and development under CGMP and/or GLP guidelines for studies, documentation, etc. Assisting in conducting, monitoring and reporting studies to ensure data accuracy and report quality. Providing somewhat complex analytical work on projects and studies using a range of analytical techniques and instruments. Working with increasing independence on studies and assignments.

The Ideal Candidate Would Possess:

Experience in cell, molecular, and immune assays; including cell-based assays, ELISAs, electrophoresis, Western Blot, and PCR techniques.
Strong background in cell and molecular biology.
Experience with GLP and/or GMP and hands-on experience with HPLC and/or GC.
Experience with LIMS system desirable.
Familiarity and/or experience in a laboratory setting is required.
A highly motivated staff member that is willing to work on a team, and willing to work with others to teach and learn new skills.
Good organizational skills; ability to follow direction and good communication skills are required.

Qualifications

Bachelor’s degree in relevant field such as chemistry, biochemistry, biology, chemical engineering, pharmaceutical sciences, or other directly related field or degree with comparable coursework in the above areas and a minimum of 3 years of experience in a directly relevant or demonstrated comparable competency and skill attainment is required.
A Master’s degree and 1+ years of industry experience in a relevant field may be substituted for the bachelor’s degree and experience.
Authorization to work in the U.S. indefinitely without restriction or sponsorship.

Additional Information

Position is full-time, Monday-Friday 8am-5pm. Candidates within a commutable distance of Columbia, MO are encouraged to apply.

Excellent Full-Time Benefits Including:

Comprehensive medical coverage, dental, and vision options.
Life and disability insurance
401(k) with company match
Paid vacation and holidays

Eurofins USA BioPharma Services is a Disabled and Veteran Equal Employment Opportunity employer.

","hiringOrganization":{"@type":"Organization","name":"Eurofins","sameAs":"https://www.eurofins.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Columbia, MO, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"SLS Materials Scientist","datePosted":"2025-09-19","description":"

About Formlabs:

To reinvent an industry, you have to build the best team. Join Formlabs if you want to join us in our mission to build the tools that make it possible for anyone to bring their ideas to life.

Formlabs is looking for highly motivated individuals to join us as we bring groundbreaking professional 3D printers and materials to every designer, engineer, factory floor and medical institution throughout the world! Companies like Google, Tesla, Gillette, and New Balance rely on the products and services that Formlabs provides, and the list is always growing. Join the exciting 3D printing industry where the possibilities are endless, innovation is at the core of what we do, and we strive to solve unique customer challenges.

The Job

Build world-class SLS materials for 3D printing from initial lab explorations to validation and commercialization
Drive materials research that directly shapes the next generation of SLS materials
Partner with product, hardware, and software teams to iterate and improve material performance based on customer feedback
Develop structured experimental plans to evaluate material formulations in coordination with SLS print systems —balancing material chemistry, thermal dynamics, and printing parameters

You

A creative and resourceful problem-solver, balancing speed and scientific rigor in a dynamic environment
Have a solid understanding of the fundamentals of materials science and polymer product development
Hands-on experience in thermo-plastic engineering
Passionate about testing and troubleshooting, not afraid to test hundreds of times
Love to harness data; can design and conduct rigorous experiments to optimize materials
Can work autonomously and take initiative to learn new skills to complete an objective
Understand the value of good documentation
B.S., M.S., or PhD in a relevant science or engineering field (all are welcome)

Bonus Skills:

Experience developing materials for 3D printing, especially for SLA/DLP or SLS printers!
3D CAD modeling
Programming skills (Python, Matlab, SQL, etc)

Our Perks & Benefits:

Robust equity program to build future wealth through RSUs
Comprehensive healthcare coverage (Medical, Dental, Vision)
Low cost fund options in our 401K and access to advisors
Generous paid Parental Leave (up to 16 weeks)
Tenure-based paid Sabbatical Leave (up to 6 weeks)
Flexible Out of Office Plan – Take time when you need it
Ample on-site parking & pre-tax commuter benefits
Healthy on-site lunches, snacks, beverages, & treats
Regular sponsored professional development opportunities
Many opt-in culture events across our diverse community
And of course… unlimited 3D prints

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.

Company Description

Work with Us. Change the World.

We're one global team driven by our common purpose to deliver a better world. Join us.

Job Description

AECOM is actively seeking an experienced, exceptionally talented wetland scientist or ecologist for hire in the Conshohocken, Philadelphia or Mechanicsburg, Pennsylvania offices. The successful candidate will work within an interdisciplinary collaborative environment that provides career growth opportunities within AECOM’s Environmental Planning and Permitting (EPP) East Mid-Atlantic Team. This position will include performing environmental field assessments and reporting for wetlands and waters delineations, invasive and rare, threatened, and endangered species surveys, as well as mitigation and monitoring. Our EPP Mid-Atlantic team primarily works on projects in Pennsylvania, New Jersey, Delaware, Maryland, Virginia, West Virginia, Ohio, Indiana, and Illinois, however project opportunities in other states may be available.

The responsibilities of this position include, but are not limited to:

Serving as the senior technical lead and field team leader for wetlands/waters and other field surveys and serving as the technical lead for the associated reports.
Leading/originating Clean Water Act (CWA) Section 404/401 permitting and impact assessment for federal, state, and local permits, including application preparation and coordination with the clients and reviewing agencies.
Conducting detail and/or technical review of ecological assessment documents, CWA Section 404/401 permitting, or other associated industry reports.
Assist with task management according to approved scopes of work and delivering quality reports on schedule and within budget.
Coordinating and leading conversations with various governmental agencies (federal/state/local, etc.).
Coordinating with AECOM teams such as cultural resources, threatened and endangered species experts, civil engineers, and other project support teams.
Serving as a technical lead for environmental, biological, and other impact assessments.
Leading stream, wetland, wildlife habitat field assessments and other surveys by supporting and training junior staff.
Assisting senior project managers with business development activities, including proposals, pre-qualifications, and relationship building with clients and prospective clients.

Qualifications

Minimum Qualifications:

BA/BS in Environmental Science, Ecology, Environmental Studies, Biology, or related field +4 years of experience or demonstrated equivalency of experience and/or education.
US Citizenship required.
Valid Driver’s License and as a condition of employment must be able to pass AECOM’s Motor Vehicle Records review.
Wetlands Experience

Preferred Qualifications:

Professional Wetland Scientist or other relevant certification.
4+ years of demonstrated experience leading and performing wetlands/waters delineations, stream assessments, and other related field surveys.
Proficiency in permit application preparation experience in multiple states in the mid-Atlantic area (i.e., CWA Section 401/404 permits), supporting data collection and review, and preparation of scientific documents including wetland delineations stream assessments, technical reports. ORAM, HHEI, QHEI certificate of training or extensive experience/knowledge to lead these assessments in the field.
Experience in performing ecological assessments for natural gas, electric utilities, and/or renewables industries.
Working knowledge of ESRI ArcGIS software and mapping tools.
Technical writing experience specifically for environmental impact and assessment studies, and/or FERC resource reports, and/or NEPA analysis preferred.
Strong verbal and written communication skills and technical writing (a writing sample may be requested).
Safety training (i.e., CPR certification, OSHA HAZWOPER 40-hours)
Ability to lead and manage a field or technical team, and a high degree of self-motivation and ability to work independently and with teams.
Experience working in a fast-paced consulting environment

Additional Information

Relocation is not available for this position.
Sponsorship is not available for this position
The position will require fieldwork, and the candidate must be able to travel (including overnight).

About Aecom

What makes AECOM a great place to work

As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.

","hiringOrganization":{"@type":"Organization","name":"AECOM","sameAs":"https://www.aecom.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Conshohocken, PA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Senior SLS Materials Scientist","datePosted":"2025-09-19","description":"

About Formlabs:

To reinvent an industry, you have to build the best team. Join Formlabs if you want to join us in our mission to build the tools that make it possible for anyone to bring their ideas to life.

The Job

Build world-class SLS materials for 3D printing from initial lab explorations to validation and commercialization
Lead research that pushes the boundaries of SLS material performance, turning discoveries into next-gen solutions.
Partner with product, hardware, and software teams to iterate and improve material performance based on customer feedback
Develop methodologies to evaluate material formulations in coordination with SLS print systems —balancing material chemistry, thermal dynamics, and printing parameters

You

Experience bringing a new material to market from ideation to production
Have a solid understanding of the fundamentals of materials science and polymer product development
Hands-on experience in thermo-plastic engineering
Passionate about testing and troubleshooting, not afraid to test hundreds of times
Love to harness data; can design and conduct rigorous experiments to optimize materials
Can work autonomously and take initiative to learn new skills to complete an objective
Understand the value of good documentation
B.S., M.S., or PhD in a relevant science or engineering field (all are welcome)

Bonus Skills:

Experience developing materials for 3D printing, especially for SLA/DLP or SLS printers!
3D CAD modeling
Programming skills (Python, Matlab, SQL, etc)

Our Perks & Benefits:

Robust equity program to build future wealth through RSUs
Comprehensive healthcare coverage (Medical, Dental, Vision)
Low cost fund options in our 401K and access to advisors
Generous paid Parental Leave (up to 16 weeks)
Tenure-based paid Sabbatical Leave (up to 6 weeks)
Flexible Out of Office Plan – Take time when you need it
Ample on-site parking & pre-tax commuter benefits
Healthy on-site lunches, snacks, beverages, & treats
Regular sponsored professional development opportunities
Many opt-in culture events across our diverse community
And of course… unlimited 3D prints

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.

","hiringOrganization":{"@type":"Organization","name":"Formlabs","sameAs":"https://formlabs.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Somerville, MA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":49,"item":{"@type":"JobPosting","title":"Part-Time Clinical Lab Scientist (CLS) - Long Beach, CA","datePosted":"2025-09-19","description":"Planned Parenthood Los Angeles is seeking an experienced Clinical Lab Scientist (CLS) with excellent clinical skills to work in our Pomona health center. Provide quality patient care including accessioning and processing specimens; approving, resulting and communicating results and lab findings. Maintain the laboratory at all times in CLIA compliance and within all licensing requirements. Over one hundred years ago, Planned Parenthood was founded on the idea that everyone should have the information and care they need to live strong, healthy lives and fulfill their dreams. Founded 56+ years ago, Planned Parenthood Los Angeles is one of the largest providers of reproductive health care services in Los Angeles County. The Planned Parenthood Los Angeles (PPLA) team works together to provide high-quality, affordable reproductive health care to women, men, and young people across Los Angeles County. At PPLA, you will discover a culture of like-minded individuals who are eager to make positive contributions to their community and to the Planned Parenthood mission.\n

Qualified Candidates Must Meet The Following Requirements:

Bachelor’s degree in an appropriate major
Current California Clinical Laboratory Scientist license (ASCP preferred)
At least two (2) years of recent experience as a Clinical Laboratory Scientist/ Medical Technologist in a clinical laboratory setting
Availability to work Saturdays as needed
Capable of identifying problems that may adversely affect test performance
Follow safety and infection control practices
Must pass any applicable agency qualifying exam(s)
Open to working in Long Beach, CA (the lab will be transition there this year)

About The Position:

Abortion patients are cared for at each of our health centers, and in part through the administrative, support, and other non-clinical services provided at all PPLA locations, and by all PPLA employees. Supporting these critical services is an essential job duty, and a fundamental responsibility of all employees and contractors.
Perform laboratory testing in compliance with PPLA policies, Federal and state licensing (CLIA and OSHA). Perform necessary duties to fulfill all testing requirements, from pre-analytical to analytical and post-analytical phases in a timely fashion
Perform DNA amplification tests
Report results to PPLA clinics
Answer phones, look up results, enter orders and results in LIS, answer clinic questions as capable and appropriate or refer questions to Laboratory Supervisor as needed
Assist Laboratory Supervisor to maintain adequate records for quality assurance, quality control, proficiency testing, and other statistical data
Perform proficiency testing with strict adherence to CLIA guidelines (proficiency tests are treated no differently than patient samples)
Follow corrective action procedures and documentation policies according to the Quality Assurance Plan
Maintain inventory of all lab supplies and reagents
Complete required morbidity reporting
Prepare solutions and reagents according to standards and policy and procedures
Participate in quality management/quality control efforts

Generous Salary And Benefits Package Includes:

Medical, dental, and vision coverage options for you and eligible dependents
Free basic life/AD&D policy with additional voluntary coverage options
Short Term Disability, Critical Illness and Accident policies
403(b) Retirement plan with up to 3% employer match
Medical and Dependent Flexible Spending Account plans
Public Transportation and Commuter Pre-Tax Reimbursements
Generous vacation, sick, and holiday benefits
Hiring Range: $39.00 to 46.00 per hour (Non-exempt)

Compensation Philosophy and Position Hiring Range:At Planned Parenthood Los Angeles we continuously work towards our value of \"we respect and honor all people\", which also relates to our compensation philosophy. PPLA recognizes that decisions about pay, and benefits have significant impact on staff, so we are committed to ensuring all positions are rooted in a description that identifies competencies, duties, responsibilities, and qualifications, and that they are compensated equitably which considers both internal organizational equity and market compensation data for similar roles.
Equal Employment Opportunity will be afforded to all applicants and other covered persons without regard to protected characteristics, including their perceived protected characteristic. Protected categories include: race (including traits historically associated with race, including but not limited to, hair texture and protective hair styles such as, braids, locs, and twists as examples but not exhaustive list), color, religion or religious creed (including religious belief, observation, practice, dress, and grooming practices), national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth, breastfeeding/chestfeeding, or related medical conditions), reproductive health decision-making, gender, gender identity, gender expression, age (40 years and over), sexual orientation, veteran and/or military status (including past, current or prospective service in the uniformed service), and any other characteristic protected under applicable federal, state or local law. PPLA will consider for employment qualified applicants with criminal histories in accordance with the requirements of Los Angeles Fair Chance Initiative for Hiring.","hiringOrganization":{"@type":"Organization","name":"Planned Parenthood Los Angeles","sameAs":"https://www.plannedparenthood.org/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Long Beach Central","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":50,"item":{"@type":"JobPosting","title":"Senior Scientist I, Peptide Purification","datePosted":"2025-09-19","description":"

Company Description

Job Description

Purpose

We are seeking a highly motivated Peptide Purification Scientist to join our Peptide Synthesis team. The ideal candidate will have hands-on experience in the synthesis, transformation, and purification of peptides. This individual will investigate, identify, develop, and optimize new methods/techniques to generate reliable and reproducible data in a timely manner. The candidate should also be able to demonstrate broad and versatile technical expertise within discipline and be able to collaborate and communicate with other groups across discipline.

Responsibilities:

Laboratory Tasks:

Perform routine laboratory techniques: pipetting, reagent reconstitution, calculation of concentrations/dilutions, and accurate weighing of raw materials for instrument setup and compound processing.
Use RP-HPLC/MS for purification, characterization, and analysis of peptides.
Setup, maintain, and troubleshoot instruments: HPLC, lyophilizers, peptide synthesizers, centrifuges, rotovap, and balances.
Maintain and optimize peptide purification processes to ensure consistent output, with a strong focus on increasing peptide recovery and overall throughput.
Follow SOPs for standardized activities; implements data driven improvements/optimization.
Identify and implement process improvements; conduct optimization experiments when necessary.
Troubleshoot and correct process or instrument issues.
Highly autonomous and productive in performing laboratory research or method development, requiring only minimal direction from or interaction with supervisor.
Complete hazardous waste training (RCRA/DOT) and manage hazardous waste, including bulking and coordination with handlers.

Data Analysis & Technical Writing:

Maintain accurate lab notebooks and records of all procedures.
Analyze and interpret LC/MS data to assess peptide/sample quality.
Adjust analytical methods for QC and peptide content.
Contribute to development of new data analysis methods.
Prepare and review technical reports, SOPs, summaries, and quantitative analyses.
Stay current with scientific literature relevant to peptide purification and processes.

Inventory & Training:

Manage inventory of reagents and consumables; order supplies as needed.
Train new employees in lab techniques and instrument use.

Compliance:

Comply with all corporate/divisional policies and procedures.
Adhere to standards regarding code of conduct, safety, handling of hazardous materials, GxP compliance, and animal care (if applicable).

Ideal candidates will demonstrate strong problem-solving skills, meticulous attention to detail, and excellent documentation abilities. Experience with RP-HPLC method development and optimization is a must.

Qualifications

List required and preferred qualifications (up to 10). Include education, skills and experience.

Bachelor’s Degree or equivalent education and typically, 10 years of experience, Master’s Degree or equivalent education and typically 8 years of experience, PhD and no experience necessary.
Possess thorough theoretical and practical understanding in peptide purification and HPLC method development; experience in peptide synthesis is highly desirable.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time ofthis posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location,and we may ultimately pay more or less than the posted range. This range may be modified in the future.
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our short-term incentive programs.
This job is eligible to participate in our long-term incentive programs

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of anybonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's soleand absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html

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