{"@context":"https://schema.org","@type":"ItemList","name":"Research Scientist Jobs: Find the Latest Research Scientist Positions","description":"Explore the latest Research Scientist job vacancies. Apply to Research Scientist positions in leading companies. Discover career opportunities in data analysis, experimentation, and statistical modeling.","itemListElement":[{"@type":"ListItem","position":1,"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":2,"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":3,"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":4,"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.

","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"Principal Research Scientist I Eng - Design Verification Engineer","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

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

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

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Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

The CoreLLM team at ServiceNow leads groundbreaking research, engineering, building ServiceNow's signature models (NOWLLM). The effort involves all phases of Large Language Models development, including data curation, training, and evaluation. Our goal is to consistently enhance and improve NOWLLM models, by incorporating innovative features and optimizing efficiency, establishing a differentiated advantage for applications on the ServiceNow Platform.

These models (NOWLLM) are consumed across various Business Units (BUs) within ServiceNow to power a wide range of BU-specific use cases, enabling teams to solve complex problems and deliver tailored solutions that accelerate innovation and efficiency across the platform.

You will play a major part in building next generation Large Language Models(LLM's) for Enterprise Language Generation that will power NOW platform with AI experiences in day to day work of our customers. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 9k+ enterprise customers around the world.

What you get to do in this role:

Confronted with real-world challenges and datasets, you will need to use your AI/ML expertise and creativity to apply existing methods and develop new ones to solve these problems in a practical and scalable way.
Research and propose appropriate models/techniques, as well as implement, train and evaluate the models yourself.
Contribute to the design, implementation, and scaling of LLM's as a key AI-first platform offering in ServiceNow’s portfolio.
Collaborate daily with a team of like-minded developers, applied research scientists, product managers and quality engineers to produce quality software.
Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality & high-impact solutions to our users.

Qualifications

To be successful in this role you have:

Expert in prompt engineering and developing LLM based features
Experience with methods of training and fine tuning large language models, such as distilation, supervised fine-tunning and policy optimization
Experience in using Al productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have
Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.
6+ years of relevant experience with a Bachelor's degree; or 4 years with a Master's degree; or a PhD with no experience; or equivalent work experience.
Expertise in Python, OOP, Design Patterns.
Experience in Pretraining of an LLM is preferred but not mandatory
Experience with Instruction fine tuning and other fine-tuning techniques is a must.
Experience with Reinforcement learning is preferred but not mandatory.
Experience with various transformer architectures (auto-regressive ,sequence-to-sequence etc)
Ability to read latest papers and experiment with the ideas.
Good publication record in top tier conferences such as ICLR, NeurIPS, ICML, ACL, EMNLP, AAAI, etc.
Communicating your research findings to both technical and non-technical stakeholders, and working to ensure that the benefits and limitations of LLMs are clearly understood across the organization.

For positions in this location, we offer a base pay of $173,100 - $303,000, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

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BlueHalo, an AV Company has an opportunity available for a Research Scientist to join our ceramics and composites team at the Air Force Research Laboratory (AFRL). The position focuses on thermo-structural modeling of ceramics and ceramic matrix composites in extreme environments. Proficiency in Abaqus or another commercial structural modeling software (e.g. ABAQUS, ANSYS, Altair HyperWorks) and some experience with scripting in Python or Matlab is necessary. The ideal candidate will also have experience with multi-physics problems (e.g. combining structural modeling with Computational Fluid Dynamics). The position requires working closely with government and contract researchers within the research team and with other research teams. We are particularly interested in a highly motivated, adaptable, and capable individual with a Ph.D. in Mechanical Engineering, Materials Science, Physics, or related fields.

Requirements:

Ph.D. (or to be completed in next 6 mos.) in Mechanical Engineering, Materials Science & Engineering, Physics, or a related field OR a Master’s degree with a minimum of 1–3 years of relevant experience
Expertise in Abaqus FEM modeling
Ability to learn and develop new approaches and techniques
Excellent oral and written communication skills
This position will require a self-motivated individual with good interpersonal skills and careful attention to details
Adaptable to varying program objectives
This position is working within a government facility and requires U.S. Citizenship

Desired Qualifications:

Experience with COMSOL

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Description

The Moye-Rowley Laboratory is hiring an Assistant Research Scientist to carry out independent research projects focused on understanding drug resistance in fungal pathogens. The ideal candidate will have proven experience investigating the molecular biology of mechanisms of drug resistance in organisms including Candida species and Aspergillus fumigatus. The successful applicant will perform and help direct basic research aimed at understanding the mechanisms and regulation of resistance to antifungal drugs at the molecular level.

Duties To Include:

Experiments, Simulations, Modeling or Theoretical Investigations
Data/Research Analysis and Evaluation
Dissemination of Research Results
Research Proposals/Grants
Perform experiments, simulations, or theoretical investigations.
Collect data and evaluate relevance of data.
Work independently on basic research tasks with oversight by Faculty or Principal Investigator (PI).
Contribute to documentation of equipment and procedures.
Analyze data for relevance and data integrity.
Perform basic data analysis techniques.
Compare results of scientific investigations to previously published work.
Prepare manuscripts for contributing author for publication.
Present results in departmental seminars and at professional meetings.

o Contribute to new or continuing research grant proposals to obtain funding for research activities.

o May serve as co-PI on grants or proposals.

o Contribute to progress reports required by funding agencies.

Supervise adherence to safety and compliance guidelines when necessary.

Service

o Provide service to the scientific community, University and General Public.

o Review submitted manuscripts and research proposals.

o Consult and collaborate with the research community.

o Participate in public outreach activities as required by funding sources.

o May participate in national and international meetings within the discipline.

· Human Resources/Supervision

o Mentor graduate students.

o May provide functional and/or administrative supervision for staff.

o Provide direction, assignments, feedback, coaching and counseling to assure outcomes are achieved.

Percent of Time: 100%

Staff Type: Professional & Scientific

Type of Position: Specified Term. Appointment is for one year. Appointment may be extended based on performance and extension of funding.

Pay Grade: 5A https://hr.uiowa.edu/pay/pay-plans/professional-and-scientific-pay-structure

Benefits Highlights

Regular salaried position located in Iowa City, Iowa
Fringe benefit package including paid vacation; sick leave; health, dental, life and disability insurance options; and generous employer contributions into retirement plans
For more information about Why Iowa?, click here

Qualifications

Required Qualifications:

Academic knowledge of a discipline generally associated with a Doctoral degree or an equivalent professional degree, i.e., Ph.D., M.D., D.D.S, or D.V.M.
Three to five years of postdoctoral research related to biochemistry, molecular biology, molecular physiology and signal transduction.
Experience in protein purification, antibody generation, fluorescence microscopy, quantitative reverse transcription-PCR measurement of gene expression, as well as demonstrated expertise with standard molecular biological techniques such as cloning and PCR.
A background and experience documented by publication in studying antifungal drug resistance in at least two candida species including Saccharomyces cerevisiae, Candida albicans and Candida glabrata using genetic approaches.
Experience analyzing DNA binding measurements using techniques such as DNase I protection and electrophoretic mobility shift assay is also required.
Experience analyzing mixed RNA samples from mammalian tissue infected with Candida glabrata clinical isolates and downstream analysis of these RNA samples using chromatographic enrichment of fungal RNA.
Demonstrated ability to generate reporter gene-containing strains that can be utilized in high throughput screening approaches.
A demonstrated ability to plan and execute a research study through some progressively responsible independent research work including a strong publication record.
Excellent oral, written and interpersonal skills are required.

Desirable Qualifications:

More than five years postdoctoral research related to biochemistry, molecular biology, molecular physiology and signal transduction.
Experience in modern analyses of transcription factor function including affinity purification of epitope-tagged proteins by column chromatography.
Experience in the use and construction of affinity purification moiety-tagged proteins as biochemical tools for both protein purification and ChIP reagents.
Well-versed in fungal genetics including gene disruption.

Application Process: In order to be considered, applicants must upload a CV or resume, and cover letter (under submission relevant materials) that clearly address how they meet the listed required and desired qualifications of this position.

Job openings are posted for a minimum of 7 calendar days and may be removed from posting and filled any time after the original posting period has ended.

Successful candidates will be required to self-disclose any conviction history and will be subject to a criminal background check and credential/education verification. Professional references will be requested at a later step in the recruitment process.

For additional questions, please contact Gabriella McDermott at gabriella-mcdermott@uiowa.edu.

Primary Location

: Iowa City

Job

: Research

Organization

: Healthcare

Schedule

: Regular Full-time

Travel

: No

Job Posting

: Sep 18, 2025, 4:21:37 PM","hiringOrganization":{"@type":"Organization","name":"University of Iowa Health Care","sameAs":"https://uihealthcare.org/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Iowa City","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Sr. Research Scientist, Biophysics","datePosted":"2025-09-19","description":"Sr. Research Scientist, Biophysics - (892213)

Description

WHY UT SOUTHWESTERN?
\nWith over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a world-renowned medical and research center, we strive to provide the best possible care, resources, and benefits for our valued employees. Ranked as the number 1 hospital in Dallas-Fort Worth according to U.S. News & World Report, we invest in you with opportunities for career growth and development to align with your future goals. Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more. We invite you to be a part of the UT Southwestern team where you'll discover a culture of teamwork, professionalism, and a rewarding career!\n\n

JOB SUMMARY
\nWorks under broad direction to plan, organize, direct, and participate in work of major research project in field of specialization for which incumbent is particularly qualified by virtue of extensive training and experience.

BENEFITS
\nUT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:

PPO medical plan, available day one at no cost for full-time employee-only coverage
100% coverage for preventive healthcare-no copay
Paid Time Off, available day one
Retirement Programs through the Teacher Retirement System of Texas (TRS)
Paid Parental Leave Benefit
Wellness programs
Tuition Reimbursement
Public Service Loan Forgiveness (PSLF) Qualified Employer
Learn more about these and other UTSW employee benefits!\n

EXPERIENCE AND EDUCATION
\n
Required

EducationPhD with major coursework in field of assignment or \nMaster's Degree with major coursework in field of assignment or \nBachelor's Degree with major coursework in field of assignment

Experience6 years research experience in field of assignment; including at 1 year at the level of Research Scientist or its equivalent with a PhD or \n9 years research experience in field of assignment; including at least 2 years at level of Research Scientist or its equivalent with Master's degree or \n 12 years of research experience in field of assignment; including at least 4 years at level of Research Scientist or its equivalent with Bachelor's degree

JOB DUTIES

Plans, organizes, coordinates, directs, and personally participates in major medical or scientific research project, including development and implementation of research protocols. Selects key research personnel; determines specific goals or objectives to be attained; assigns and reviews work of subordinates.
Reviews and analyzes resulting research data; revises techniques or approaches to work problems as indicated necessary by research data. Compiles, writes, and submits project results to principal investigator or department chairman.
Prepares or assists in preparation of research papers, reports, and abstracts for publication as one of co-authors.
Designs, develops, or adapts equipment used in experiments or research to obtain desired results.
Plans and supervises training of technicians and other laboratory personnel with respect to proper laboratory techniques, use of laboratory equipment, and safety procedures.
Confers with industrial, governmental, or other groups concerning progress or results of research project.
Supervises large group of employees engaged in performance of technical and professional work, which varies from routine to complex laboratory work tasks.
Performs other duties as assigned.

SECURITY AND EEO STATEMENT

Security
This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.

EEO
\nUT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status.

Primary Location

: Texas-Dallas-5323 Harry Hines Blvd

Work Locations

: 5323 Harry Hines Blvd 5323 Harry Hines Blvd Dallas 75390

Job

: Research & Laboratory

Organization

: 352017 - BP-Lab Doubrovinski

Schedule

: Full-time

Shift

: Day Job

Employee Status

: Regular

Job Type

: Standard

Job Posting

: Sep 18, 2025, 1:30:20 PM","hiringOrganization":{"@type":"Organization","name":"UT Southwestern Medical Center","sameAs":"https://www.utsouthwestern.edu/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Texas-Dallas-5323 Harry Hines Blvd","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"LLM Code AI Algorithm Research Scientist Graduate (AI Innovation Center) - 2026 (PhD)","datePosted":"2025-09-19","description":"About The Team:
\nThe mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on TikTok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize TikTok codebase, and make the code/coding become more accessible for TikTok engineers.
\n
\nWe are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok
\n
\nSuccessful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
\n
\n The main job directions include:
\n - Drive core technology development for large language model code direction, continuously optimizing code comprehension, reasoning, and generation capabilities.
\n- Focus on improving code comprehension, reasoning, and generation capabilities in real-world production codebases, improving TikTok service code performance and privacy compliance.
\n- Explore Code Agent capabilities suitable for actual business production environments, and improve TikTok R&D efficiency.","hiringOrganization":{"@type":"Organization","name":"TikTok","sameAs":"https://www.tiktok.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore, Singapore","addressCountry":"Singapore","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Research Scientist Intern, Physics-based Simulation for Avatars and Robotics PhD","datePosted":"2025-09-19","description":"The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR, which together will become as universal and essential as smartphones and personal computers are today. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including computer vision, graphics, body tracking, robotics, perception science, and true telepresence.

The Virtual Humans team in Sausalito, CA, Redmond, WA and Zurich, CF work on cutting-edge research and development focusing on virtual people and robotics. We are currently seeking innovative interns with a passion for technology to develop the next generation of virtual humans and robotics.

Our internships are twelve (12) to sixteen (16) to twenty four (24) weeks long and we have various start dates throughout the year.

Research Topics:
* Physics-based simulation for body, cloth and hair
* Physics-based simulation for robotics and interactions with deformable objects
* Deformable object modeling, volumetric representation
* Non-rigid registration
* Differentiable simulation
* Applied machine learningResearch Scientist Intern, Physics-based Simulation for Avatars and Robotics PhD Responsibilities

Investigate, design and develop novel algorithms in areas such as full body, cloth and hair modeling, simulation and animation, surface and volumetric reconstructions, for avatars, digital humans, virtual try-on applications and robotics applications for soft-body interactions
Prototyping, building and analysis of experimental systems
Design and execution of algorithms
Collaboration with and support of other researchers across various disciplines
Communication of research agenda, progress and results
Currently has, or is in the process of obtaining a PhD in Computer Vision, Graphics, Machine Learning, Robotics, or related field
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Interpersonal skills: cross-group and cross-culture collaboration
Experience with computer vision, 3D geometry, character animation and/or linear algebra
2+ years of experience with C, C++, and/or Python
Intent to return to degree-program after the completion of the internship
2+ years of experience with one or more of the following areas: developing models for physics-based simulation, 3D geometry reconstruction, robotics, non-rigid deformation, shape representation, numerical optimization, deep learning
Proven track record of achieving results as demonstrated in accepted papers at top computer vision, graphics, machine learning or robotics related journals and conferences such as SIGGRAPH, CVPR, ICCV, ECCV, NeurIPS, etc

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":"Sausalito, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Research Scientist Intern, Video Recommendations (PhD)","datePosted":"2025-09-19","description":"Meta is seeking AI Research interns to join our Video Recommendations team within Facebook. Videos (Reels, long videos, and Live streams) are increasingly the formats of choice across the social media industry, and making all these formats successful is a top priority for Facebook, and the core mission owned by this org. Time spent on Facebook watching videos accounts for 1.2+ Billion hours/day, which is over 56% of time spent globally on the App, and this number is expected to continue growing.

This team is directly in charge of recommending all sorts of videos to users. In this role, you'll be working primarily with Facebook's video content, which is predominantly driven by our recommendation system. Your job will involve optimizing our system to provide users with the most engaging and high-quality content. Our interns will have the opportunity to participate in the process of framing practical, high-impact challenges in recommendation into rigorous machine learning problems, and bring their own expertise to build innovative solutions under the guidance from our Research Scientists and Software Engineers.

More concretely, you will focus on solving end-to-end problems in the intersection of Product, ML and Infra, and serve as a bridge between high-demand business needs and long-term foundational investments via ML approach.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.Research Scientist Intern, Video Recommendations (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
Familiarity with machine learning and common deep learning architectures
Intent to return to the degree program after the completion of the internship/co-op
Proven track record of solid research achievements as demonstrated by grants, fellowships, patents, as well as publications at leading AI conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP and KDD
Prior research or project experience in one or more of the following areas: reinforcement learning, pre-training and supervised fine-tuning of large language models, sequence modeling, diffusion models, and their applications in recommendation systems
Demonstrated software development experience via tech internships, work experience, coding competitions, or widely used contributions in open source machine-learning repositories
Experience working and communicating cross functionally in a fast-paced team environment. Ideal candidates should have the ability to quickly understand and identify the research opportunities behind real-world applications, select the appropriate ML methods to explore, and proactively drive the iterations based on clear analysis of the current results

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":"Bellevue, WA | Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Research Scientist Intern, Feed Recommendations (PhD)","datePosted":"2025-09-19","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.

Meta is seeking Research Interns to join our Feed Recommendation team within Facebook. This org is directly in charge of recommending all sorts of contents to users the time they open the app, and thus always gets the first-hand experience of critical pain points to solve. Our interns will have the opportunity to participate in the process of framing practical, high-impact challenges in recommendation into rigorous machine learning problems, and bring their own expertise to build innovative solutions under the guidance from our research scientists and software engineers.

More concretely, while the generative AI innovations in NLP are mainly focusing on optimizing the probabilities of selecting the next word token, in recommendation the vocabulary (contents to suggest) is at a much larger scale and also changing at a fast speed. The preference for these contents can also vary dramatically across users and time. If you’re excited about how to generate the correct sequences of “words” any time the giant number of Facebook users open or scroll down the blue app, come to join us!

Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.Research Scientist Intern, Feed Recommendations (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
Familiarity with algorithms behind generative model training and common deep learning architectures (Transformers, GPTs, BERT etc.)
Intent to return to the degree program after the completion of the internship/co-op
Proven track record of solid research achievements as demonstrated by grants, fellowships, patents, as well as publications at leading AI conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP and KDD
Prior research or project experience in one or more of the following areas: reinforcement learning, pre-training and supervised fine-tuning of large language models, sequence modeling, diffusion models, and their applications in recommendation systems
Demonstrated software development experience via tech internships, work experience, coding competitions, or widely used contributions in open source machine-learning repositories
Experience working and communicating cross functionally in a fast-paced team environment. Ideal candidates should have the ability to quickly understand and identify the research opportunities behind real-world applications, select the appropriate ML methods to explore, and proactively drive the iterations based on clear analysis of the current results

Minimum Qualifications:

PhD degree in Computer Science, a related field, or equivalent practical experience.
4 years of experience with research agendas across multiple teams or projects.
Experience in computer vision
Experience in biometrics, face anti-spoofing, 3D/2.5D vision, facial landmark estimation, or pose estimation
One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred Qualifications:

2 years of experience in coding and leading multiple research efforts and influencing research direction.
Knowledge of TensorFlow, Flume, common computer vision libraries/frameworks and Android.

About The Job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Author research papers to share and generate impact of research results across organization and in the research community.
Assist in research growth by sharing research trends and best practices within the community by reviewing academic papers, and serve on program committees and grant panels.
Deliver on large portions of a project by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
Identify new and upcoming research areas by interacting with potential external and internal collaborators. Develop long-term research strategy and plans to expand the impact of Google research.
Identify complex but defined problems/gaps in existing technology and engage stakeholders and leaders to address them.

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Job Description

The Fire Department of the City of New York (FDNY) is the largest Fire Department in the United States and universally is recognized as the world's busiest and most highly skilled emergency response agency. The Department's main goal is to provide fire protection, emergency medical care, and other critical public safety services to residents and visitors in the five boroughs. FDNY members are sworn to serve and protect life and property and the Department works to continually educate the public in fire, life safety and disaster preparedness, along with enforcing public safety codes. Since its inception in 1865, FDNY has helped lead efforts to make New York the safest big city in the nation. This accomplishment requires a steadfast and daily commitment to maintaining the Department's core values.

The Bureau of Fire Prevention cultivates a safer city for its citizens, visitors and first responders by preventing loss of life and property damage from fire and other emergencies. We accomplish this 24/7 by identifying fire and life safety hazards; creating, revising, and enforcing the New York City Fire Code; reviewing plans for critical systems designed to protect and alert building occupants; licensing qualified companies to install and service fire protection equipment and systems; certifying individuals to monitor fire safety conditions; and educating individuals and businesses about fire safety. In addition, the Bureau of Fire Prevention is critical partner with the Bureau of Fire Operations (Firefighters) and Bureau of Fire Investigations (Fire Marshals), providing assistance and guidance during post-fire incidents and investigations; and coordinating with other City agencies on matters concerning fire and life safety. The Bureau consists of Fire Protection Inspectors, lawyers, engineers, explosives experts, and Fire Officers work together to save lives in New York City.

The Fire Department, City of New York (FDNY), seeks a full-time City Research Scientist, Level III in the Bureau of Fire Prevention. Reporting directly to the Director of Performance Management, the successful candidate will: support the Fire Prevention Bureau through advanced data research, analytics, and visualization. This role will focus on building Microsoft BI dashboards, evaluating and integrating Fire Prevention data into ETL processes, and delivering high-quality analysis, visualizations, and datasets to support decision-making, performance tracking, and operational improvement. Well-suited candidates will have experience aggregating and joining datasets for advanced analysis and reporting. The City Research Scientist will also provide workforce analytics, which will require them to apply appropriate statistical and analytical methodologies to identify trends, outliers, and operational insights, as well as provide interpretation of findings with actionable recommendations. Finally, the City Research Scientist will identify opportunities to improve data quality, accessibility, and analytical
capabilities throughout the Bureau

CITY RESEARCH SCIENTIST - 21744

Qualifications

1. For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health.
To be appointed to Assignment Level II and above, candidates must have:
1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or
2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or
3. Education and/or experience which is equivalent to \"1\" or \"2\" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in \"2\" above. Two years as a City Research Scientist Level I can be substituted for the experience required in \"1\" and \"2\" above.

NOTE:
Probationary Period
Appointments to this position are subject to a minimum probationary period of one year.

Additional Information

The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

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Luma’s mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change. We are looking for engineers with significant experience solving hard problems in PyTorch, CUDA and distributed systems. You will work alongside the rest of the research team to build & train cutting edge foundation models on thousands of GPUs that are built to scale from the ground up.

About The Role

The Training Infrastructure team at Luma is responsible for building and maintaining the distributed systems that enable training of our large-scale multimodal models across thousands of GPUs. This team ensures our researchers can focus on innovation while having access to reliable, efficient, and scalable training infrastructure that pushes the boundaries of what's possible in AI model development.

Responsibilities

Design, implement, and optimize efficient distributed training systems for models with thousands of GPUs
Research and implement advanced parallelization techniques (FSDP, Tensor Parallel, Pipeline Parallel, Expert Parallel)
Build monitoring, visualization, and debugging tools for large-scale training runs
Optimize training stability, convergence, and resource utilization across massive clusters

Experience

Extensive experience with distributed PyTorch training and parallelisms in foundation model training
Deep understanding of GPU clusters, networking, and storage systems
Familiarity with communication libraries (NCCL, MPI) and distributed system optimization
(Preferred) Strong Linux systems administration and scripting capabilities
(Preferred) Experience managing training runs across >100 GPUs
(Preferred) Experience with containerization, orchestration, and cloud infrastructure

Research Scientist / Engineer – Pre-Training / Scaling

About The Role

At Luma, the Pre-Training / Scaling team is responsible for building the core multimodal AI systems that power our entire platform. Working at the forefront of generative AI research, this team develops the fundamental architectures and training methodologies that enable our models to see, hear, understand, and interact with the world across video, image, text, and audio modalities.

Responsibilities

Lead cutting-edge research in multimodal foundation models spanning video, image, text, and audio
Design and implement novel algorithms, architectures, and techniques for large-scale generative AI models
Develop training methodologies for foundation models across thousands of GPUs
Research and implement state-of-the-art techniques in Autoregressive LLMs, Vision Language Models, and / or Diffusion Models.
Collaborate with cross-functional teams to transition research into production systems

Experience

Expertise in Python and PyTorch with experience building ML models from scratch
Deep understanding of multimodal generative models and deep learning architectures
(Preferred) Strong research track record in generative AI with published work in top-tier venues preferred
(Preferred) Experience with large-scale distributed training systems

Compensation

The pay range for this position in California is $180,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.

Your application are reviewed by real people.

","hiringOrganization":{"@type":"Organization","name":"Luma AI","sameAs":"https://www.lumalabs.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":18,"item":{"@type":"JobPosting","title":"Research Scientist - Multimodal Language Models","datePosted":"2025-09-19","description":"Luma’s mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision and audio. So, we are working on training and scaling up multimodal foundation models for systems that can see, hear and understand, show and explain, and eventually interact with our world to effect change.
We are looking for researchers with significant experience solving hard problems in multimodal language models. You will work end–to–end on cutting edge multimodal language models with strong emphasis on audio and visual data. Your contributions will be pivotal in shaping various research projects and product roadmaps.\n

Responsibilities

Design and implement novel AI algorithms and architectures for multimodal language models.
Build tools to evaluate and benchmark multimodal language models.
Develop large-scale AI training and inference methods.
Ensure efficient implementation of models & systems for data processing and training.
Build tools to analyze and process multimodal data.
Collaborate with research and engineering teams across Luma to transfer research to products and services.
Implement cutting-edge product prototypes based on multimodal generative AI.

Experience

Expertise in Python & Pytorch, including practical experience working with the full development pipeline from data processing & data loading to training, inference, and optimization.
Experience working with large-scale text data, or (bonus) interleaved data spanning audio, video, image, and/or text.
Hands-on experience in developing or benchmarking at least one of the following topics: LLMs, Vision Language Models, Audio Language Models, generative video models .

Compensation

The pay range for this position in California is $200,000 - $300,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.

Your application is reviewed by real people.","hiringOrganization":{"@type":"Organization","name":"Luma AI","sameAs":"https://lumalabs.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, California","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"Research Scientist","datePosted":"2025-09-19","description":"We are looking for people with a strong research track-record related to Generative AI, such as LLMs, diffusion models, data and distributed systems. You will be part of Luma’s foundation models research team and work directly on mission critical projects.
Candidates must have at least one research project related to Generative AI in which you played a major role.\n

Relevant Research Experience

Training generative AI models in modalities such as video, image, text, and audio.
Unlocking the power of foundational models for interesting applications, such as editing and controlled generations.
On-policy or off-policy reinforcement learning for model tuning
Efficient training and / or inference techniques on large-scale distributed systems
Data curation and processing for pretraining and fine-tuning

Technical Requirements

Proficiency in deep learning frameworks such as PyTorch and/or Jax.
This is an onsite role but open to remote for right candidate

Compensation

The pay range for this position in California is $200,000 - $300,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.

Job Dimensions

Manages the Analytical Laboratory Team in Wauwatosa to provide technical support for BU R&D, manufacturing plants, and Bostik customers.\n\n
Works within established safety guidelines, provides suggestions for process and safety improvements.
Provides professional input on selection and purchasing of some analytical instrumentation and specialized analyses; responsible for maintenance and repair of some equipment.
Provides input on workflow process and documentation for the Analytical Laboratory.
Can effectively engage business and technical resources to interpret, solve, and communicate complex technical problems.
Manages expectations and performance (including safety performance) and develops the careers of subordinate personnel using Bostik’s Performance Management process.

Key Technical Activities

Maintains substantial technical role including project leadership, direct engagement in problem solving and analytical testing.
Aligned to Bostik business needs, can develop, perform, and document analytical characterization methods.
Development, execution, and documentation of calibration and verification procedures.
Supports instrument maintenance and repair of analytical equipment through hands-on troubleshooting and/or coordinating with equipment vendors.

Key Leadership Activities

Coordinates with Analytical management team on establishment of priorities and assignment of resources to incoming requests for analysis based on understanding of their relative importance and urgency.
Supports development and execution of strategic research/resource plan for the Wauwatosa Analytical team to ensure alignment with business strategies and ability to support group needs, priorities, and growth (in coordination with Analytical management team and based on technical knowledge and understanding of business strategies within Bostik).
Manages training and growth of a team of professional analysis. Builds goals and manages/documents formal performance reviews for direct reports (mid-year and annual).

Context And Environment

Expertise and support for multiple chemistries/product families in multiple business units with independent aggressive business plans. Involves balancing resources between longer-term research projects and unpredictable and variable immediate technical crises.
Communicating with multiple functions/geographies and a range of education and technical expertise.
Must effectively support a collaborative team environment and coordinate with Bostik and Arkema analytical teams at other sites.

Purpose

To support specialized testing capabilities for Bostik Americas, with coordination from other global analytical laboratories. This includes providing input on what techniques, equipment and resources are needed, acting as a resource in interaction with outside entities, growing a team of professionals, supporting a process for analytical testing in a safe manner and assuring that data is repeatable and technically sound.

Qualifications/Experience Required

Minimum of a bachelor’s degree in Chemistry, Material Science or related field (Masters or PhD preferred).
Minimum of 5 years experience in an industrial laboratory or equivalent proven ability to manage multiple complex projects in a service laboratory.
Strong verbal and communication skills with technical and business resources.
Proven ability to lead/mentor a team of analysts.
Experience in multiple polymer characterization techniques including rheological, thermal, chromatographic and spectral techniques for qualitative and quantitative analysis.
Experience with adhesive and sealant chemistries, end uses, and formulations preferred.

#Li-Ms1

","hiringOrganization":{"@type":"Organization","name":"Arkema","sameAs":"https://www.arkema.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Wauwatosa, WI, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Research Scientist","datePosted":"2025-09-19","description":"

Become A Part Of Our Caring Community And Help Us Put Health First

Are you driven by curiosity and a passion for improving health outcomes? Do you thrive on asking bold questions and uncovering insights hidden in complex data? We’re looking for a Research Scientist who brings both analytical rigor and creative thinking to the table—someone who’s eager to explore, experiment, and make a measurable impact on the lives of our members.
In this role, you’ll be at the forefront of healthcare innovation, designing studies, testing hypotheses, and translating data into strategies that drive better clinical decisions. You’ll collaborate with a team that values intellectual curiosity, evidence-based thinking, and a shared mission to transform care delivery.

Key Responsibilities:

Design and conduct rigorous research studies to evaluate clinical interventions and health outcomes.
Develop hypotheses and perform statistical testing using large-scale healthcare datasets.
Collaborate with cross-functional teams to identify opportunities for improving member health and care delivery.
Build and maintain analytical models using Python, SQL, and SAS.
Translate complex findings into clear, actionable insights for clinical and operational stakeholders.
Stay current with emerging trends in healthcare research, data science, and population health.
Contribute to publications, presentations, and internal knowledge sharing.
Master’s or PhD in Public Health, Epidemiology, Biostatistics, Data Science, or a related field.

Use Your Skills To Make An Impact

Required Qualifications

Proficiency in SQL, Python, and SAS for data manipulation and analysis.
Strong background in research design, hypothesis testing, and statistical modeling.
Experience working with healthcare data (claims, EMR, clinical registries, etc.) is a plus.
Excellent communication skills and a natural curiosity to explore complex problems.
Passion for improving health outcomes and making a meaningful impact.
Healthcare or managed care working experience

Preferred Qualifications

Demonstrated familiarity with clinical concepts related to a broad range of clinical conditions and disease states – experience with oncology, behavioral health and chronic conditions would be particularly valuable
Demonstrated familiarity with hypothesis testing, statistical methods, and/or comparative effectiveness study design and modeling techniques
Experience using Pyspark, DataBricks, and/or Microsoft Azure
Ability to work independently and collaboratively in a fast-paced environment.
A mindset that embraces continuous learning and innovation.

Wah Requirements:

Must have the ability to provide a high-speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
Satellite and Wireless Internet service is NOT allowed for this role.
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.$71,100 - $97,800 per yearThis job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description Of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.Application Deadline: 09-25-2025

About Us

Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

","hiringOrganization":{"@type":"Organization","name":"Humana","sameAs":"https://www.humana.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote US, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Clinical Research Scientist","datePosted":"2025-09-19","description":"

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

The Roche Clinical Development organization is structured by therapeutic area and is responsible for developing and executing the late stage development (Phase 2-3) clinical strategies and plans to deliver medically-differentiated therapies that provide meaningful improvement to patients.

The Opportunity

Join Roche/Genentech as a Lead/Senior Clinical Scientist and play a pivotal role in advancing the clinical development of Prasinezumab, the first anti-synuclein antibody entering Phase III development and with the potential to be the first disease modifying treatment for Parkinson’s disease. This position offers a unique opportunity to contribute to ground-breaking drug development in Neurology, collaborate with cross-functional global teams, and drive progress in Parkinson’s clinical development.

Collaborate with cross-functional teams to design, implement, monitor, and analyze clinical studies.
Develop and maintain key clinical documents, including study protocols, investigator brochures, informed consent forms, and progress reports.
Provide oversight of and contribute to Medical Data Review Plan execution
Make significant contributions to clinical development planning
Contribute to clinical science strategy for various activities, including regulatory interactions
Stay abreast of relevant scientific literature and integrate findings into clinical strategy planning.
Review, interpret, and present clinical trial data internally and externally.
Ensure adherence to GCP, regulatory standards, and quality protocols.
Work closely with global teams through frequent collaboration.

Who You Are

You’re a highly motivated professional passionate about influencing your own development and making an impact in Neurology. You bring:

An advanced degree (PhD or PharmD preferred) and 3-5 years of drug development experience within the biopharmaceutical industry.
Demonstrated expertise in clinical trials, with a focus on Phase II or III trials including authoring of protocols and/or protocol amendments .Experience in neurodegeneration and/or in early stage development and processes is a plus
Interested in and motivated by study execution related activities, incl. data review
Strong ability to interpret and synthesize scientific data and present it effectively in diverse settings.
Excellent written and verbal communication skills.
A collaborative mindset, thriving as a team player in a global matrix environment.

Are you ready to help shape the future of Parkinson’s disease treatment? Join us and make your mark.

Who We Are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.

The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.

","hiringOrganization":{"@type":"Organization","name":"Roche","sameAs":"https://www.roche.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Welwyn, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Clinical Research Scientist 2","datePosted":"2025-09-19","description":"

Become A Part Of Our Caring Community And Help Us Put Health First

Humana’s Clinical Analytics Team is seeking a Research Scientist 2 (Remote).

Healthcare is rapidly changing, and our members are living longer, often with more chronic conditions. The Clinical Analytics team identifies opportunities and build solutions to improve clinical outcomes and lower costs for millions of Medicare Advantage beneficiaries leveraging data science & analytics, clinical expertise, strategic mindset, and rigorous study designs. In this multi-disciplinary team, you will have the opportunity to work closely with strategy partners and clinicians to shape Humana’s future enterprise clinical strategies and initiatives.

The Research Scientist 2 will lead research, evaluation and development of opportunities that optimize healthcare delivery, lower medical cost while improve member health outcomes, through applying mathematical, statistical, epidemiologic and data science methods. The Research Scientist 2 will also partner with stakeholders across the enterprise to identify, prioritize and measure the impact of core and novel solutions to significant problems in healthcare and improve the health of especially underserved population, using high volumes of structured and unstructured data.

Responsibilities

As a Research Scientist 2, you will:

Research, prototype and scale new ideas to improve population health and healthcare delivery
Collaborate with analytic and business teams to set objectives, approaches, and work plans
Collaborate with strategy to evaluate existing programs and identify and measure new solutions to impact healthcare
Leverage a wide range of analytics methods ranging from descriptive to prescriptive to transform high volumes of complex data into analytics solutions and actional insights
Collaborate with clinicians and clinical informaticists to define various clinical concepts and extract clinical information from medical, pharmacy, and lab claims for analytics and modeling purposes
Translates analytic results into key takeaways and make recommendations to business partners
Understands department, segment, and organizational strategy and operating objectives, and translate the strategy to work priorities
Make decisions regarding own work methods, occasionally in ambiguous situations with general guidance

Use Your Skills To Make An Impact

Required Qualifications

Master's Degree in a quantitative discipline such as Epidemiology, Biostatistics, Economics, Statistics, Clinical Informatics, Mathematics, Data Science, Data Analysis and/or related fields
1-3 years of experience in applying mathematics, statistics, epidemiologic or econometric principals to transform high volumes of complex data into actionable insights
Demonstrated strong interest in healthcare and desire to make a positive impact on population health
Proficient in manipulating and analyzing data with at least one of the programming languages such as Python, R, SAS
Demonstrated strong analytical thinking and problem-solving skills
Flexible, dynamic personality who can work independently and collaboratively within a multi-disciplinary team
Clear and concise oral and written communication skills, with a proven ability to translate complex methodologies and analytical results to higher-level business insights and key takeaways

Preferred Qualifications

Healthcare or managed care working experience
Experience working with medical, pharmacy, lab claims
Experience working with big data and using PySpark, Spark R or Spark Scala
Experience with causal inference and causal machine learning techniques, and/or advanced machine learning algorithms such as deep learning, NLP, recommender system, network analysis.
Familiarity with clinical concepts related to a broad range of clinical conditions and disease states, such as oncology, falls, palliative care, behavioral health and/or other chronic conditions
Deep understanding of healthcare payer economics, and/or other specific healthcare areas such as EMR, Episode grouper, utilization management, value-based care, low value care etc.

Additional Information

To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:

At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested.
Satellite, cellular and microwave connection can be used only if approved by leadership.
Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.
Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.
Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

As part of our hiring process for this opportunity, we will be using an interviewing technology called HireVue to enhance our hiring and decision-making ability. HireVue allows us to quickly connect and gain valuable information from you pertaining to your relevant skills and experience at a time that is best for your schedule.

Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from Humana@myworkday.com with instructions on how to add the information into your official application on Humana’s secure website.

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

Pay Range

Description Of Benefits

About Us

Equal Opportunity Employer

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Additional Location(s): N/A

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.

We will consider qualified applicants of all ages who are starting (or restarting) their careers

\n\n

At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model, requiring employees to be in our local office at least three-four days per week.

\n\n

Relocation and housing assistance may be available to those who meet the eligibility criteria.

\n\n

Boston Scientific will not offer sponsorship or take over sponsorship of an employment VISA for this position at this time

\n\n

About The Role:

As a Research Scientist Intern, you will be tasked with designing and developing implant products for the Cardiac Rhythm Management Diagnostics (CRMDx) group. This includes technologies that monitor, support diagnosis and treat irregular heart rhythms, heart failure, and sudden cardiac arrest. CRMDx provides devices and therapies for a patient’s entire continuum of care, from diagnostic to treatment. This division strives to innovate and create a paradigm shift that can solve unmet clinical needs and change what is possible for patients.

\n\n

Your Responsibilities Will Include:

Designing, and testing prototype devices/algorithms to address clinical feedback.
Analyzing large clinical databases to inform device design and procedural technique.
Viewing live and recorded clinical procedures and developing test methods to replicate use.
Creating AI/ML models using real-world data from patients and implantable cardiac devices

\n\n\n\n\n

Required Qualifications:

Must graduate between Fall 2026 – Spring 2027
Currently pursuing a bachelor’s or graduate level degree majoring in Machine Learning
Must be able to commit to one of the following full internship program periods: May 18th – August 7th OR May 26th – August 14th
Must be eligible to work in the U.S. without company sponsorship, now or in the future, for employment-based work authorization
Must have reliable transportation to and from the Arden Hills, MN Boston Scientific Corporate location
Previous Boston Scientific internship experience required

\n\n\n

Preferred Qualifications:

Ability to communicate effectively with diverse, cross-functional teams
Passion to learn new technologies and find new solutions 
Desire to work in a medical device company where real products get manufactured
Requisition ID: 613678
Minimum Salary: $42120
Maximum Salary: $71552

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

The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) – see www.bscbenefitsconnect.com—will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs. At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above.

\n\n

Compensation for non-exempt (hourly), non-sales roles may also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).

\n\n

Compensation for exempt, non-sales roles may also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).

\n\n

For MA positions: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.

\n\n

As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen.

So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

\n\n

At Boston Scientific, we recognize that nurturing a diverse and inclusive workplace helps us be more innovative and it is important in our work of advancing science for life and improving patient health. That is why we stand for inclusion, equality, and opportunity for all. By embracing the richness of our unique backgrounds and perspectives, we create a better, more rewarding place for our employees to work and reflect the patients, customers, and communities we serve.

\n\n

Boston Scientific Corporation has been and will continue to be an equal opportunity employer. To ensure full implementation of its equal employment policy, the Company will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identify, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class.

\n\n

Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.

","hiringOrganization":{"@type":"Organization","name":"Boston Scientific","sameAs":"https://www.bostonscientific.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Arden Hills, MN, US, 55112","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Computational Chemistry Senior Research Scientist","datePosted":"2025-09-19","description":"

Job Description

Research Scientist, Computational Drug Design

General Summary:

We are seeking a highly motivated and experienced computational chemist to join our Computational Drug Design group in Boston. This individual will be responsible for contributing to both hit/lead identification and optimization programs using methods encompassing all computational aspects of drug discovery. The right candidate's responsibilities include close interaction with interdisciplinary projects teams to identify and advance safe and efficacious molecules. In addition, this individual will work collaboratively with the global Data and Computational Sciences group to provide expertise in data analysis, cheminformatics, and physics-based methods development. Thus, this individual must demonstrate strong interpersonal skills and have demonstrated the ability to guide scientists in drug discovery.

Key Duties And Responsibilities:

Apply computational chemistry methods and tools to accelerate the discovery and development of drug candidates, in close collaboration with chemists, structural biologists, biologists and other research project scientists
Use timely decision making to ensure focus and delivery of key project objectives. Promote high levels of productivity and urgency
Leverage physics-based methods, generative models and machine learning approaches to design new chemical entities
Proactively work with other computational chemists and cheminformaticians to assess and develop new computational methodologies, create workflows and share successful methods
Contribute to the further development of Vertex’s computational chemistry capabilities with a focus on physics-based methods
Seek out opportunities to improve Vertex’s global R&D capabilities through collaboration with DMPK, Structural Biology, Safety Assessment, and other groups

Knowledge And Skills:

Excellent interpersonal, communication and presentation skills
In depth knowledge of physics-based methods and the state-of-the-art in computational chemistry and their application in drug discovery
Experience with commercial and open-source molecular modeling and data mining software
Knowledge of concepts related to drug discovery and development
Strong solution-oriented attitude, spirit of innovation and creativity, good time and priority management
Scripting and programming expertise in languages such as Python

Education And Experience:

Ph.D. (or equivalent degree) in Computational Chemistry and 2-5 years of productive, relevant post-doctoral employment experience
Experience in applying a wide array of molecular modeling methods to structure, ligand and fragment-based drug discovery projects

#Li-Km1

#Li-Hybrid

Pay Range:

$123,400 - $185,100

Disclosure Statement:

The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.

At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.

Flex Designation:

Hybrid-Eligible Or On-Site Eligible

Flex Eligibility Status:

In this Hybrid-Eligible role, you can choose to be designated as:
1. Hybrid: work remotely up to two days per week; or select
2. On-Site: work five days per week on-site with ad hoc flexibility.

Note: The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time.

Eli Lilly Cork Is Made Up Of A Talented Diverse Team Of Over 2,000 Employees Across 60 Nationalities Who Deliver Innovative Solutions That Add Value Across A Variety Of Business Service Functions Including Finance, Information Technology, Medical, Clinical Trials And More. Eli Lilly Cork Offers A Premium Workspace Across Our Campus In Little Island, Complete With Flexible Hybrid Working Options, Healthcare, Pension And Life Assurance Benefits, Subsidized Canteen, Onsite Gym, Travel Subsidies And On-Site Parking. Inhouse People Development Services, Educational Assistance, And Our ‘Live Your Best Life’ Wellbeing Initiatives Are Just Some Of The Holistic Benefits That Enhance The Career Experience For Our Colleagues.

Eli Lilly Cork Is Committed To Diversity, Equity And Inclusion (Dei). We Cater For All Dimensions Ensuring Inclusion Of All Ethnicities, Nationalities, Cultural Backgrounds, Generations, Sexuality, Visible And Invisible Disabilities And Gender, With Four Pillars: Enable, Age & Culture, Lgbtq+ And Gin-Gender Inclusion Network. Enable, Our Pillar For People With Disabilities And Those That Care For Them, Partners With The Access Lilly Initiative To Make Our Physical And Digital Environment Accessible And Inclusive For All. Together They Are Committed To Promoting Awareness To Create A Disability Confident Culture Both At Eli Lilly Cork And Beyond.

Come Join Our Team - Be Creative, Be An Innovator, And Most Of All, Be Yourself!

Organization Overview:

Eli Lilly Gbs Cork, Ireland, Hosts A Unique 'Global Medical Affairs' Role Within The 'Medical And Scientific Capabilities' Organization. This Role Supports The Life Cycle Of The Immunology Portfolio, Contributing To Strategic Planning And Collaboration With Global Teams In Product Development Activities.

Through The Application Of Scientific And Clinical Expertise, The Clinical Research Scientist (Crs) Is An Integral Member Of The Medical Affairs Team For Strategic Planning And Execution.

Responsibilities:

As A Medical Affairs Crs, You Will Be An Integral Member Of Cross-Functional Teams, Collaborating With Other Crs And Clinical Research Physicians. Your Responsibilities Include:

Developing Global And/Or Regional Clinical/Medical Plans.
Contributing To The Development Of Promotional Materials And Medical Strategies.
Supporting Business-To-Business And Business-To-Government Activities.
Engaging In Scientific Data Dissemination And Exchange.
Participating In Clinical Planning, Trial Execution And Reporting.
Providing Regulatory Support Activities.

You Will Work Closely With Internal Teams Such As Clinical Development, Global Scientific Communications, Global Medical Information, Global Patient Safety, Value, Evidence And Outcomes, And The International Business Unit.

Basic Requirements:

Minimum 3 Years Of Medical Affairs Experience And Familiarity With Immunology Disease Areas (Rheumatology And Dermatology)
An Advanced Health/Medical/Scientific (Pharmacology, Physiology, Microbiology) Or Related Graduate Degree Such As Doctor Of Veterinary Medicine (Dvm), Doctor Of Pharmacy (Pharmd), Doctor Of Philosophy (Phd), Master Of Science In Nursing (Msn) With Advanced Clinical Specialty (Clinical Nurse Specialist/Nurse Practitioner) And One Of Following: 3-5 Years Of Clinical Experience; Or 3-5 Years Of Pharmaceutical Experience (Including 2 Years In Clinical Development)

Or

Bachelor’S Or Master’S Degree In Health/Medical/Scientific Or Related Field With 7-10 Years Of Pharmaceutical Experience Directly Related To Clinical Trials, Drug Discovery, Or Drug/Clinical Development (E.G., Epidemiology, Toxicology, Pharmacology, Regulatory Affairs, Medical Affairs).
Strong Communication, Interpersonal, Teamwork, Organizational, And Negotiation Skills.
Ability To Balance Scientific Priorities With Business Priorities And Influence Others Cross-Functionally.
Fluency In English, Both Verbal And Written Communication.
Flexibility To Engage In Domestic And International Travel As Needed To Support The Business Objectives.

Additional Skills/Preferences:

Proficient In Data Analysis And Interpretation.
Prior Work With Cross-Functional Teams And Ability To Collaborate Effectively Across Different Departments.
Proven Ability To Effectively Communicate Scientific And Clinical Information To Diverse Audiences.
Familiarity With Regulatory Requirements And Guidelines For Clinical Research And Drug Development.
Experience In Conducting Literature Reviews And Staying Abreast Of Developments In The Field Of Immunology.
Demonstrated Ability To Adapt To Changing Priorities And Work Effectively In A Fast-Paced Environment.

Additional Information:

Travel May Be Required, Both Domestically And Internationally And Is Planned To Be Around 10-15% Of The Time.
This Position Is Based At Eli Lilly Gbs Cork, Ireland.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

#Wearelillyukandireland

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Do you consider yourself a self-starter with a real passion for projects involving innovative methods in health economics and evidence synthesis? Do you love collaborating, moving the ball forward, and rolling up your sleeves? Are you a health economist with a passion for R programming?

If so – we want to talk to you! We are growing and seeking a Senior Research Scientist with experience in building health economic models in R to join our Evidence Synthesis and Decision Modelling team. You will collaborate with a highly specialized team of health economists, statisticians and researchers in global, methodologically innovative projects for our pharma and biotech clients.

Why Join Us?

Innovative Culture: Experience the excitement of a start-up within a well-funded, established global organization.
Passionate Team: Work with a team that has a real passion for Health Economics and Outcomes Research (HEOR) and prides itself on being visionary leaders in the field.
Growth Opportunities: Be part of a growing team that values collaboration and making a real difference in healthcare.

About You:

Experienced Health Economist: You have a background in health economics, statistics or a related field, HEOR experience, and a solid understanding of the pharmaceutical industry and drug reimbursement processes. You can interpret results of clinical and health economic studies independently, and lead the implementation of simulation-based cost-effectiveness analyses in R and Excel/VBA.
Modelling Research Experience: You have experience planning, programming and reporting R-based and Excel-based cost-effectiveness simulation models and applied knowledge of statistical methods in health economics. You can evaluate studies to identify key result drivers, assess data or methodological gaps and suggest solutions.
Deliverable Creation: You can program independently economic models in R and Excel/VBA from scratch, and contribute to the development of client-ready study deliverables including model conceptualization and analysis plans, interpretations of model results and sensitivity analyses, and technical reports.
Technical Proficiency: You demonstrate passion and expertise in R programming applied to health economic simulation modelling, as well as data analysis and visualization. You are proficient with collaborative versioning software (i.e., git/GitHub). You are an expert in Excel and Visual Basic for Applications (VBA) programming. You are skilled in preparing written documentation and presenting results using Microsoft Word and PowerPoint.
Effective Communication: You can present progress and results clearly to both technical and non-technical audiences, either internally or externally.
Project and Time Management: You ensure timely delivery of project components, can work effectively individually and as part of a diverse team and have excellent independent organizational and time management skills.

Required Experience And Competencies:

Master’s degree in health economics or statistics, or a related discipline
Minimum of 4 years of relevant professional experience, ideally in a consulting environment serving biotech, pharmaceutical or healthcare clients
Proven R programming skills, experience with programming cost-effectiveness simulation models in R
Understanding of and experience in the application of statistical methods in health economics, e.g., parametric survival regression model extrapolation, network meta-analyses, probabilistic sensitivity analyses
Willingness and desire to learn and share knowledge
Strong multi-tasking and time management skills
Highly developed analytical reasoning and problem-solving skills
Ability to work effectively individually and as part of a diverse team

Helpful Experience And Competencies:

Experience with Python, C++ or other programming languages
Experience with the hesim, shiny, Rcpp R packages
Experience with Bayesian statistics and advanced modeling techniques
Knowledge and experience in conducting indirect treatment comparisons such as network meta-analysis, matching-adjusted indirect comparison, and simulated treatment comparison

\n\n\n

#Li-Tb1

#Li-Remote

Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.

Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com.

It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

\n","hiringOrganization":{"@type":"Organization","name":"Precision Medicine Group","sameAs":"https://www.precisionmedicinegrp.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, England, UK","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Senior Research Scientist, Health Economics and Decision Modelling","datePosted":"2025-09-18","description":"

Why Join Us?

Innovative Culture: Experience the excitement of a start-up within a well-funded, established global organization.
Passionate Team: Work with a team that has a real passion for Health Economics and Outcomes Research (HEOR) and prides itself on being visionary leaders in the field.
Growth Opportunities: Be part of a growing team that values collaboration and making a real difference in healthcare.

About You:

Experienced Health Economist: You have a background in health economics, statistics or a related field, HEOR experience, and a solid understanding of the pharmaceutical industry and drug reimbursement processes. You can interpret results of clinical and health economic studies independently, and lead the implementation of simulation-based cost-effectiveness analyses in R and Excel/VBA.
Modelling Research Experience: You have experience planning, programming and reporting R-based and Excel-based cost-effectiveness simulation models and applied knowledge of statistical methods in health economics. You can evaluate studies to identify key result drivers, assess data or methodological gaps and suggest solutions.
Deliverable Creation: You can program independently economic models in R and Excel/VBA from scratch, and contribute to the development of client-ready study deliverables including model conceptualization and analysis plans, interpretations of model results and sensitivity analyses, and technical reports.
Technical Proficiency: You demonstrate passion and expertise in R programming applied to health economic simulation modelling, as well as data analysis and visualization. You are proficient with collaborative versioning software (i.e., git/GitHub). You are an expert in Excel and Visual Basic for Applications (VBA) programming. You are skilled in preparing written documentation and presenting results using Microsoft Word and PowerPoint.
Effective Communication: You can present progress and results clearly to both technical and non-technical audiences, either internally or externally.
Project and Time Management: You ensure timely delivery of project components, can work effectively individually and as part of a diverse team and have excellent independent organizational and time management skills.

Required Experience And Competencies:

Master’s degree in health economics or statistics, or a related discipline
Minimum of 4 years of relevant professional experience, ideally in a consulting environment serving biotech, pharmaceutical or healthcare clients
Proven R programming skills, experience with programming cost-effectiveness simulation models in R
Understanding of and experience in the application of statistical methods in health economics, e.g., parametric survival regression model extrapolation, network meta-analyses, probabilistic sensitivity analyses
Willingness and desire to learn and share knowledge
Strong multi-tasking and time management skills
Highly developed analytical reasoning and problem-solving skills
Ability to work effectively individually and as part of a diverse team

Helpful Experience And Competencies:

Experience with Python, C++ or other programming languages
Experience with the hesim, shiny, Rcpp R packages
Experience with Bayesian statistics and advanced modeling techniques
Knowledge and experience in conducting indirect treatment comparisons such as network meta-analysis, matching-adjusted indirect comparison, and simulated treatment comparison

\n\n\n

#Li-Tb1

#Li-Remote

Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.

","hiringOrganization":{"@type":"Organization","name":"Precision AQ","sameAs":"https://www.precisionaq.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, England, UK","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"Sr. Research Scientist, Pediatrics","datePosted":"2025-09-18","description":"Sr. Research Scientist, Pediatrics - (875093)

Description

WHY UT SOUTHWESTERN?
With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a world-renowned medical and research center, we strive to provide the best possible care, resources, and benefits for our valued employees. Ranked as the number 1 hospital in Dallas-Fort Worth according to U.S. News & World Report, we invest in you with opportunities for career growth and development to align with your future goals. Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more. We invite you to be a part of the UT Southwestern team where you'll discover a culture of teamwork, professionalism, and a rewarding career!

JOB SUMMARY
Works under broad direction to plan, organize, direct, and participate in work of major research project in field of specialization for which incumbent is particularly qualified by virtue of extensive training and experience.

The Research Scientist Senior position is available to focus on investigating genetic and epigenetic mechanisms underlying self-renewal versus differentiation of neural stem cells as well as how dysregulation of the stem-cell regulatory mechanisms leads to benign and malignant tumor formation in the central and peripheral nervous system, particularly in the context of Tumor Suppressor Gene (TSG) syndromes, including neurofibromatosis type 1 (NF1), Li-Fraumeni syndrome, Tuberous Sclerosis Complex, and Adenomatous Polyposis coli (APC).

BENEFITS
UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:

PPO medical plan, available day one at no cost for full-time employee-only coverage
100% coverage for preventive healthcare-no copay
Paid Time Off, available day one
Retirement Programs through the Teacher Retirement System of Texas (TRS)
Paid Parental Leave Benefit
Wellness programs
Tuition Reimbursement
Public Service Loan Forgiveness (PSLF) Qualified Employer
Learn more about these and other UTSW employee benefits!

Experience And Educationrequired

EducationPhD with major coursework in field of assignment or Master's Degree with major coursework in field of assignment
Experience6 years research experience in field of assignment; including at 1 year at the level of Research Scientist or its equivalent with a PhD or 9 years research experience in field of assignment; including at least 2 years at level of Research Scientist or its equivalent with Master's degree

\n\n\n

Preferred

EducationMay consider a Bachelor's degree with major coursework in field of assignment with additional related experience.

Job Duties

Plans, organizes, coordinates, directs, and personally participates in major medical or scientific research project, including development and implementation of research protocols. Selects key research personnel; determines specific goals or objectives to be attained; assigns and reviews work of subordinates.
Reviews and analyzes resulting research data; revises techniques or approaches to work problems as indicated necessary by research data. Compiles, writes, and submits project results to principal investigator or department chairman.
Prepares or assists in preparation of research papers, reports, and abstracts for publication as one of co-authors.
Designs, develops, or adapts equipment used in experiments or research to obtain desired results.
Plans and supervises training of technicians and other laboratory personnel with respect to proper laboratory techniques, use of laboratory equipment, and safety procedures.
Confers with industrial, governmental, or other groups concerning progress or results of research project.
Supervises large group of employees engaged in performance of technical and professional work, which varies from routine to complex laboratory work tasks.
Performs other duties as assigned.

SECURITY AND EEO STATEMENT
Security
This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information. To the extent this position requires the holder to research, work on, or have access to critical infrastructure as defined in Section 113.001(2) of the Texas Business and Commerce Code, the ability to maintain the security or integrity of the critical infrastructure is a minimum qualification to be hired and to continue to be employed in the position.

EEO Statement
UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status.

Primary Location

: Texas-Dallas-5323 Harry Hines Blvd

Work Locations

: 5323 Harry Hines Blvd 5323 Harry Hines Blvd Dallas 75390

Job

: Research & Laboratory

Organization

: 423011 - PD-Hematology and Oncology

Schedule

: Full-time

Shift

: Day Job

Employee Status

: Regular

Job Type

: Standard

Job Posting

: Sep 18, 2025, 11:56:28 AM","hiringOrganization":{"@type":"Organization","name":"UT Southwestern Medical Center","sameAs":"https://www.utsouthwestern.edu/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Texas-Dallas-5323 Harry Hines Blvd","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"Research Scientist, Systems and Infrastructure (PhD)","datePosted":"2025-09-18","description":"Meta is at the forefront of a transformative change in its business and technology, and our research teams are driving this evolution. As a Research Scientist at Meta, you will have the opportunity to work on crucial projects and initiatives that have never been done before, helping to advance the way people connect around the world. You will be responsible for proactively identifying and driving changes as needed for your assigned codebase, product area, and/or systems, building strong cross-functional partnerships, and suggesting, collecting, and synthesizing requirements to create effective feature roadmaps. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist.

As a member of our team, you will have the opportunity to apply your technical expertise to drive innovation and solve complex problems. Your experience with frameworks such as PyTorch, TensorFlow, or equivalent, as well as your ability to translate insights into business recommendations, will be valuable assets in this role. We are looking for individuals who are passionate about building and shipping high-quality work, achieving high reliability, and working independently without guidance.

This is a Software Engineering role, and core responsibilities include coding and applied engineering work. You will be expected to write high-quality, efficient, and maintainable code, and contribute to the development of innovative software solutions. In this role, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and contribute to the development of innovative solutions that push the boundaries of scalable computing. We offer a dynamic and innovative work environment that encourages creativity and experimentation, as well as opportunities for professional growth and development. If you are passionate about driving innovation and advancing the way people connect, we encourage you to apply for this exciting opportunity.Research Scientist, Systems and Infrastructure (PhD) Responsibilities

Proactively identify and drive changes as needed for your assigned codebase, product area and/or systems
Build strong cross functional partnerships and code deliverables
Suggest, collect and synthesize requirements and create effective feature roadmaps
Perform specific responsibilities which vary by team
Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Computer Science, Computer Engineering or relevant technical field. Degree must be completed prior to joining Meta
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
Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent
Proven experience to translate insights into business recommendations
Experience building and shipping high quality work and achieving high reliability
Experience in systems software or algorithms
Experience programming in a relevant language
Experience identifying, designing and completing medium to large features independently, without guidance
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub)
Research and/or work experience in Algorithms, Architecture, Compilers, Databases, Data Mining, Distributed Systems, Infrastructure Systems, Mobile, Networking, Operating Systems, Programming Languages, Security, Cryptography, Storage or other relevant fields
Experience with programming languages such as Python, C, C++
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 NSDI, SREcon, MLSys, PyCon, OSDI, KDD, USENIX Security, ICSE, PLDI, SIGMOD, VLDB, SIGCOMM, SOSP, IMC, OCP, or similar
Knowledge of relational databases and SQL
Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
Interpersonal experience working and communicating cross functionally in a team environment
Exposure to architectural patterns of large scale software applications

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.
$५६.२५/hour to $१,७३,०००/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 | Bellevue, WA | Menlo Park, CA | Seattle, WA | New York, NY","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":31,"item":{"@type":"JobPosting","title":"Research Scientist, Machine Learning (PhD)","datePosted":"2025-09-18","description":"Meta is at the forefront of a transformative change in its business and technology, and our research teams are driving this evolution. As a Research Scientist at Meta, you will have the opportunity to work on crucial projects and initiatives that have never been done before, helping to advance the way people connect around the world. You will be responsible for proactively identifying and driving changes as needed for your assigned codebase, product area, and/or systems, building strong cross-functional partnerships, and suggesting, collecting, and synthesizing requirements to create effective feature roadmaps. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist.

As a member of our team, you will have the opportunity to apply your technical expertise to drive innovation and solve complex problems. Your experience with frameworks such as PyTorch, TensorFlow, or equivalent, as well as your ability to translate insights into business recommendations, will be valuable assets in this role. We are looking for individuals who are passionate about building and shipping high-quality work, achieving high reliability, and working independently without guidance.

This is a Software Engineering role, and core responsibilities include coding and applied engineering work. You will be expected to write high-quality, efficient, and maintainable code, and contribute to the development of innovative software solutions. In this role, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and contribute to the development of innovative solutions that push the boundaries of scalable computing. We offer a dynamic and innovative work environment that encourages creativity and experimentation, as well as opportunities for professional growth and development. If you are passionate about driving innovation and advancing the way people connect, we encourage you to apply for this exciting opportunity.Research Scientist, Machine Learning (PhD) Responsibilities

Proactively identify and drive changes as needed for your assigned codebase, product area and/or systems
Build strong cross functional partnerships and code deliverables
Suggest, collect and synthesize requirements and create effective feature roadmaps
Perform specific responsibilities which vary by team
Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Computer Science, Computer Engineering or relevant technical field. Degree must be completed prior to joining Meta
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
Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent
Proven experience to translate insights into business recommendations
Experience building and shipping high quality work and achieving high reliability
Experience in systems software or algorithms
Experience programming in a relevant language
Experience identifying, designing and completing medium to large features independently, without guidance
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub)
Research and/or hands-on experience in one or more of the following areas: Machine Learning, NLP, Recommendation Systems, Pattern Recognition, Data Mining, Computer Vision, Artificial Intelligence or other relevant fields
Experience with programming languages such as Python, R, MATLAB
Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as KDD, NeurIPS, ICML, WWW, ACL, ICLR, CVPR or similar
Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
Interpersonal experience working and communicating cross functionally in a team environment
Exposure to architectural patterns of large scale software applications

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.
US$56.25/hour to US$173,000/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 | Bellevue, WA | Redmond, WA | Menlo Park, CA | Seattle, WA | Burlingame, CA | New York, NY","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Research Scientist, Imaging Systems and Image Processing (PhD)","datePosted":"2025-09-18","description":"Reality Labs Research (RL-R) brings together a highly interdisciplinary team of researchers and engineers to create the future of augmented/virtual reality and wearable personal AI devices. The Sensors and Systems Research (SSR) team’s goal is to create ultra low power and lightweight photon-to-inference pipelines that enable all-day, always-on contextual AI. The team cultivates an open environment where individuals thrive. We encourage a sense of ownership and embrace the ambiguity that comes with working on the frontiers of research.

As a Research Scientist in SSR, you’ll partner with research scientists, electrical engineers, silicon engineers and others to build novel prototypes integrated with advanced AR/VR/AI devices. You’ll foster scientific explorations and generate viable paths to the consumer products that will connect people in meaningful ways for decades to come. You’ll work on a wide range of technology, from sensor design, bring up, validation to standing up prototypes and system level demonstration and exploration. Together, let’s step into the adventure of a lifetime as we make science fiction real and change the world.Research Scientist, Imaging Systems and Image Processing (PhD) Responsibilities

Contribute to the development of the next-generation imaging systems for wearable AR/VR/AI devices
Collaborate with internal/external image sensor technologists and camera designers to define new sensor features and imaging system functionalities
Develop image processing algorithms based on novel sensor features to achieve significant power consumption reduction and image quality improvement
Develop AI-powered ultra-low-friction camera user interfaces on wearable devices
Collaborate with engineering teams on building imaging system prototypes to demonstrate research goals
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
Currently has, or in the process of obtaining a PhD degree in Computer Science, Electrical Engineering or related field. Degree must be completed prior to joining Meta
Experience in image signal processing
Experience in computer-vision algorithms such as SLAM, hand tracking or 3D reconstruction
Experience in vision-based machine learning algorithms
Experience in imaging system prototyping
Familiar with image sensor architecture and operation
Familiar with lens optics
Proficient in programming languages like C/C++, Python, MATLAB, Torch, etc
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Experience with developing state-of-the-art camera systems for mobile devices
Experience with integrated circuit design
Experience with designing image signal processor (ISP)
Proven track record of achieving significant results, as demonstrated by grants, fellowships, patents, or first-authored publications at leading workshops or conferences (e.g., CVPR, SIGGRAPH, ICCV, ECCV, etc.)

Company Description

Syngenta Seeds is one of the world’s largest developers and producers of seed for farmers, commercial growers, retailers and small seed companies. Syngenta seeds improve the quality and yields of crops. High-quality seeds ensure better and more productive crops, which is why farmers invest in them. Advanced seeds help mitigate risks such as disease and drought and allow farmers to grow food using less land, less water and fewer inputs.

Syngenta Seeds brings farmers more vigorous, stronger, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions.

Syngenta Seeds is headquartered in the United States.

Job Description

Role Purpose

This role focuses on complex business processes and operations within Seed Research & Development. This role will identify inefficiencies and harmonize workflows across global sites in Trialing and nursery. This role will define and implement global KPI s for cost, cycle time, throughput and quality, enabling benchmarking across geographies. This role supports short-term efficiency gains and long-term innovation scalability. The role drives operational efficiency and effectiveness by developing, implementing, and maintaining algorithmic solutions based on Operations Research / Mathematical Optimization techniques.

Accountabilities

Build and implement optimization models, multi-objective and robust optimization techniques.
Design and create user-friendly GUIs (Graphical user interface), reports, and data visualizations to facilitate the execution of data-driven optimization models and scenario comparisons by the end-user.
Identify relevant business KPIs and metrics that drive optimization objectives.
Run simulations to validate optimization models.
Manage projects focused on the development and implementation of optimization solutions to support strategic decisions and day-to-day operations.
Collaborate with various departments and communicate effectively with line-of-business end-users to review current operational systems and business procedures within seeds development, discover pain points, and identify mathematical optimization use-cases.
Prepare management reports that clearly define and analyze issues and recommend solutions to help management make informed decisions.
Discuss and analyze the impact of Operations Research solutions with different stakeholders such as managers and subject matter experts across the various departments.
Follow an agile way of working.
Contribute to the development of technical training offerings and curricula to support effective implementation and awareness of Operations Research capabilities.
Defines the operation research, operation standards and will ensure that all procedures are followed.
Accountable for the results of the operations research projects from respective countries across Tropics
Needs to work very closely with the Trialing, nursery, Germplasm development and the DH teams across Tropics RD organisation.

Qualifications

5+ years demonstrable applied experience in implementation of Operations or lab functions
A proven track record on working in a science-based environment

Critical technical, professional, and personal capabilities

Ability to work in teams and across geographies
Problem-solving skills – identify complex business problems, evaluate the application of Operations Research techniques, and implement decision-support solutions
Experience with programming languages such as C/C++/C#, Python
Some experience in data visualization with Tableau, Power BI, or similar
Strong written and oral English communication skills
Analytical Mind-set

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Discover Your Career At Emory University

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.

Description

The Academic Research Scientist functions as a highly skilled contributor/researcher and has significant authorship on publications and advanced knowledge and expertise of laboratory and experimental platforms necessary to advance basic and/or translational research programs. Staff Scientists will have leadership responsibilities, and will oversee quality and training of other team members.

\n\n

Key Responsibilities:

Duties include designing, developing and conducting research experiments.
Will have expert knowledge and skills specific to the related program and advanced knowledge of methods of analyzing data from experimental platforms.
May assist in grant and other funding applications as necessary and appropriate, or with approval of the responsible faculty director, may have their own research projects and/or have full responsibilities for specific areas of a program.
With approval of the leading Emory faculty member a Scientist may be the principal investigator on grant proposals.
Performs other responsibilities as required.

Additional Job Details:

Administers research programs/studies by: hiring and supervising research personnel; participating in project planning; and developing, implementing and evaluating research protocols, techniques and procedures.
Supervises staff by orienting, training and providing performance feedback.
Provides expertise and training in methodology, basic laboratory procedures and equipment operation.
Prepares and monitors research related budgets.
Assists in developing and submitting grant proposals and in monitoring grant expenditures.
Advises principal investigator of changes in reporting or accounting requirements and assists researchers in meeting requirements.
Develops models for patents, licensing and manufacturing agreements with researchers.
Monitors and enforces the contracts and monetary returns for products developed through research.
Performs a wide range of laboratory tests, specimen preparation and experimental procedures for routine and specialized studies.
Selects or develops effective research methodologies.
Collects and analyzes results of studies and provides interpretation of results.
Co-authors or authors publications based on laboratory research and findings.
Recommends new equipment and supply purchases; investigates equipment malfunctions and schedules maintenance/repair.
Monitors quality control of media, reagents and cleaning procedures and addresses any problems.
Keeps abreast of safety procedures and monitors the handling, storage and disposal of hazardous substances.
Performs related responsibilities as required.
Employees in this classification may be required to work with, take specific precautions against and/or be immunized against potentially hazardous agents.

Principal staff training duties and responsibilities will include: plating of specimens, isolate, identify, freeze and catalog bacteria from clinical and non-clinical specimens; molecular microbiologic testing by PCR, gel electrophoresis, sequencing platforms and related methods; preparing overnight cultures, plates, media and buffers; maintaining laboratory with appropriate biohazard discarding and autoclaving of reusable products; filtration of water and other environmental substrates, sampling methods, entering study-related data into computer databases; maintaining and submitting documentation of laboratory work to principal investigator or designee.

\n\n

Minimum Qualifications:

PhD and two years of professional level experience in a technical or research lab OR master's degree and four years of professional level experience in a technical or research lab OR bachelor's degree and six years of professional level experience in a technical or research lab.
Laboratory experience should be based on area of assignment.
Internship experience or experience prior to attaining the qualifying degree is not considered eligible work experience for this job classification.

Preferred Qualifications:

Significant work experience is a bacteriology wet lab is strongly preferred and experience in veterinary medicine is preferred.
Significant work experience in bacteriology, conventional and real-time PCR, gel electrophoresis and DNA sequence analysis is preferred.
Coursework must have included microbiology and molecular laboratory components.
The applicant should demonstrate effective team management, interpersonal, oral and written communication skills.
Also valued are excellent organizational skills and attention to detail essential, the ability to multi-task, remaining flexible and managing time effectively, able to perform procedures requiring manual dexterity and repetitive motions, have proficiency with personal computers including Microsoft Office, and demonstrate the ability to perform a variety of specialized and complex research and laboratory tests and procedures.

\n\n

NOTE: Position tasks are generally required to be performed in-person at an Emory University location. Remote work from home day options may be granted at department discretion. Emory reserves the right to change remote work status with notice to employee.

Additional Details

Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).

Emory University is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to request a reasonable accommodation, please contact the Department of Accessibility Services at 404-727-9877 (V) | 404-712-2049 (TDD). Please note that one week's advance notice is preferred.

","hiringOrganization":{"@type":"Organization","name":"Emory University","sameAs":"https://www.emory.edu/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta, GA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"Research Scientist / Engineer – Performance Optimization","datePosted":"2025-09-18","description":"

About The Role

The Performance Optimization team at Luma is dedicated to maximizing the efficiency and performance of our AI models. Working closely with both research and engineering teams, this group ensures that our cutting-edge multimodal models can be trained efficiently and deployed at scale while maintaining the highest quality standards.

Responsibilities

Profile and optimize GPU/CPU/Accelerator code for maximum utilization and minimal latency
Write high-performance PyTorch, Triton, CUDA, deferring to custom PyTorch operations if necessary
Develop fused kernels and leverage tensor cores and modern hardware features for optimal hardware utilization on different hardware platforms
Optimize model architectures and implementations for distributed multi-node production deployment
Build performance monitoring and analysis tools and automation
Research and implement cutting-edge optimization techniques for transformer model

Experience

Expert-level proficiency in Triton/CUDA programming and GPU optimization
Strong Pytorch Skills
Experience with PyTorch kernel development and custom operations
Proficiency with profiling tools (NVIDIA Nsight, torch profiler, custom tooling)
Deep understanding of transformer architectures and attention mechanisms
(Preferred) Experience with compilers/exporters such as torch.compile, TensorRT, ONNX, XLA
(Preferred) Experience optimizing inference workloads for latency and throughput
(Preferred) Experience with Triton compiler and kernel fusion techniques
(Preferred) Knowledge of warp-level intrinsics and advanced CUDA optimization
(Preferred) Background in compiler optimization or hardware-software co-design

Compensation

The pay range for this position in California is $180,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.

Your applications are reviewed by real people.

About The Role

The Multimodal Capabilities team at Luma focuses on unlocking advanced capabilities in our foundation models through strategic research into multimodal understanding and generation. This team tackles fundamental research questions around how different modalities can be combined to enable new behaviors and capabilities, working on the open-ended challenges of what makes multimodal AI systems truly powerful and versatile.

Responsibilities

Identify capability gaps and research solutions
Design datasets, experiments, and methodologies to systematically improve model capabilities across vision, audio, and language
Develop evaluation frameworks and benchmarking approaches for multimodal AI capabilities
Create prototypes and demonstrations that showcase new multimodal capabilities

Experience

Strong programming skills in Python and PyTorch
Experience with multimodal data processing pipelines and large-scale dataset curation
Understanding of computer vision, audio processing, and / or natural language processing techniques
(Preferred) Expertise working with interleaved multimodal data
(Preferred) Hands-on experience with Vision Language Models, Audio Language Models, or generative video models

Job Description Summary

The Neuroscience Disease Area at Novartis is looking for a Research Scientist specializing in histology to perform tissue-based analysis in support of discovery and validation of disease relevant targets and pathways at the San Diego campus primarily focusing on gene therapies.

Job Description

#LI-Onsite
Site: San Diego, CA

Key Responsibilities:

Sample receipt, logging and dissection of rodent samples.
Perform standard histology procedures including tissue processing, embedding, sectioning, staining and image capture of formalin-fixed, paraffin-embedded tissues and cell lines.
Perform specialized assays such as immunohistochemistry, immunofluorescence and in situ hybridization.
Carry out automated assays on Ventana Discovery Ultra and Bond RX automated platforms.
Process chromogenic and fluorescent slides for scanning using Leica AT2 and Akoya Vectra Polaris instruments.
Perform image analysis and processing using Indica Labs HALO software.
Generate quantitative data using Graph Pad Prism.
Record all experiments in electronic laboratory notebook.
Participate in study planning with histology scientists and program team lead.

Minimum Requirements:

B.S. degree in biology, molecular biology, or related field.
Demonstrated experience in standard histological techniques.
Experience with automated histology specific equipment is desirable.
Knowledge of microscopy, image analysis and processing
Thorough computer literacy (Word, Excel, PowerPoint and Graph Pad Prism and) is required.

Desirable Qualifications:

Prior experience in tissue-based assays including histology, in situ hybridization, immunohistochemistry, fluorescence applications and microscopy is desirable.
Experience with automated histology specific equipment is desirable.

The salary for this position is expected to range between $60,000 and $112,000 per year.

The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.

US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.

Eeo Statement:

Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Salary Range

$60,600.00 - $112,600.00

Skills Desired

Analytical Skill, Analytical Skill, Analytical Thinking, Anesthesia, Animal Testing, Animal Welfare, Biology, Chemistry, Clinical Pharmacology Skills, Collaboration, Communication Skills, Data, Data Analysis, Decision Making, Design Of Experiments, Detail-Oriented, Ethics, Hypothesis Testing, Laboratory, Lifesciences, Medical Research, Organization, Pain Management, Pharmacology, Problem Solving Skills {+ 7 more}","hiringOrganization":{"@type":"Organization","name":"Novartis","sameAs":"https://www.novartis.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Diego, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":38,"item":{"@type":"JobPosting","title":"Research Scientist - Gene Editing","datePosted":"2025-09-18","description":"

Job Details

Are you interested in working at a cutting-edge research institute located within one of the Top 100 Hospitals in the nation? At ChristianaCare, we are driven by our core values of Love and Excellence, and we are dedicated to delivering health, not just healthcare. Join us at the ChristianaCare Gene Editing Institute!

We are currently seeking a laboratory-based Research Scientist with experience in immune-oncology to join our dynamic, multidisciplinary team focused on developing gene editing tools for therapeutic applications. The successful candidate will conduct investigative studies in the preclinical development and evaluation of therapeutic candidates.

This role involves performing laboratory-based investigations into novel therapeutics for the treatment of solid tumors. The position is critical in supporting Immuno-Oncology projects throughout the drug discovery process. You will leverage your expertise to establish assay systems and deliver impactful datasets for pipeline programs. This includes designing, conducting, and analyzing both in vitro and in vivo experiments to assess the function of candidate drugs and to dissect the mechanisms of action of novel therapeutics that involve the immune system for cancer therapy.

At the ChristianaCare Gene Editing Institute, we explore the potential of CRISPR-directed gene editing for application in oncology. Our mission is to translate innovative research from the lab to clinical practice by using CRISPR technology to improve outcomes for cancer patients.

Qualifications:

Master’s degree with 4-5 years’ experience in molecular biology, biotechnology, cell biology, or a closely related field. PhD with 0-4 years’ experience preferred.
At least two first-author publications in reputable journals are required.
Experience with CRISPR research is a plus, but familiarity with molecular biology and cell techniques is essential. This position involves direct experimentation and bench work centered on mechanisms of gene editing in oncology.

Christianacare Offers:

Full Medical, Dental, Vision, Life Insurance, etc.
Two retirement planning offerings, including 403(b) with company contributions.
Generous paid time off with annual roll-over and opportunities to cash out.
12 week paid parental leave.
Tuition Assistance.
Incredible Work/Life benefits including annual membership to care.com, access to backup care services for dependents through Care@Work, retirement planning services, financial mentorship, fitness and wellness reimbursement, and great discounts through several vendors for hotels, rental cars, theme parks, shows, sporting events, movie tickets and much more!

Annual Compensation Range $73,611.20 - $117,790.40This pay rate/range represents ChristianaCare’s good faith and reasonable estimate of compensation at the time of posting. The actual salary within this range offered to a successful candidate will depend on individual factors including without limitation skills, relevant experience, and qualifications as they relate to specific job requirements.

Christiana Care Health System is an equal opportunity employer, firmly committed to prohibiting discrimination, whose staff is reflective of its community, and considers qualified applicants for open positions without regard to race, color, sex, religion, national origin, sexual orientation, genetic information, gender identity or expression, age, veteran status, disability, pregnancy, citizenship status, or any other characteristic protected under applicable federal, state, or local law.

Post End Date

Oct 19, 2025

Eeo Posting Statement

ChristianaCare offers a competitive suite of employee benefits to maximize the wellness of you and your family, including health insurance, paid time off, retirement, an employee assistance program. To learn more about our benefits for eligible positions visit https://careers.christianacare.org/benefits-compensation/

","hiringOrganization":{"@type":"Organization","name":"ChristianaCare","sameAs":"https://christianacare.org/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"University of Delaware Star Building, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Junior Research Scientist in the Division of Social Science (Data Science) - Dr. Bedoor AlShebli","datePosted":"2025-09-18","description":"

Description

We are seeking researchers who are passionate about Data Science, with an emphasis in Computational Social Science, with a starting date of September 1, 2026. Some of the possible research topics include: (i) social media analysis, (ii) collaboration and teamwork, (iii) gender inequality, (iv) diversity, (v) online controlled experiments, and (vi) network science.

The ideal candidate is self-motivated and hard-working with a Masters degree in Data Science, Computational Social Science, Computer Science, or Information Science, or a bachelor’s degree with several years of experience and expertise in their field. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled experiments is also desired, but not required. Excellent communication skills in English, ability to work in multidisciplinary teams, and scientific creativity are essential.

Selected candidates will be working closely with Bedoor AlShebli, an Assistant Professor in Computational Social Science in the Social Science Division at NYUAD. The selected candidate will receive an appointment for three years. The position provides salary higher than internationally competitive rates for Post-Doctoral / Research Engineering / Research Associate positions, in addition to substantial benefits (generous housing, transportation and travel allowances, educational subsidies for children), together with full health insurance and retirement contributions. The UAE does not levy income tax.

Applications will be accepted on a rolling basis and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, a research statement highlighting past and current research experience, transcript and at least two reference letters, all in PDF format. If you have any questions, please email: Bedoor AlShebli bedoor@nyu.edu.

Working For Nyuad

To help Postdoctoral Associates and faculty thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance to ensure a smooth transition to Abu Dhabi. It includes a competitive salary; housing and transportation allowances; educational assistance for your dependents attending school in the UAE; and access to health and wellness services. Click here for more information on benefits for you and your family

About Nyu Abu Dhabi:

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply.

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.

Sustainability Statement

NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability

","hiringOrganization":{"@type":"Organization","name":"New York University","sameAs":"https://www.nyu.edu/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Abu Dhabi","addressCountry":"United Arab Emirates","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":40,"item":{"@type":"JobPosting","title":"Research Scientist II, Oligonucleotide Chemistry","datePosted":"2025-09-18","description":"

Job Description Summary

This position will be located at the Cambridge site and will not have the ability to be located remotely.
#LI-onsite
Internal Title: Research Scientist II
We are seeking a highly skilled and motivated Research Scientist II to join our dynamic xRNA therapeutics team at our Cambridge site. This role is pivotal in establishing and advancing our oligonucleotide synthesis laboratory. The successful candidate will play a crucial role in synthesizing, purifying, and characterizing therapeutic oligonucleotides, as well as designing novel nucleoside phosphoramidites
Key Responsibilities:
•\tSynthesize, purify, and characterize therapeutic oligonucleotides using automated oligonucleotide synthesizers such as Shasta, K&A, or Mermade
•\tMaintain standard operating procedures (SOPs) for synthesis, processing, and purification of therapeutic oligonucleotides to ensure reproducibility.
•\t Design and synthesize novel nucleoside phosphoramidites for incorporation into therapeutic oligonucleotides

Job Description

Essential Requirements:

Bachelors degree in a scientific discipline with at least 2 years of experience in organic chemistry, particularly in nucleoside & oligonucleotide synthesis, purification and characterization. Master’s degree is preferred.
Familiarity with using automated SPOS (solid phase oligonucleotide synthesis) for therapeutic oligonucleotide synthesis
Proficiency with purifying, analyzing and characterizing therapeutic oligonucleotides with LC/HRMS, RP-HPLC, AEX-HPLC, SEC-HPLC and UV-vis analytics.
Basic understanding of RNA therapeutics and their role in biology
Be a team player prepared to work in a collaborative, fast-paced environment

Desirable Requirements:

Prior experience with oligonucleotide bioconjugation is a plus

The salary for this position is expected to range between $73,500-$136,500/year.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.

To learn more about the culture, rewards and benefits we offer our people click here.

Eeo Statement:

Accessibility and reasonable accommodations

Salary Range

$73,500.00 - $136,500.00

Skills Desired

Analysis, Analysis, Analytical Chemistry, Analytical Skill, Artificial Intelligence (AI), Automated Process, Automation Testing, Chemical Analysis, Chemical Laboratory, Chemical Synthesis, Chemistry, Collaboration, Computer Vision, Curiosity, Data Analytics, Data Science, Deep Learning, Drug Development, Drug Discovery, HPLC (High-Performance Liquid Chromatography), Innovation, Innovative Medicines, Machine Learning (Ml), Medical Research, Pharmaceutical Chemistry {+ 6 more}","hiringOrganization":{"@type":"Organization","name":"Novartis","sameAs":"https://www.novartis.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cambridge (USA), United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":41,"item":{"@type":"JobPosting","title":"Research Scientist","datePosted":"2025-09-18","description":"

Band

Level 2

Job Description Summary

Job Description

#LI-Onsite
Site: San Diego, CA

Key Responsibilities:

Sample receipt, logging and dissection of rodent samples.
Perform standard histology procedures including tissue processing, embedding, sectioning, staining and image capture of formalin-fixed, paraffin-embedded tissues and cell lines.
Perform specialized assays such as immunohistochemistry, immunofluorescence and in situ hybridization.
Carry out automated assays on Ventana Discovery Ultra and Bond RX automated platforms.
Process chromogenic and fluorescent slides for scanning using Leica AT2 and Akoya Vectra Polaris instruments.
Perform image analysis and processing using Indica Labs HALO software.
Generate quantitative data using Graph Pad Prism.
Record all experiments in electronic laboratory notebook.
Participate in study planning with histology scientists and program team lead.

Minimum Requirements:

B.S. degree in biology, molecular biology, or related field.
Demonstrated experience in standard histological techniques.
Experience with automated histology specific equipment is desirable.
Knowledge of microscopy, image analysis and processing
Thorough computer literacy (Word, Excel, PowerPoint and Graph Pad Prism and) is required.

Desirable Qualifications:

Prior experience in tissue-based assays including histology, in situ hybridization, immunohistochemistry, fluorescence applications and microscopy is desirable.
Experience with automated histology specific equipment is desirable.

The salary for this position is expected to range between $60,000 and $112,000 per year.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.

Eeo Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.

Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please send an e-mail to tas.nacomms@novartis.com call +1 (877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

https://www.novartis.com/careers/careers-research/notice-all-applicants-us-job-openings

Salary Range

$60,600.00 - $112,600.00

Skills Desired

Analytical Skill, Analytical Skill, Analytical Thinking, Anesthesia, Animal Testing, Animal Welfare, Biology, Chemistry, Clinical Pharmacology Skills, Collaboration, Communication Skills, Data, Data Analysis, Decision Making, Design Of Experiments, Detail-Oriented, Ethics, Hypothesis Testing, Laboratory, Lifesciences, Medical Research, Organization, Pain Management, Pharmacology, Problem Solving Skills {+ 7 more}","hiringOrganization":{"@type":"Organization","name":"Novartis","sameAs":"https://www.novartis.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Diego, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Associate Research Scientist in the Division of Science (Physics) - Dr. Fernando Quevedo","datePosted":"2025-09-18","description":"

Description

The theoretical physics group in the Science Division of New York University Abu Dhabi, seeks to recruit a Associate Research Scientist to work on theoretical cosmology including string cosmology and the study of fundamental sources of gravitational.

The successful applicant will drive independent research on the main open questions facing theoretical cosmology and support research of young postdoctoral fellows and graduate students. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students.

Applicants must have at least 5 years of research experience after a PhD in theoretical physics and a proven solid record of publications and conference presentations in the field.

The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a one-page summary of research accomplishments and interests, and at least 2 letters of recommendation from established scientists in the field, all in PDF format. The position can start immediately after February 3 2026 and is for an original period of 3 years, renewable to another 3 depending on performance and availability of funds.

About Nyuad:

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply.

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

Sustainability Statement

NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability

","hiringOrganization":{"@type":"Organization","name":"New York University","sameAs":"https://www.nyu.edu/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Abu Dhabi","addressCountry":"United Arab Emirates","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Research Scientist (L4) - Machine Learning and Inference Research, LLM Post-Training","datePosted":"2025-09-18","description":"

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

As Netflix grows, we keep advancing innovations in personalization and discovery, experimentation and decision-making, understanding our members and our titles, and backend infrastructure. These developments constantly create new opportunities for research to drive meaningful impact. By exploring the frontiers of AI/ML and intersecting fields, the Machine Learning and Inference Research team turns these opportunities into tangible benefits for our members and our business.

The Machine Learning and Inference Research team is a dedicated research team building up Netflix’s technical capabilities by tackling fundamental research questions tied to our most important challenges and partnering closely with teams across the business to translate research into impact at scale. As a member of the team, you will leverage your technical expertise to shape roadmaps, collaborate across functions, and bring new ideas from exploration to impact. You will also engage actively with the broader research community by publishing at top venues, presenting at conferences, mentoring interns, and fostering academic collaborations.

We are seeking an early-career researcher who can grow to define and execute a strong research agenda with both internal and external visibility, disseminate knowledge effectively and inspire others, collaborate with colleagues to deliver tangible impact, and help foster an open environment of innovation, intellectual rigor, and curiosity.

What You Bring

Ph.D. in Computer Science or a related field with a specialization in post-training LLMs for downstream tasks, especially using RL (e.g., RLVR, RLHF, offline or online, policy- or value-based), and possibly also including reasoning, alignment, distillation/compression, tool use, memory, calibration, or related.
A track record of top-tier publications demonstrating deep expertise in the specialization.
Passion for collaboration and for building strong relationships to tackle big, cross-functional problems.
Strong technical communication skills, with the ability to adapt to different audiences.
Self-motivated with an ability to thrive and to lead with minimal oversight and process.
Curiosity and judgment in identifying and framing ambiguous research and business problems, and connecting the two.
Eagerness to elevate the broader organization through sharing knowledge and guiding the adoption of new methods.

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.

Netflix has a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

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Job Description

Vertex is a global biotechnology company that invests in scientific innovation to create transformative medicines for people with serious diseases. The company has approved medicines that treat the underlying causes of multiple chronic, life-shortening genetic diseases — cystic fibrosis, pain, sickle cell disease and transfusion-dependent beta thalassemia — and continues to advance clinical and research programs in these diseases. Vertex also has a robust clinical pipeline of investigational therapies across a range of modalities in other serious diseases.

The Principal Research Scientist will focus on targeted drug delivery including nucleic acid therapies. This role will be on-site in our state-of-the-art research site in San Diego. The successful candidate will have extensive expertise in receptor biology and targeted delivery in extrahepatic tissues/cells which is instrumental in the development of novel therapeutics.

Key Duties And Responsibilities:

Develop and implement strategic plans for receptor & ligand identification, characterization, optimization, and application in drug discovery.
Responsible for executing research plans, collecting and interpreting data, trouble shooting, and defining next steps.
Collaborate with cross-functional partners (medicinal chemistry, computational genomics, molecular and cellular biology, pharmacology, protein sciences) to support integrated drug discovery programs from target validation through lead optimization.
Apply innovative approaches and stay current with advances in receptor biology, ligand discovery, and nucleic acid therapeutics to strengthen pipeline opportunities.
Prepare and present data in project team meetings, contributing scientific insight and recommendations to guide program strategy.
Maintain high standards of scientific rigor, accurate documentation, data integrity, and compliance with regulatory guidelines.

Knowledge And Skills:

Strong expertise in receptor biology, ligand–receptor interactions and signaling mechanisms.
Hands-on experience with biochemical, biophysical, and/or cell-based assays to study receptor function and behavior.
Experience with ligand-mediated delivery into specific tissues or cell types is highly desirable.
Demonstrated track record of scientific achievement (e.g., publications, presentations, or contributions to therapeutic programs) in receptor biology and targeted drug delivery.
Ability to collaborate effectively within multidisciplinary project teams.
Excellent personal and communication skills, with the ability to influence stakeholders and drive decision-making across functions.
Proven ability to thrive in a fast-paced, multidisciplinary, and innovative environment

Education And Experience:

Ph.D. (or equivalent degree) in biology, biochemistry or related science and 4-7 years of relevant post-doctoral employment experience, or
Master’s degree (or equivalent degree) in biology, biochemistry or related science and 7+ years of relevant employment experience, or
Bachelor’s Degree (or equivalent degree) in biology, biochemistry or related science and 10+ years of relevant employment experience

#Li-Km1

#Li-Onsite

Pay Range:

$136,000 - $204,000

Disclosure Statement:

Flex Designation:

On-Site Designated

Flex Eligibility Status:

In this On-Site designated role, you will work five days per week on-site with ad hoc flexibility.

Note: The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time.

Key Responsibilities

Leadership & Strategy

Develop and execute a strategic vision for the Flow Cytometry Core in alignment with institutional goals.
Evaluate emerging technologies and implement new capabilities to meet evolving research needs.
Serve as the primary scientific and administrative leader of the facility, reporting regularly to institutional leadership.

Scientific & Technical Oversight

Provide expert consultation to investigators on experimental design, panel development, sample preparation, and data analysis.
Supervise and train staff in advanced flow cytometry and cell sorting techniques.
Maintain and troubleshoot complex instruments, ensuring optimal performance and reliability.
Evaluate and introduce new methodologies, workflows, and analysis tools.

Operations & Management

Oversee scheduling, billing, and utilization tracking for instrumentation and services.
Develop and implement SOPs to ensure consistency, quality, and reproducibility of results.
Manage facility budget, including forecasting, cost recovery models, and external recharge mechanisms.
Ensure compliance with biosafety, animal care, and institutional policies regarding core use.

Collaboration & Outreach

Build strong relationships with internal and external investigators to expand the user base.
Organize seminars, workshops, and training sessions to educate and engage users.
Collaborate with other core facilities to enable integrated research approaches.

Compliance & Safety

Ensure adherence to institutional, state, and federal regulations, including biosafety and data integrity standards.
Maintain appropriate documentation for quality assurance, audits, and inspections.

Qualifications

Education

PhD in Immunology, Cell Biology, Biomedical Engineering, or related field strongly preferred

Experience

Minimum 5–10 years of hands-on experience in flow cytometry and advanced cell sorting.
At least 2–5 years of leadership or core facility management experience.
Proven track record in staff supervision, training, and mentorship.
Demonstrated success in developing new technologies, services, or programs within a research environment.

Skills & Competencies

Deep expertise in multicolor flow cytometry, high-parameter analysis, and data interpretation.
Strong organizational, budgetary, and project management skills.
Ability to communicate effectively with faculty, trainees, staff, and institutional leadership.
Collaborative mindset with the ability to foster partnerships across departments.

Required Education and Experience
PhD or M.D. in Molecular or Cellular Biology, Biochemistry, or other closely related field.\nMinimum of four (4) years experience in required field of specialization.\nPrior experience with laboratory management or other relevant research field.

Required Credentials
N/A.

Preferred
Prior teaching experience.\nExperience with all routine cellular and molecular experimental procedures.\nExperience with molecular biology techniques (Northern, Western, Southern, PCR and InSitu Hybridization techniques).\nExperience with statistics and relevant computer programs.\nExperience writing and editing manuscripts.

Compensation Range

$104,797.00 - $157,195.00 per year

Salary Information

This compensation range was calculated based on full-time employment (2080 hours worked per calendar year). Offers are determined by multiple factors including equity, skills, experience, and expertise, and may vary within the range provided.

Disclaimer for Out of State Applicants

This compensation range is specific to Seattle, positions located outside of Seattle may be compensated differently depending on various factors.

Benefits Information

Seattle Children’s offers a generous benefit package, including medical, dental, and vision plans, 403(b), life insurance, paid time off, tuition reimbursement, and more. Additional details on our benefits can be found on our website www.seattlechildrens.org/careers/benefits.

About Us

Hope. Care. Cure. These three simple words capture what we do at Seattle Children’s – to help every child live the healthiest and most fulfilling life possible. Are you ready to engage with a mission-driven organization that is life-changing to many, and touches the hearts of all? #HOPECARECURE

As one of the nation's top five pediatric research centers, Seattle Children's Research Institute is dedicated to providing hope, care, and cures to help every child live the healthiest and most fulfilling life possible.

Our investigators are involved in hundreds of projects that cover every phase of research, from studying how diseases work to improving investigational therapies. They have pioneered groundbreaking cystic fibrosis treatments and cutting-edge cancer therapies that help a child's immune system defeat cancer, and made other major contributions to pediatric medicine.

Researchers work in close collaboration with one another, their colleagues at partner institutions including the University of Washington and Fred Hutch and our healthcare providers at Seattle Children's Hospital, one of U.S. News & World Report’s top children's hospitals. This collaboration is one of our key strengths, allowing our faculty to draw on a variety of disciplines and techniques as they pursue solutions to some of medicine's most complex problems.

We are committed to not only treating disease but to eliminating it. Help us achieve our vision of being a worldwide leader in pediatric research aimed to improve the health and well-being of children. If you are interested in a challenging career aimed at groundbreaking research, Seattle Children's Research Institute is the place for you.

Our Commitment

Seattle Children’s welcomes people of all experiences, backgrounds, and thoughts as this is what drives our spirit of inquiry and allows us to better connect with our patients and families. Our organization recruits, employs, trains, compensates, and promotes based on merit without regard to 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.

The people who work at Seattle Children’s are members of a community that seeks to respect and celebrate all the qualities that make each of us unique. Each of us is empowered to be ourselves.

Seattle Children’s is proud to be an Equal Opportunity Workplace and Affirmative Action Employer.

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Job Title

Temporary Research Scientist

Location

Worcester

Department Name

Biomedical Engineering - JM

Division Name

Worcester Polytechnic Institute - WPI

Job Description Summary

Seeking to fill a temporary Research Scientist position to work in the Functional Biomaterials Lab at WPI on drug delivery research using silk fibroin and metallic nanomaterials.

Job Description

The role will also include training and support of ongoing research personnel. Applications should have extensive experience evidenced by completed PhD level research focusing on processing silk fibroin into various form factors for biomedical applications.

This is a grant funded, on-site maximum 10 hours per week position.

To apply, please submit a resume for consideration.

Flsa Status

United States of America (Non-Exempt)

WPI is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. It seeks individuals from all backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making. It is committed to maintaining a campus environment free of harassment and discrimination.

","hiringOrganization":{"@type":"Organization","name":"Worcester Polytechnic Institute","sameAs":"https://www.wpi.edu/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Worcester, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"Research Scientist, Wireless Connectivity","datePosted":"2025-09-18","description":"Are you passionate about solving complex wireless challenges that impact millions of customers? Join Amazon's Device Connectivity team who are revolutionizing how wireless technology shapes the future of consumer electronics.

As a Wireless Research Scientist, you'll be at the forefront of developing solutions that enhance the connectivity and reliability of millions of customer devices. Your expertise will drive the creation of next-generation wireless technologies, from concept to implementation, directly shaping the future of Amazon's product ecosystem.

In this role, you'll tackle complex electromagnetic challenges head-on, leveraging your analytical prowess and deep understanding of wireless principles. You'll collaborate with world-class scientists and engineers, applying machine learning and statistical analysis to optimize system performance and create scalable, cost-effective solutions for mass production.

Your impact will extend beyond the lab, as you transform research concepts into practical features that delight our customers. You'll influence product roadmaps, drive critical technical decisions, and play a key role in accelerating our product development lifecycle.

Key job responsibilities
As a Wireless research scientist, you will use your experience to initiate wireless design, development, execution and implementation of scientific research projects. Working closely with fellow hardware dev, scientists and product managers, you will use your experience in modeling, statistics, and simulation to design new hardware, customer modeling and evaluate their benefits and impacts to cost, connectivity use cases, reliability, and speed of productization
Ability to work and connect concepts across various engineering fields like EMC design, desense, antenna, wireless communication and computational electromagnetics to solve complex and novel problems
Experience in combinatorial optimization, algorithms, data structures, statistics, and/or machine learning that can be leveraged to develop novel wireless designs that can be integrated and mass produced on products.
This position requires superior analytical thinking, and ability to apply their technical and statistical knowledge to identify opportunities for wireless/EM applications. You should be able to mine and analyze large data, and be able to use necessary programming and statistical analysis software/tools to do so.
Ability to leverage ML techniques for design optimization and performance modeling that influence technology integration and productization of novel consumer products.

A day in the life
Invent
•\tYou invent and design new solutions for scientifically-complex problem areas and identify opportunities for invention in existing or new business initiatives.
•\tYou expertly frame the scientific approach to solve ambiguous business problems, distinguishing between those that require new solutions and those that can be addressed with existing approaches.
•\tYou focus on business and customer problems that require scientific advances at the product level. Your research solutions set a strong example for others. You work efficiently and routinely delivered the right things.
•\tYou show good judgment when making trade-offs between short- and long-term customer, business, and technology needs.
•\tYou drive your team’s scientific agenda by proposing new initiatives and securing management buy-in.
•\tYou lead the writing of internal documents or external publications when appropriate for your team and not precluded by business considerations.
•\tYour work consistently delivers significant benefit to the business. What you deliver could be functional, such as a software system or conceptual, such as a paper that advances scientific knowledge in a specific field or convinces the business to focus on a particular strategy.
Implement
•\tYou are self-directed in your daily work and require only limited guidance for confidence checks.
•\tYou define and prioritize science or engineering specifications for new approaches.
•\tYou independently assess alternative technologies or approaches to choose the right one to be used by your system or solution with little guidance. You may own the delivery of solutions for an entire business application.
•\tYou ensure accuracy in your process abstractions, models, and simulation results.
•\tYour solutions are inventive, maintainable, scalable, extensible, accurate, and cost-effective (e.g., you know where to extend or adapt methods).
•\tYour solutions are creative and of such a high quality that they can be handed off with minimal rework.
Influence
•\tYou are a key influencer in team strategy that impacts the business. You make insightful contributions to team roadmaps, goals, priorities, and approach.
•\tYou build consensus on larger projects and factor complex efforts into independent tasks that can be performed by you and others.
•\tYou actively recruit and help others by coaching and mentoring in your organization (or at your location).
•\tYou are involved and visible in the broader scientific communities (internal or external) as a subject matter expert. For example, you may give guest lectures, review scientific work of others, serve as a Program Committee member in conferences, or serve as a reviewer for journal publications.
•\tYou contribute to the broader internal and external scientific communities.

About the team
Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced innovative devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create?

Basic Qualifications

- PhD, or Master's degree and 4+ years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience analyzing both experimental and observational data sets

Preferred Qualifications

- Knowledge of R, MATLAB, Python or similar scripting language
- Experience with agile development
- Experience building web based dashboards using common frameworks

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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Company Description

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.

As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Big Data Visual Analytics, Explainable AI (XAI), Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions.

Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, SIGGRAPH, TVCG.

Job Description

As a Lead Research Scientist specializing in Generative AI for 3D Computer Vision, drive innovation at the intersection of GenAI and spatial perception. Lead research and engineering efforts to develop next-generation AI systems for applications in automated driving, industrial automation, and embodied AI. Key responsibilities include:

Lead research and development in generative AI and 3D computer vision to enable embodied intelligence across domains such as ADAS/AD, robotics, and industrial automation.
Advance 3D perception capabilities by integrating large-scale vision-language-action models, enhancing reasoning, explainability, and open-world understanding.
Architect and implement scalable solutions, translating cutting-edge research into robust, real-world systems within Bosch’s platforms.
Collaborate cross-functionally with global research and engineering teams to ensure seamless technology transfer and system integration.
Stay at the forefront of innovation by actively engaging with academic and industry communities through conferences, workshops, and technical events.

Contribute to intellectual property through high-impact publications and patent submissions, shaping the future of generative 3D AI technologies.

Qualifications

Basic Qualifications

Ph.D. in Computer Science with minimum 3 years industry experience after graduation.
5+ years of R&D experience, or an equivalent graduate research background, primarily in AI technologies including 3D Computer Vision, Automotive Motion, Behavioral Planning, etc.
3+ years of Technical Leadership experience
Proficiency in one or more programming languages commonly used in machine learning (e.g., Python, C++, Rust) and major machine learning frameworks like PyTorch
Hands-on experience in computer vision and deep learning, with a strong focus on at least two of the following areas: multimodal transformers or VLMs, multimodal language models, diffusion models, NeRF or gaussian splatting, VLA modeling, 3D scene understanding, sensor calibration, autonomous driving, SfM, behavior modeling / prediction, voxel/BEV grid-based feature representation.
Strong interpersonal, communication, and teamwork capabilities.

Preferred Qualifications

Publication record in top venues including CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, SIGGRAPH, TVCG.
Industry experience with building E2E systems and world models for ADAS development.
Experience in working with hardware systems including sensors such as cameras, depth sensors, IMU, LIDAR, etc.
Strong background in math and statistics.
Able to work independently, has strong research and problem-solving skills.
Good communication and teamwork skills

Additional Information

Your well-being matters at Bosch! We offer a competitive compensation and a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. We're investing in your success!

Equal Opportunity Employer, including disability / veterans

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.

The U.S. base salary range for this full-time position is $180,000 - $ 210,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your Recruiter can share more details about the specific salary range for this position during the interview process.

#Li-Jm1

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Snapshot

At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. We are seeking a highly motivated Research Scientist to join our team and contribute to groundbreaking research that will focus on what comes after Artificial General Intelligence (AGI). Key questions include the trajectory of AGI to artificial superintelligence (ASI) and the impact of AGI on the foundations of human society.

The Role

We are seeking a Research Scientist to explore the profound impact of what comes after AGI. Key responsibilities include defining critical research questions within these domains, collaborating with cross-functional teams to develop innovative solutions, and conducting experiments to advance our mission.

Key Responsibilities

Spearhead research projects exploring the influence of AGI on domains such as economics, law, health/wellbeing, AGI to ASI, and education.
Develop and conduct in-depth studies to analyze AGI's societal impacts across key domains.
Engage in collaborative efforts with cross-functional teams, including external partners, to drive research forward.
Dive deep into specific areas to improve our understanding of the impact of AGI, and create the map of potential outcomes.
Build and refine measurement infrastructure and evaluation frameworks for a systematic evaluation of AI's societal effects.

About You

We seek out individuals who thrive in ambiguity and are eager to contribute to evolving projects. We frequently develop innovative solutions and adapt to changing priorities, so flexibility is essential.

In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:

A PhD degree in one of the following areas: computer science, mathematics, machine learning, political science, sociology, philosophy, economics
Knowledge of machine learning and statistics
Proven experience working with Large Language Models (LLMs)
Ability to identify core research questions
A passion for Artificial Intelligence
Great communication skills and proven interpersonal skills
Strong interest in ensuring AI development benefits humanity
Expertise in one or more of our focus areas (e.g. economics, law, health/wellbeing, AGI to ASI, education)
Committed to creating real-world impact from research

In addition, the following would be an advantage:

Experience in applying experimental ideas
Developing new methodological approaches when needed
Cross-functional collaboration experience, including across timezones
Effectively communicating findings to diverse audiences

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Application deadline: Friday, 26th September at 9:00am BST

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BlueHalo, an AV Company has an opportunity available for a Research Scientist to join our ceramics and composites team at the Air Force Research Laboratory (AFRL). The position focuses on additive manufacturing (AM) of ceramic materials; primary research responsibilities include development and characterization of ceramic composite feedstock, printing of complex structures, thermal treatment/sintering, and relevant mechanical and environmental testing. The ideal candidate will have a background in additive manufacturing, with an emphasis on processing science and characterization. The position requires working closely with government and contract researchers within the research team and with other research teams. We are particularly interested in a highly motivated, adaptable, and capable individual with a Ph.D. in Materials Science, Mechanical Engineering, Physics, or related fields.

Requirements:

Ph.D. (or to be completed in next 6 mos.) in Materials Science & Engineering, Mechanical Engineering, Ceramic Engineering or a related field
0-3 years' experience
Ability to learn and develop new approaches and techniques
Excellent oral and written communication skills
This position will require a self-motivated individual with good interpersonal skills and careful attention to details
Adaptable to varying program objectives
This position is working within a government facility and requires U.S. Citizenship

Desired Qualifications:

Knowledge of ceramic matrix composites.
Expertise in additive manufacturing.

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Associate Research Scientist in the Division of Science (Physics) - Dr. Fernando Quevedo

Research Scientist (L4) - Machine Learning and Inference Research, LLM Post-Training

Molecular and Cell Biology Principal Research Scientist, Targeted Drug Delivery

Research Scientist IV, Supervisor

Temporary Research Scientist

Research Scientist, Wireless Connectivity

Lead Research Scientist- GenAI for 3D Computer Vision

Research Scientist, Post-AGI Research

Research Scientist: Ceramic Additive Manufacturing