Job Description

The Precision Genetics group within Data, AI and Genome Sciences (DAGS). Our department is recruiting a Senior Director, who will serve as the Computational Biology lead for Cardiometabolic Drug Discovery Data Science. We are seeking an experienced computational biologist with a proven track-record in applying human genetics to generate target/biomarker hypotheses and patient stratification strategies. This role will lead a team of bioinformaticians and data scientists to apply cutting edge AI/ML approaches to leverage our Company’s investments in human genetics and other multimodal data to support drug discovery in the cardiometabolic disease space. This work will help to inform discovery, translational medicine, companion diagnostics and clinical research. The Senior Director will also serve as a strategic partner to our discovery colleagues in Cardiometabolic Discovery Research. This is a hands-on leadership role, implementing rigorous data analysis practices, aligning resources based on scientific priorities, and mentoring and developing team members, as well as operate in a highly collaborative environment, partnering with peers across multiple locations and in the broader scientific community.

In this exciting role, you will:

Manage, mentor and hire outstanding team members responsible for creating an end-to-end computational biology strategy and support discovery programs in Cardiometabolic diseases
Create the strategy and process for evaluating therapeutic targets and precision biomarkers from the perspective of genetics, causal disease biology drawing upon a combination of public and proprietary resources
Collaborate with scientists and clinicians to create the data science strategy for Cardiometabolic disease targets in discovery, being innovative and foreseeing the path to clinical trial
Leverage scRNASeq to contextualize target gene expression in the context of cell- types, disease biology and cardiac phenotypes
Evaluate opportunities across potential indications using diverse data sources
Stay up to date on the application of AI/ML to cardiometabolic drug discovery strategy to prioritize target portfolio based on biological insightsPublic
Proactively identify biomarker discovery strategies to support discovery program and generate patient stratification strategies using cutting edge AI/ML methods
Communicate complex AI/ML strategies and insights derived from biological data to stakeholders via compelling visualization using state-of-the-art best practice
Identify appropriate public data sources to facilitate and augment AI/ML model building
Tackle complex projects, anticipate, and overcome challenges, and forecast timelines for deliverables to support pipeline objectives
Supervise the work of junior colleagues when appropriate
Collaborate with experimental scientists in a matrixed environment to develop research plans, optimize resource allocation, and maximize efficiencies to best execute on programs
Clearly communicate results to project teams, our company's scientific community, and the external scientific community through internal documents, presentations, and publications in leading journals

Qualifications:

Education:

Ph.D. in computational biology or related field and a minimum of 10 years of combined research experience in academia/pharma

Required Experience and Skills:

Proven track record working in a cardiometabolic computational team
Prior experience mentoring or developing junior data scientists
Hands-on experience in integrating data from genetics, proteomics, single-cell transcriptomics and high-dimensional molecular data to derive insights into causal disease mechanism
Ability to code in R/Python and establish best practices for reproducible data analyses
Strong ability to work and influence in complex matrixed organizations
Excellent oral and written communication skills
Ability to establish and maintain productive cross-site and high caliber external collaborations

Preferred Experience and Skills:

Experience is establishing academic and consortia partnerships
Familiarity with animal models of cardiometabolic diseases
Familiarity with CRISPR approaches for target validation

#EligibleforERP

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

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We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts

U.S. Hybrid Work Model

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.

The salary range for this role is

$231,400.00 - $364,200.00

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.

The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.

You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:

Regular

Relocation:

Domestic/International

VISA Sponsorship:

Yes

Travel Requirements:

10%

Flexible Work Arrangements:

Not Applicable

Shift:

1st - Day

Valid Driving License:

No

Hazardous Material(s):

No

Required Skills:

Biomarkers, Cardiometabolic, Computational Biology, Data Analysis, Data Science, Diabetes Research, Heart Failure Treatment, Leadership, Machine Learning, Obesity, Patient Stratification, Proteomics, Python (Programming Language), Transcriptomics

Preferred Skills:

Job Posting End Date:

09/30/2025

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

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