Merck Posted October 4, 2026

Postdoctoral Researcher – Integrative Genetics and Multi-Omics Data Science

Cambridge, Massachusetts, United States of America FULL_TIME
Biostatistics & Data Science Intern/Fellow/Postdoc
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Merck is the source of truth for this posting and owns the application process. We surface normalized context and market comparison you won't find on the original listing.

About this opportunity

Job Description

We are seeking a highly motivated and innovative postdoctoral researcher to join the Precision Genetics group within the Data, AI and Genome Sciences (DAGS) department at our company. The successful candidate will develop and apply scalable computational and statistical methods for biobank-scale multi-modal data analysis and biomarker discovery, integrating human genetics, proteomics, electronic health record (EHR) data, and other large-scale clinical and molecular datasets. The role will also involve developing genetics-informed causal modeling frameworks by integrating human genetics and genomics data with perturbation-based sequencing datasets in close collaboration with the Genome Science group, with co-mentorship across teams. This unique role aims to uncover causal gene–pathway–disease relationships, identify disease- and target-associated biomarkers, and advance translational research across multiple therapeutic areas.

Key Responsibilities

Develop scalable computational pipelines for integrating genetics, proteomics, EHR, and other biomedical datasets to support target and biomarker discovery.

Develop robust statistical and computational methods for causal modeling by integrating human genetics, genomics, and perturbation datasets.

Analyze biobank-scale datasets and support interpretation of associations and candidate biomarker signals.

Track cutting-edge computational and statistical methods in statistical genetics and computational biology, and proactively propose and pilot innovative ideas and approaches.

Collaborate closely with wet-lab scientists and cross-functional computational teams.

Communicate findings effectively through peer-reviewed publications, internal and external presentations, and collaborative meetings within the department and across functions in our company.

Education Minimum Requirement:

Must currently hold a PhD OR

Receive a Ph.D. no later than spring 2027

Ph.D. in Statistics, Biostatistics, Statistical Genetics, Genetic Epidemiology, Computational Biology, Bioinformatics, Computer Science, Mathematics, or a related quantitative field.

Required Qualifications:

Demonstrated experience working with large-scale biobank or consortium phenotypic, genetic, genomic, and biomarker datasets such as UK Biobank, Our Future Health, All of Us, FinnGen, etc..

Demonstrated experience analyzing large-scale omics datasets, including whole-genome sequencing (WGS), genome-wide genotyping data, transcriptomics, proteomics, or other molecular data types.

Hands-on experience applying and/or developing statistical genetics methods such as GWAS, QTL mapping, polygenic scores, etc.

Proficient programming skills in R and/or Python for data analysis, statistical modeling, and pipeline development.

Cloud platforms (e.g., AWS) or HPC environments, including parallel computing, job scheduler, and scalable workflow design.

Excellent written and oral communication skills, with a demonstrated ability to publish methodological papers or innovative applications in statistical genetics, computational biology, or related fields.

The salary range for this role is: $82,000- $92,000

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.

Required Skills:

Bioinformatics, Biomarker Discovery, Computational Biology, Genetic Analysis, Genetic Epidemiology, Genomics, Human Genetics, Omics, Proteomics, Statistical Genetics, Transcriptomics

Preferred Skills:

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

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

VISA Sponsorship:

Yes

Travel Requirements:

10%

Flexible Work Arrangements:

Not Applicable

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

N/A

Job Posting End Date:

10/12/2026 *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.

Requisition ID:R416259

Job details

Seniority
Intern/Fellow/Postdoc
Function
Biostatistics & Data Science
Therapeutic area
Not listed
Location
Cambridge, Massachusetts, United States of America
Employment type
FULL_TIME

How this role compares

Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.

We currently track 25 comparable Intern/Fellow/Postdoc Biostatistics & Data Science roles across 10 biopharma companies.

25Comparable roles tracked
24Currently active
10Companies hiring similar roles
3Countries represented

Salary context

6 of 25 peers report a salary range (USD, annualized)

Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.

This roleSubject $82,000/yr – $92,000/yr
Lowest disclosed · 2027 Future Talent Program - Data Science - Intern · Merck $39,908/yr – $111,111/yr
Highest disclosed · Advisor - Project Statistician in Product Development · Lilly $153,000/yr – $246,400/yr
Peer group range $75,510 – $199,700 (median $146,675)

Where these roles are based

Top locations among the 25 comparable roles

United States22
Switzerland2
Germany1

Seniority mix

25 of 25 peers have a known seniority level

Intern/Fellow/Postdoc20
Associate5

Therapeutic area mix

0 of 25 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

No peers with a known therapeutic area yet.

Similar opportunities

The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.

60%similar
Novartis Intern/Fellow/Postdoc
Same function Same seniority Same country

Open in 2 locations

Cambridge (USA), United StatesSan Diego, United States
60%similar
Johnson & Johnson Cincinnati, United States Intern/Fellow/Postdoc
Same function Same seniority Same country
60%similar
Johnson & Johnson Cincinnati, United States Intern/Fellow/Postdoc
Same function Same seniority Same country
60%similar
Merck West Point, Pennsylvania, United States of America Intern/Fellow/Postdoc
Same function Same seniority Same country
60%similar
Merck Rahway, New Jersey, United States of America Intern/Fellow/Postdoc
Same function Same seniority Same country
60%similar
Amgen Inc. Remote, United States Intern/Fellow/Postdoc
Same function Same seniority Same country

Notify me about similar jobs

Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.

How we calculate "similar"

No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.

Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.

60%
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Function Therapeutic area Seniority Country
60%
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Function Therapeutic area Seniority Country
60%
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Function Therapeutic area Seniority Country
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Function Therapeutic area Seniority Country
Unmatched or unknown dimensions score exactly the same: 0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.