Back to jobs

Postdoctoral Researcher – Integrative Genetics and Multi-Omics Data Science

USA - Massachusetts - Cambridge (320 Bent Street)

Pay
$82,000–92,000/yearAnnual period assumed · Location-specific pay — pay source
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.
Read the full posting
Work setup
Unconfirmed
Employment
Unconfirmed

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
VISA Sponsorship:
Read the full posting
Apply at Merck

What you’ll work on

Full posting
  • 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.

From the employer’s posting
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.
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.
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.

What you’ll bring

All qualifications

Core experience

  • 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.

Preferred experience

  • 10/12/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date.
Qualification wording
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.
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.
Education & alternatives
Education Minimum Requirement: - Must currently hold a PhD OR - Receive a Ph.D. no later than spring 2027
- 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.
- 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:

Tools in this posting

  • Python
  • R
  • AWS
Source — Tool mentions in context
- 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.
- 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.

Job description

View original posting ↗

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:

EEOC Know Your Rights

EEOC GINA Supplement​

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.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on msd.wd5.myworkdayjobs.com. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
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.
Location & working pattern

USA - Massachusetts - Cambridge (320 Bent Street)

Working pattern and location restrictions need checking in the full posting.

Work authorization
Domestic VISA Sponsorship: Yes
Status in our records
Active
First seen by us
Sep 30, 2026
Recorded sightings
29
Last seen by us
Oct 9, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.