Postdoctoral Researcher – Integrative Genetics and Multi-Omics Data Science

Merck (MSD)
Location
USA - Massachusetts - Cambridge (320 Bent Street)
Job Type
Full-time
Posted
October 1, 2026
Views
11
Salary Range
$82k - $92k USD

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

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

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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.

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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

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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.

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Frequently Asked Questions

Where is the job located, and is it remote/hybrid/on-site?
The position is located on-site at Merck (MSD) in USA - Massachusetts - Cambridge (320 Bent Street). Flexible work arrangements are not applicable for this role.
What are the required qualifications and education for this role?
Candidates must hold a PhD or receive one by spring 2027 in Statistics, Computational Biology, or a related quantitative field. Required experience includes working with large-scale biobank datasets, analyzing omics data, applying statistical genetics methods (like GWAS), programming in R and/or Python, and working in cloud/HPC environments.
What are the key responsibilities of this postdoctoral position?
You will develop computational pipelines and statistical methods for integrating genetics, proteomics, EHR, and perturbation datasets. You will analyze biobank-scale datasets, collaborate with wet-lab and computational teams, propose innovative approaches, and communicate findings through peer-reviewed publications and presentations.
What is the salary range for this position?
The salary range for this role is $82,000 - $92,000. The final salary is determined by factors such as education, qualifications, experience, and skills. The successful candidate may also be eligible for an annual bonus and long-term incentives.
Are visa sponsorship and relocation support offered?
Yes, visa sponsorship is available for this position. Domestic relocation support is also offered.
What benefits does the company provide?
Merck offers a comprehensive benefits package including medical, dental, and vision healthcare insurance for employees and their families. It also includes retirement benefits like a 401(k), paid holidays, vacation, and compassionate and sick days.
What is the application deadline for this job posting?
The job posting end date is 10/12/2026. You must submit your application no later than 11:59:59 PM on the day before this listed date (10/11/2026).

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Job Information

Source: manual
AI Relevance: 95/100 (Highly relevant)
Remote Type: onsite
Allowed Locations: Worldwide
Skills & Tags:
merck (msd) bioinformatics computational biology genomics statistical genetics GWAS data science biostatistics clinical proteomics

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