Postdoctoral Researcher - Integrative Genetics and Multi-Omics Data Science

HireLifeScience; Cambridge (MA); On-site; USD 82,000 - 92,000; Full time

Benefits offered by this job

Medical insurance

Retirement benefits

Job summary

HireLifeScience seeks a highly skilled postdoctoral researcher in the Precision Genetics group to develop scalable computational methods for biobank-scale data analysis and biomarker discovery. You will integrate human genetics, proteomics, EHR, and other datasets to uncover causal gene-pathway-disease relationships and support translational research across therapeutic areas.

The role involves collaboration with genome science and wet-lab teams, publication in methodological or applied venues,

Qualifications

• PhD in Statistics, Biostatistics, Statistical Genetics, Genetic Epidemiology, Computational Biology, Bioinformatics, Computer Science, Mathematics, or a related quantitative field.
• Experience with large-scale biobank/genetic datasets (e.g., UK Biobank, All of Us, FinnGen).
• Experience analyzing omics datasets (WGS, genotyping, transcriptomics, proteomics).
• Proficient in statistical genetics methods (GWAS, QTL mapping, polygenic scores).
• Proficient in R and/or Python for data analysis.
• Experience with cloud platforms or HPC for parallel computing.

Responsibilities

• Develop scalable pipelines for integrating genetics, proteomics, EHR, and other biomedical data for target and biomarker discovery.
• Develop statistical genetics methods for causal modeling using genetics, genomics, and perturbation datasets.
• Analyze biobank-scale datasets and interpret associations and biomarker signals.
• Track and pilot cutting-edge methods in statistical genetics and computational biology.
• Collaborate with wet-lab scientists and cross-functional computational teams.
• Communicate findings through publications and presentations within the department and across functions.

Skills

Biostatistics

Genetic Epidemiology

Computational Biology

GWAS

QTL mapping

Polygenic scores

R/Python

AWS / HPC

Education

PhD in Statistics/Biostatistics/Computational Biology/Genetic Epidemiology

Tools

AWS Cloud

High-Performance Computing

Job description

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

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

We offer a comprehensive package of benefits.

• medical
• dental
• vision healthcare
• other insurance benefits (for employee and family)
• retirement benefits, including 401(k)
• paid holidays
• vacation
• compassionate and sick days

Required Skills

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

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

Requisition ID

R416259

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