Postdoctoral Researcher – Integrative Genetics and Multi-Omics Data Science

Caraway Therapeutics, Inc.

Cambridge (MA)

On-site

USD 82,000 - 92,000

Full time

8 days ago
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Benefits offered by this job

Annual bonus
Long-term incentive
Comprehensive benefits

Job summary

Caraway Therapeutics, Inc. seeks a highly motivated postdoctoral researcher for the Precision Genetics group within DAGS to develop scalable computational and statistical methods for biobank-scale multi-modal data analysis and biomarker discovery.

You will integrate human genetics, proteomics, EHR and other large data sets to uncover causal gene–pathway–disease relationships and biomarkers. Responsibilities include building pipelines, applying causal modeling, and collaborating with wet-lab and

Qualifications

  • Experience with biobank or consortium datasets such as UK Biobank, Our Future Health, All of Us, FinnGen.
  • Experience analyzing omics data: WGS, genotyping, transcriptomics, proteomics or related.
  • Proficiency in statistical genetics methods (GWAS, QTL mapping, polygenic scores).
  • Proficient in R and/or Python for data analysis and modelling.
  • Experience with cloud/HPC environments and scalable workflows.
  • Strong publication record in statistical genetics or computational biology.

Responsibilities

  • Develop scalable pipelines to integrate genetics, proteomics, EHR and other datasets for target and biomarker discovery.
  • Advance statistical genetics methods by integrating genetics, genomics and perturbation data.
  • Analyze biobank-scale datasets and interpret associations and biomarker signals.
  • Track and pilot new computational and statistical methods in the field.
  • Collaborate with wet-lab and cross-functional teams.
  • Communicate results via publications, presentations and meetings.

Skills

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

Education

PhD in Statistics
PhD in Biostatistics
PhD in Statistical Genetics
PhD in Genetic Epidemiology
PhD in Computational Biology
PhD in Bioinformatics
PhD in Computer Science
PhD in Mathematics

Tools

AWS
HPC environments
Parallel computing
Workflow design

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

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
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.

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

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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