Post Doctoral Scientist – Human Genomics and Translational Data Sciences

Eli Lilly
Eli Lilly logo
Location
US, Boston MA
Job Type
Full-time
Posted
May 21, 2026
Views
4
Salary Range
$58k - $123k USD

Job Description

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

The Cardiometabolic Research (CMR) Therapeutic Area of Eli Lilly and Company, focuses on the discovery of biologic, small molecule and genetic therapeutics for the treatment of cardiometabolic diseases and associated complications. The successful candidate will be responsible for supporting the data, tools and infrastructure that are critical for enabling clinical research objectives that will inform and accelerate the discovery and development of our next generation therapeutics. Specifically, we are seeking a key multi-dimensional individual to integrate and analyze genomic, proteomic, metabolomic and phenotypic data from publicly available biobank and proprietary data sets on cloud based clinical multi-omics platforms.

We are seeking aStatistical Geneticistwith expertise inwhole genome sequencing (WGS), proteomics, and clinical outcomes analysisto advance our research in identifying novel therapeutic targets. This role will involve analyzing large-scalebiobank and population-cohort datasetsto uncover genetic and molecular factors associated with disease risk, progression, and treatment response. You will operate as part of the CMR Data Science and Computational Biology (DSCB) team and partner with early discovery scientists and clinicians, translational scientists, bioinformaticians and geneticists.

Key Responsibilities

  • Applystatistical and computational approachesto analyze WGS/WES, proteomics, metabolomics, and clinical data for biomarker discovery.
  • Conduct rigorous analyses oflarge-scale population cohorts and biobank datasetsto identify genetic variants and causal genes associated with disease outcomes.
  • Develop and implementmachine learning and bioinformatics pipelinesto integrate multi-omics data.
  • Collaborate with interdisciplinary teams, includinggeneticists, epidemiologists, and clinicians, to interpret findings and guide therapeutic development.
  • Preparescientific reports, presentations, and publicationsdetailing research outcomes.
  • Contribute to the development ofnovel statistical methodsfor analyzing high-dimensional biological data.

Qualifications & Requirements

  • PhD in statistical genetics, bioinformatics, computational biology, biostatistics, or a related quantitative field
  • Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.

Additional Skills/Preferences

  • Expertise inwhole genome and whole exome sequencing analysis, proteomics, metabolomics and other molecular data analysis, and clinical outcomes research.
  • Strong proficiency instatistical modeling, machine learning, and high-dimensional data analysis.
  • Experience working withlarge biobank and cohort datasets(e.g., UK Biobank, All of Us, FinnGen).
  • Proficiency inprogramming languages such as R, Python, and SQLfor data analysis.
  • Familiarity withgenetic association studies, GWAS, and polygenic risk scores.
  • Excellentcommunication and collaboration skillsto work effectively in cross-functional teams.
  • Experience inpharmaceutical or biotech industry settings.
  • Knowledge offunctional genomics and multi-omics data integration.
  • Strongpublication recorddemonstrating contributions to statistical genetics and biomarker discovery and analysis.
  • Prior experience in cardiometabolic research.
  • Prior experience with polygenic risk score models.

This is an exciting opportunity toadvance precision medicine and therapeutic target identificationthrough innovative statistical genetics approaches. If you are passionate about employing big data for scientific discovery, we encourage you to apply!

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

The Cardiometabolic Research (CMR) Therapeutic Area of Eli Lilly and Company, focuses on the discovery of biologic, small molecule and genetic therapeutics for the treatment of cardiometabolic diseases and associated complications. The successful candidate will be responsible for supporting the data, tools and infrastructure that are critical for enabling clinical research objectives that will inform and accelerate the discovery and development of our next generation therapeutics. Specifically, we are seeking a key multi-dimensional individual to integrate and analyze genomic, proteomic, metabolomic and phenotypic data from publicly available biobank and proprietary data sets on cloud based clinical multi-omics platforms.

We are seeking aStatistical Geneticistwith expertise inwhole genome sequencing (WGS), proteomics, and clinical outcomes analysisto advance our research in identifying novel therapeutic targets. This role will involve analyzing large-scalebiobank and population-cohort datasetsto uncover genetic and molecular factors associated with disease risk, progression, and treatment response. You will operate as part of the CMR Data Science and Computational Biology (DSCB) team and partner with early discovery scientists and clinicians, translational scientists, bioinformaticians and geneticists.

Key Responsibilities

  • Applystatistical and computational approachesto analyze WGS/WES, proteomics, metabolomics, and clinical data for biomarker discovery.
  • Conduct rigorous analyses oflarge-scale population cohorts and biobank datasetsto identify genetic variants and causal genes associated with disease outcomes.
  • Develop and implementmachine learning and bioinformatics pipelinesto integrate multi-omics data.
  • Collaborate with interdisciplinary teams, includinggeneticists, epidemiologists, and clinicians, to interpret findings and guide therapeutic development.
  • Preparescientific reports, presentations, and publicationsdetailing research outcomes.
  • Contribute to the development ofnovel statistical methodsfor analyzing high-dimensional biological data.

Qualifications & Requirements

  • PhD in statistical genetics, bioinformatics, computational biology, biostatistics, or a related quantitative field
  • Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.

Additional Skills/Preferences

  • Expertise inwhole genome and whole exome sequencing analysis, proteomics, metabolomics and other molecular data analysis, and clinical outcomes research.
  • Strong proficiency instatistical modeling, machine learning, and high-dimensional data analysis.
  • Experience working withlarge biobank and cohort datasets(e.g., UK Biobank, All of Us, FinnGen).
  • Proficiency inprogramming languages such as R, Python, and SQLfor data analysis.
  • Familiarity withgenetic association studies, GWAS, and polygenic risk scores.
  • Excellentcommunication and collaboration skillsto work effectively in cross-functional teams.
  • Experience inpharmaceutical or biotech industry settings.
  • Knowledge offunctional genomics and multi-omics data integration.
  • Strongpublication recorddemonstrating contributions to statistical genetics and biomarker discovery and analysis.
  • Prior experience in cardiometabolic research.
  • Prior experience with polygenic risk score models.

This is an exciting opportunity toadvance precision medicine and therapeutic target identificationthrough innovative statistical genetics approaches. If you are passionate about employing big data for scientific discovery, we encourage you to apply!

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.


Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is

$58,000 - $123,200

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

#WeAreLilly

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Job Information

Source: workday
AI Relevance: 92/100 (Highly relevant)
Remote Type: onsite
Allowed Locations: US, Boston MA
Skills & Tags:
eli lilly pharma

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