Eli Lilly and Company · 2 weeks ago
Post Doctoral Scientist – Human Genomics and Translational Data Sciences
US, Boston MA, US
Full-time
Onsite
Senior Level
$58K/yr - $123K/yrEli Lilly and Company is a global healthcare leader focused on discovering and bringing life-changing medicines to those in need. The successful candidate will support data, tools, and infrastructure for clinical research objectives, integrating and analyzing genomic, proteomic, metabolomic, and phenotypic data on cloud-based clinical multi-omics platforms.
BiotechnologyHealthcarePharmaceuticalHealth CareMedical
No H1B
Responsibilities
Apply statistical and computational approaches to analyze WGS/WES, proteomics, metabolomics, and clinical data for biomarker discovery
Conduct rigorous analyses of large-scale population cohorts and biobank datasets to identify genetic variants and causal genes associated with disease outcomes
Develop and implement machine learning and bioinformatics pipelines to integrate multi-omics data
Collaborate with interdisciplinary teams, including geneticists, epidemiologists, and clinicians, to interpret findings and guide therapeutic development
Prepare scientific reports, presentations, and publications detailing research outcomes
Contribute to the development of novel statistical methods for analyzing high-dimensional biological data
Qualification
Required
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
Preferred
Expertise in whole genome and whole exome sequencing analysis, proteomics, metabolomics and other molecular data analysis, and clinical outcomes research
Strong proficiency in statistical modeling, machine learning, and high-dimensional data analysis
Experience working with large biobank and cohort datasets (e.g., UK Biobank, All of Us, FinnGen)
Proficiency in programming languages such as R, Python, and SQL for data analysis
Familiarity with genetic association studies, GWAS, and polygenic risk scores
Excellent communication and collaboration skills to work effectively in cross-functional teams
Experience in pharmaceutical or biotech industry settings
Knowledge of functional genomics and multi-omics data integration
Strong publication record demonstrating contributions to statistical genetics and biomarker discovery and analysis
Prior experience in cardiometabolic research
Prior experience with polygenic risk score models
Benefits
Company bonus
401(k)
Pension
Vacation benefits
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
Well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)
Company
Eli Lilly and Company
We're a medicine company turning science into healing to make life better for people around the world.
Founded in 1876
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$6.5B2024-02-12Post Ipo Debt· $6.5B
1978-01-13IPO
Leadership Team
David Ricks
Chair, CEO
Lucas Montarce
Executive Vice President and Chief Financial Officer
Recent News
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