Post Doctoral Scientist – Human Genomics and Translational Data Sciences

Lilly's Cardiometabolic Research division seeks a Statistical Geneticist to support clinical research infrastructure. The role focuses on integrating and analyzing genomic, proteomic, metabolomic, and phenotypic data from biobanks and proprietary datasets using cloud-based platforms.

Key Responsibilities

• Apply statistical methods to analyze whole genome/exome sequencing, proteomics, metabolomics, and clinical data for biomarker discovery
• Conduct rigorous analyses of large-scale population cohorts to identify genetic variants associated with disease outcomes
• Develop machine learning and bioinformatics pipelines for multi-omics data integration
• Collaborate with geneticists, epidemiologists, and clinicians on therapeutic development
• Prepare scientific reports, presentations, and publications
• Contribute to novel statistical methods for high-dimensional biological data

Required Qualifications

• PhD in statistical genetics, bioinformatics, computational biology, biostatistics, or related quantitative field

Preferred Qualifications

• Expertise in WGS/WES analysis, proteomics, metabolomics, and clinical outcomes research
• Proficiency in R, Python, and SQL
• Experience with large biobanks (UK Biobank, All of Us, FinnGen)
• Familiarity with GWAS and polygenic risk score models
• Strong publication record in statistical genetics
• Prior cardiometabolic research experience