Python or r proficiency with reproducible workflows
This role involves leading the analysis of multimodal biological datasets to advance target discovery in cardiometabolic disease at a global healthcare leader
Job Summary
This role involves leading the analysis of multimodal biological datasets to advance target discovery in cardiometabolic disease at a global healthcare leader.
The successful candidate will independently design end-to-end analyses integrating spatial transcriptomics, proteomics, and functional genomics to build convergent frameworks for target prioritization.
Lilly offers a comprehensive benefit program including medical, dental, vision, 401(k), pension, and various well-being benefits alongside a competitive salary range.
Matching Summary
This role involves leading the analysis of multimodal biological datasets to advance target discovery in cardiometabolic disease at a global healthcare leader.
Salary
Base: $166,500 - $266,200; Bonus/Equity: Company bonus depending on performance; Benefits: Comprehensive program including 401(k), pension, medical, dental, vision, and wellness perks
Skills & Requirements
Must-have
Spatial and single-cell omics analysis
Causal inference and Bayesian modeling
Python or R proficiency with reproducible workflows
Functional genomics data integration
Machine learning applied to drug discovery
Nice-to-have
Experience with knowledge graphs and graph neural networks
Background in agentic systems and foundation models
Ability to lead through scientific influence without direct management
Collaboration with internal AI and data engineering teams
Pragmatic judgment on method selection and investment
Key Requirements
Ph.D. in computational biology or related quantitative field
2+ years post-doctoral or biopharma industry experience preferred
Demonstrated experience with scalable analytical pipelines