Computational Biologist: Multimodal Target Discovery

Eli Lilly and Company; Indianapolis (IN); On-site; USD 167,000 - 266,000; Full time

Benefits offered by this job

401(k)

Pension

Vacation Benefits

Health, Dental, Vision

Flexible Spending Accounts

Job summary

Eli Lilly and Company is seeking a Computational Biologist to lead analyses of multimodal biological datasets and develop methods advancing target discovery in cardiometabolic diseases. The role spans spatial and single-cell omics, causal inference, AI/ML, and functional genomics within the Data Science team at CardioMetabolic Research.

Ideal candidates combine deep computation with independence to drive programs and collaborate across statistics, genetics, and translational biology to inform

Qualifications

• Ph.D. in computational biology or related quantitative life science field with method development experience.
• Strong background in multi-omics, spatial omics, or functional genomics analyses.

Responsibilities

• Design and implement end-to-end multimodal omics analyses for target discovery.
• Develop scalable pipelines for spatial and single-cell data integration.
• Build predictive models combining genetic and functional data for target scoring.
• Collaborate with AI, statistics, and biology teams to advance discovery.

Skills

Multimodal omics

AI/ML modeling

Bayesian methods

Python

R

Graph neural networks

Education

Ph.D. in computational biology or related field

Tools

Nextflow

Git

High-performance computing

Job description

Eli Lilly and Company is seeking a Computational Biologist to lead analyses of multimodal biological datasets and develop methods advancing target discovery in cardiometabolic diseases. The role spans spatial and single-cell omics, causal inference, AI/ML, and functional genomics within the Data Science team at CardioMetabolic Research.

Ideal candidates combine deep computation with independence to drive programs and collaborate across statistics, genetics, and translational biology to inform