Computational Biologist – Target Discovery & Multi-Omics

BioSpace; Boston (MA); On-site; USD 167,000 - 266,000; Full time

Benefits offered by this job

401(k) plan

Pension

Health benefits

Well-being program

Job summary

Lilly is seeking a highly skilled computational biologist to lead analyses of spatial and single‑cell omics datasets in the CardioMetabolic Research data science team. The role involves designing end‑to‑end analyses across modalities, developing predictive models, and integrating genetic evidence to prioritize drug targets.

The ideal candidate will advance ML/AI frameworks, contribute to scalable analytical platforms, and collaborate with statisticians, AI teams, and translational scientists to

Qualifications

• Ph.D. in computational biology or related field with multi-omics focus.
• 2+ years of post-doctoral or biotech/biopharma industry experience.

Responsibilities

• Design and implement end-to-end analyses of multimodal omics data.
• Build scalable pipelines to preprocess, QC, harmonize and integrate datasets.
• Develop predictive models to score targets and distinguish causality from association.
• Collaborate with internal teams to translate results into target discovery decisions.

Skills

Bayesian modeling

AI/ML fluency

Python/R

Multi-omics analysis

Collaborative communication

Education

Ph.D. in computational biology or related field

Tools

Nextflow

Git

Job description

Lilly is seeking a highly skilled computational biologist to lead analyses of spatial and single‑cell omics datasets in the CardioMetabolic Research data science team. The role involves designing end‑to‑end analyses across modalities, developing predictive models, and integrating genetic evidence to prioritize drug targets.

The ideal candidate will advance ML/AI frameworks, contribute to scalable analytical platforms, and collaborate with statisticians, AI teams, and translational scientists to