Ai and machine learning application in cancer biology
Functional genomics and single cell omics analysis
Target identification via genetic perturbation screens
This role offers a unique opportunity to transform new target identification by enhancing predictive and analytical capabilities to accelerate oncology target discovery
Job Summary
This role offers a unique opportunity to transform new target identification by enhancing predictive and analytical capabilities to accelerate oncology target discovery.
The position requires a PhD or equivalent advanced degree in Life Sciences with 4+ years of experience applying computational biology and statistical approaches to cancer research.
Bristol Myers Squibb provides competitive benefits including health coverage, financial well-being programs, and flexible time off options for eligible employees.
Matching Summary
This role offers a unique opportunity to transform new target identification by enhancing predictive and analytical capabilities to accelerate oncology target discovery.
Salary
Base: $156,180 - $189,252; Bonus/Equity: Additional incentive cash and stock opportunities available; Benefits: Medical, dental, vision, 401(k), paid time off, and wellbeing support
Skills & Requirements
Must-have
AI and machine learning application in cancer biology
Functional genomics and single cell omics analysis
Target identification via genetic perturbation screens
Experience with CRISPR and genome engineering techniques
Integration of multi-omics and real-world data
Nice-to-have
Strong scientific mindset and communication skills
Experience with spatial technologies and proteomics
Proven history of scientific publications
Understanding of antibody-drug conjugate modalities
Collaborative innovation in cross-functional teams
Key Requirements
PhD in Life Sciences with 4+ years experience OR MS with 6+ years
Expertise in functional genomics, single cell, and spatial omics
Required experience with CRISPR, shRNA, and genetic perturbation
Must be located onsite at Cambridge, MA (no remote work)