Principal Scientist, Discovery BioSciences - Integrative New Targets, Oncology

Bristol Myers Squibb seeks an innovative AI/ML scientist with experimental cancer biology expertise to lead efforts combining agentic AI, machine learning, functional genomics, and target discovery. The successful candidate will identify and validate datasets while developing advanced algorithms for oncology target identification.

Key Responsibilities

• Drive data science methodologies grounded in biology to identify new oncology drug targets
• Co-develop multi-disciplinary research strategies for target innovation
• Collaborate with Informatics and Predictive Science teams on data-driven projects
• Develop machine learning algorithms and AI platforms for target validation
• Lead matrix teams focused on computational chemistry, genomics, and spatial technologies

Basic Qualifications

• Bachelor's degree plus 8+ years experience, OR
• Master's degree plus 6+ years experience, OR
• PhD plus 4+ years experience in Life Sciences

Preferred Qualifications

• PhD (4+ years) or MS (6+ years) in cancer biology
• Expertise in functional genomics, single-cell, and spatial omics analysis
• Experience with genome engineering, CRISPR, shRNA, and genetic perturbation
• Knowledge of oncology targets and antibody-drug conjugate modalities
• Published contributions to scientific community
• AI/machine learning and statistical modeling proficiency