Senior Scientist, AI Computational Structural Biology

Bristol Myers Squibb • San Diego, CA

1d • $141,770 - $179,601 • Hybrid

About The Position

Bristol Myers Squibb (BMS) is seeking a Senior Scientist, AI Computational Structural Biology to join their Predictive Structure and Function team. This role is crucial for advancing AI-driven drug discovery, particularly in induced proximity and targeted protein degradation programs. The successful candidate will collaborate with scientists across various departments, including Protein Homeostasis, Computational Sciences, and Oncology, to leverage AI/ML models for predicting structural biomolecular interactions and protein properties. The position offers opportunities to pioneer computational research, drive transformative insights for patient benefit, and contribute to the development of next-generation medicines.

Requirements

• Bachelor's Degree with 7+ years of academic/industry experience, OR Master's Degree with 5+ years of academic/industry experience, OR PhD with 2+ years of academic/industry experience.
• Proven experience developing and deploying AI/ML models in biological or biochemical contexts.
• Proficiency in deep learning architectures for structural data (GNNs, equivariant neural networks, transformers, diffusion, flow matching) using Python and relevant libraries (PyTorch, JAX, RDKit, ESM/fair-esm, Biopython, etc.).
• Deep expertise in protein-protein interactions, protein folding, and biomolecular complex formation.
• Hands-on experience in structure prediction and co-folding frameworks (e.g. AlphaFold2, AlphaFold-Multimer, RoseTTAFold2, Boltz, Chai-1, NeuraPlexer, or equivalent).
• Strong problem-solving mindset with the ability to design novel computational approaches for challenging biological questions.
• Experience contributing to or leading collaborative research projects with academic and/or industry partners.
• Ability to translate scientific findings into actionable drug discovery insights.
• Self-motivated with strong organizational skills and the ability to manage multiple projects simultaneously.
• Demonstrated ability to presenting complex methods and results to diverse scientific audiences.
• Ability to author high-quality scientific reports and publications to publishable standard.

Nice To Haves

• Ph.D. in Computational Biology, Bioinformatics, Structural Biology, Computer Science, Chemistry, or a closely related field, with a strong focus on AI/ML applications in drug discovery.
• 2+ years of post-doctoral experience in developing AI/ML approaches in university, pharma, or biotech settings, focusing on drug discovery.
• Ability to integrate and analyze multimodal datasets—including structural, genomic, and proteomic data—from both public and proprietary sources.
• Experience developing algorithms to interpret genomics and proteomics data.
• Familiarity with chemoproteomics data for druggability and ligandability assessment.
• Experience with induced proximity modalities (for example, PROTACs, molecular glues, and bifunctional molecules).

Responsibilities

• Develop AI/ML models to predict structural biomolecular interactions for novel modalities leveraging protein-protein interactions.
• Design innovative AI/ML approaches to predict protein cooperativity, affinity & other biological properties based on structures.
• Develop co-folding models that incorporate structural and non-structural priors using combinations of public and proprietary BMS data.
• Develop AI/ML models that leverage chemoproteomics data contributing to the generation of novel druggability hypotheses for hard-to-drug targets.
• Author scientific reports, and present methods, results, and conclusions to publishable standard.
• Contribute to the planning and execution of collaborative projects with leading academic and commercial research groups worldwide.

Benefits

• Medical, pharmacy, dental, and vision care.
• BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
• 401(k) plan.
• Short- and long-term disability.
• Life insurance.
• Accident insurance.
• Supplemental health insurance.
• Business travel protection.
• Personal liability protection.
• Identity theft benefit.
• Legal support.
• Survivor support.
• Flexible time off (unlimited, with manager approval) for US Exempt Employees.
• 11 paid national holidays (with exceptions).
• 160 hours annual paid vacation for new hires (Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees).
• 3 optional holidays.
• Unlimited paid sick time (based on eligibility).
• Up to 2 paid volunteer days per year.
• Summer hours flexibility.
• Leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs.
• Annual Global Shutdown between Christmas and New Years Day.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior