Senior Scientist, AI Computational Structural Biology

Senior Scientist, AI Structural Biology The Informatics and Predictive Sciences (IPS) mission is "Pioneer, Partner and Predict" to drive transformative insights for patient benefit. IPS conducts applied computational research in genomic, structural and molecular informatics, computational and systems biology, and patient selection across drug discovery and development. This role focuses on shaping the next generation of AI‑driven drug discovery at BMS, with direct impact on our induced proximity and targeted protein degradation programs. 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 and 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 novel druggability hypotheses for hard‑to‑drug targets. Author scientific reports, and present methods, results and conclusions to a publishable standard. Contribute to planning and execution of collaborative projects with leading academic and commercial research groups worldwide. Basic Qualifications Bachelor's Degree 7+ years of academic / industry experience or Master's Degree 5+ years of academic / industry experience. Or Ph.D. 2+ years of academic / industry experience. Preferred Qualifications 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 post‑doctoral experience developing AI/ML approaches in university, pharma, or biotech settings, focusing on drug discovery. Requirements - Technical Skills & Experience AI/ML & Deep Learning: Proven experience developing and deploying AI/ML models in biological or biochemical contexts, with 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.). Structural Biology and Co‑folding: Deep expertise in protein‑protein interactions, protein folding and biomolecular complex formation, with hands‑on experience in structure prediction and co‑folding frameworks (e.g., AlphaFold2, AlphaFold‑Multimer, RoseTTAFold2, Boltz, Chai‑1, NeuraPlexer or equivalent). Preferred Skills Multi‑Omics Data Integration: Ability to integrate and analyze multimodal datasets—including structural, genomic and proteomic data—from public and proprietary sources, with experience developing algorithms to interpret genomics and proteomics data. Chemoproteomics & induced proximity: Familiarity with chemoproteomics data for druggability assessment; experience with induced proximity modalities (e.g., PROTACs, molecular glues, bifunctional molecules) is appreciated but not required. Requirements - Scientific & Collaborative Skills 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 and 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 present complex methods and results to diverse scientific audiences, and author high‑quality scientific reports and publications to a publishable standard. Compensation Overview Cambridge Crossing: $148,210 - $179,601 San Diego, CA, US: $141,770 - $171,794 The starting compensation range shown above applies to full‑time employees. Additional incentive cash and stock opportunities may be available based on eligibility. The final compensation will be decided based on demonstrated experience. Benefits Health Coverage: Medical, pharmacy, dental and vision care. Well‑being Support: Programs such as BMS Well‑Being Account, BMS Living Life Better and Employee Assistance Programs (EAP). Financial Well‑being and Protection: 401(k) plan, short‑ and long‑term disability, life insurance, accident insurance, supplemental health insurance, travel protection, personal liability protection, identity theft benefit, legal support and survivor support. Paid Time Off: US exempt employees: flexible time off (unlimited, with manager approval) and 11 paid national holidays. Phoenix, AZ and Puerto Rico employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays and 3 optional holidays. Additional time off may include unlimited paid sick time, up to two paid volunteer days per year and summer hours flexibility. All global employees actively employed at BMS at the end of the calendar year are eligible for a Global Shutdown between Christmas and New Year's Day. Location Cambridge, MA Equal Opportunity Employer Bristol Myers Squibb is an equal‑opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, marital status, genetic information, political affiliation, or any other characteristic protected by law. #J-18808-Ljbffr Bristol Myers Squibb