Senior Scientist, AI Computational Structural Biology

Bristol Myers Squibb

Senior Scientist at Bristol Myers Squibb developing AI-driven drug discovery methods for transformative insights in structural biology. Collaborating with global teams on innovative research projects.

Posted 7/14/2026full-timeCambridge Crossing • California, Massachusetts • 🇺🇸 United StatesSenior💰 $148,210 - $179,601 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in developing and deploying AI/ML models for structural biology, with a strong focus on protein-protein interactions and multi-omics data integration. Proven ability to lead collaborative research projects and communicate complex scientific findings effectively.

Highest-signal resume keywords

AI/ML Model DevelopmentDeep Learning ArchitecturesStructural Biology ExpertiseMulti-Omics Data IntegrationScientific Reporting and Presentation

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Applicant Tracking System Keywords

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Hard Skills

AI/MLDeep LearningProtein-Protein InteractionsCo-Folding ModelsStructure PredictionAlgorithm DevelopmentChemoproteomicsData AnalysisPythonRelevant Libraries

Soft Skills

Problem-Solving MindsetOrganizational SkillsSelf-MotivationCollaboration

Tools & Technologies

PyTorchJAXRDKitESM/Fair-ESMBiopythonAlphaFold2AlphaFold-MultimerRoseTTAFold2BoltzChai-1

Industry Keywords

Biomolecular InteractionsDrug DiscoveryInduced ProximityPROTACsMolecular GluesBifunctional Molecules

Tech Stack

Tools & technologies

ChaiPythonPyTorch

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

Bachelor's Degree
7+ years of academic / industry experience
Master's Degree 5+ years of academic / industry experience
PhD 2+ years of academic / industry 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).
Multi-Omics Data Integration: Ability to integrate and analyze multimodal datasets—including structural, genomic, and proteomic data—from both public and proprietary sources, with experience developing algorithms to interpret genomics and proteomics data.
Chemoproteomics & induced proximity: Familiarity with chemoproteomics data for druggability and ligandability assessment is preferred. Experience with induced proximity modalities (for example, PROTACs, molecular glues, and bifunctional molecules) is appreciated but not required.
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 presenting complex methods and results to diverse scientific audiences and author high-quality scientific reports and publications to publishable standard.

Benefits

Comp & perks

Health Coverage: Medical, pharmacy, dental, and vision care.
Wellbeing 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, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
Work-life benefits: Paid Time Off US Exempt Employees: flexible time off (unlimited, with manager approval), 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees).
Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays.
Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.