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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Scientist, AI Computational Structural... - **Company:** Bristol Myers Squibb - **Location:** Cambridge, MA, United States - **Experience:** Expert - **Salary:** $148,210.0 - $179,601.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Artificial Neural Networks, Bioinformatics, Computational Biology, Data Integration, Python (Programming Language), Machine Learning, Pytorch, Facebook Flow, Deep Learning, Information Technology, Stable Diffusion - **Published:** July 18, 2026 - **Apply:** https://www.juju.com/job/00000000gh7zev ## About the Role + Bachelor's Degree 7+ years of academic / industry experience Or Master's Degree 5+ years of academic / industry experience + Or PhD 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 with 2+ years of post-doctoral experience in 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:Multi-Omics Data Integration: **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. 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 presenting complex methods and results to diverse scientific audiences and author high-quality scientific reports and publications to publishable standard. ## Description When you join BMS, you are joining a diverse, high-achieving team united by a common mission. The Informatics and Predictive Sciences (IPS) mission is to Pioneer, Partner and Predict to drive transformative insights for patient benefit. IPS conducts applied computational research in areas that include genomic, structural and molecular informatics, computational and systems biology, patient selection and translational biomarker research, and broader fields including knowledge science, epidemiology and machine learning-across the full lifecycle of drug discovery and development and across all therapeutic areas at BMS. We do this in close partnership with scientific and clinical experts in the field, both inside and outside the company. We perform innovative science to empower key data-driven decisions across a rich pipeline of next-generation medicines. In doing so, our work transforms the lives of patients, as well as our own lives and careers. Here, you'll get the chance to grow and thrive through opportunities that are uncommon in scale and scope. You'll pursue innovative ideas while advancing professionally alongside some of the brightest minds in biopharma. This is a unique opportunity to shape the next generation of AI-driven drug discovery at BMS, with direct impact on our induced proximity and targeted protein degradation programs. We are seeking a collaborative and highly innovative computational biologist with a strong background in AI co-folding modeling and deep understanding of protein structures to join our Predictive Structure and Function team. They will work alongside scientists in Protein Homeostasis, Computational Sciences, Oncology and other teams in the Informatics and Predictive Sciences (IPS) department to discover novel target opportunities leveraging protein-protein interactions and apply learnings to other small and large molecule modalities. 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., BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. Supporting People with Disabilities BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ (https://careers.bms.com/eeo-accessibility) eeo-accessibility to access our complete Equal Employment Opportunity statement. Candidate Rights BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. ## Related Videos - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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