Principal Scientist, Computational Sciences – Protein Structure Prediction and Design

Bristol Myers Squibb

Principal Scientist focused on computational methods for antibody design at Bristol Myers Squibb. Leading advanced biologics discovery efforts through machine learning and structural biology integration.

Posted 5/27/2026full-timeSan Diego • California, Massachusetts • 🇺🇸 United StatesLead💰 $156,890 - $202,086 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Develop and scale antibody design capabilities from prototype to application : Advance agentic antibody design approaches into robust, reusable workflows that support preclinical discovery efforts.
Build and apply state-of-the-art models for biologics design : Develop methods for protein structure modeling, binder design, affinity/specificity prediction, and developability property prediction using internal and external datasets.
Deliver reliable, production-ready research tools : Own end-to-end development of computational pipelines, with strong emphasis on reproducibility, benchmarking, and maintainable, well-documented code.
Lead through influence : Partner with computational and wet-lab teams to prioritize capabilities, translate insights into actionable decisions, and communicate clearly to technical and non-technical audiences.

Requirements

What you’ll need

Ph.D. in structural bioinformatics, computational biology, computer science, engineering, physics, or a related discipline, along with 4 or more years of relevant industry or academic experience
Expertise in modern machine learning approaches ( e.g. transformers and diffusion/flow-based generative models) and strong fundamentals in classical machine learning methods
Experience developing and evaluating predictive models, including familiarity with model assessment, benchmarking, and experimental design
Hands-on experience with protein modeling approaches, including state-of-the-art methods for protein structure prediction and generative protein design
Experience developing or applying agentic AI frameworks to build applications that automate and accelerate research workflows
Strong Python skills and commitment to reproducible research and high-quality scientific software
Ability to identify high-impact problems, work independently to drive solutions through implementation and evaluation
Collaborate effectively across disciplines and communicate technical finding clearly through visualization, concise narratives, and actionable recommendation.

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.
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).
Paid Time Off 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.
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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

antibody designprotein structure modelingbinder designaffinity predictionspecificity predictiondevelopability property predictionmachine learningpredictive modelsPythonreproducible research

Soft Skills

leadershipcollaborationcommunicationproblem-solvingindependent workinfluencetechnical communicationvisualizationnarrative developmentactionable recommendations

Certifications

Ph.D. in structural bioinformaticsPh.D. in computational biologyPh.D. in computer sciencePh.D. in engineeringPh.D. in physics