Principal Scientist, Computational Sciences - Protein Structure Prediction and Design
Bristol Myers Squibb
10 days ago
Remote friendly (Brisbane, CA)
United States
Clinical Research and Development
About The Role
Experienced, creative, collaborative scientist for Biotherapeutics Computational Design. Build and deploy ML and structure-based methods to accelerate biologics discovery (antibodies, multispecifics, ADCs, novel scaffolds) and scale an agentic antibody design platform.
Key Responsibilities
- Develop and scale antibody design capabilities from prototype to application
- Advance agentic antibody design into robust, reusable preclinical workflows
- Build and apply models for protein structure modeling, binder design, affinity/specificity prediction, and developability prediction (internal/external datasets)
- Deliver production-ready computational pipelines emphasizing reproducibility, benchmarking, and maintainable well-documented code
- Partner with computational and wet-lab teams; prioritize capabilities and communicate insights to technical/non-technical audiences
Required Qualifications
- PhD in structural bioinformatics/computational biology/CS/engineering/physics or related + 4+ years relevant industry/academic experience
- Modern ML expertise (e.g., transformers; diffusion/flow generative models) and strong classical ML foundations
- Experience developing/evaluating predictive models (assessment, benchmarking, experimental design)
- Hands-on protein modeling (structure prediction + generative protein design)
- Experience with agentic AI frameworks for research automation
- Strong Python; reproducible research and high-quality scientific software
- Independent problem-solving; clear cross-disciplinary communication
Preferred Qualifications
- Physics-based modeling (e.g., MD, free energy perturbation) or closed-loop optimization (e.g., Bayesian optimization, active learning)
- Background in biochemistry/protein engineering
Compensation/Benefits (if eligible)
- Starting ranges: Brisbane/CA (US $166,770–$202,086); Cambridge (US $166,770–$202,086); San Diego/CA (US $156,890–$190,117)
- Health coverage; wellbeing programs; 401(k), disability, life/insurance; Paid Time Off (flexible/annual vacation/holidays by location)
Application Instruction
- Apply even if your experience doesn’t perfectly match.
Experienced, creative, collaborative scientist for Biotherapeutics Computational Design. Build and deploy ML and structure-based methods to accelerate biologics discovery (antibodies, multispecifics, ADCs, novel scaffolds) and scale an agentic antibody design platform.
Key Responsibilities
- Develop and scale antibody design capabilities from prototype to application
- Advance agentic antibody design into robust, reusable preclinical workflows
- Build and apply models for protein structure modeling, binder design, affinity/specificity prediction, and developability prediction (internal/external datasets)
- Deliver production-ready computational pipelines emphasizing reproducibility, benchmarking, and maintainable well-documented code
- Partner with computational and wet-lab teams; prioritize capabilities and communicate insights to technical/non-technical audiences
Required Qualifications
- PhD in structural bioinformatics/computational biology/CS/engineering/physics or related + 4+ years relevant industry/academic experience
- Modern ML expertise (e.g., transformers; diffusion/flow generative models) and strong classical ML foundations
- Experience developing/evaluating predictive models (assessment, benchmarking, experimental design)
- Hands-on protein modeling (structure prediction + generative protein design)
- Experience with agentic AI frameworks for research automation
- Strong Python; reproducible research and high-quality scientific software
- Independent problem-solving; clear cross-disciplinary communication
Preferred Qualifications
- Physics-based modeling (e.g., MD, free energy perturbation) or closed-loop optimization (e.g., Bayesian optimization, active learning)
- Background in biochemistry/protein engineering
Compensation/Benefits (if eligible)
- Starting ranges: Brisbane/CA (US $166,770–$202,086); Cambridge (US $166,770–$202,086); San Diego/CA (US $156,890–$190,117)
- Health coverage; wellbeing programs; 401(k), disability, life/insurance; Paid Time Off (flexible/annual vacation/holidays by location)
Application Instruction
- Apply even if your experience doesn’t perfectly match.