Scientist I, Computational Protein Design
Core
Drive therapeutic protein design strategy by combining computational expertise with biochemical understanding to translate hypotheses into end-to-end design campaigns and integrate AI-designed proteins with experimental data.
Role type
Scientist I, Computational Protein Design (hands-on IC)
Builds
End-to-end protein design campaigns, reusable design capabilities, and agent-enabled computational workflows for therapeutic programs
Domain
Generative biology / Therapeutic protein design / Machine learning
Deliverable
production ML models
Required skills
Protein engineering, de novo protein design, protein optimization, antibody engineering, Python, experimental design, structural biology, statistical modeling
Preferred skills
Machine learning, AI-agent workflows, workflow orchestration, programmatic interfaces
Responsibilities
Translate therapeutic hypotheses into design and data-generation plans; execute protein design campaigns and interpret results; identify capability gaps to improve methods and workflows; serve as interface between computational models and experimental validation; develop agent-enabled computational workflows; communicate data-driven design recommendations to cross-functional teams
Seniority
Individual Contributor (IC), Scientist I
