Scientist I / Scientist II, Computational Protein Generation
Core
Develop and productionize de novo protein generation protocols and optimization techniques using machine learning to advance therapeutic pipelines.
Role type
Computational Scientist (de novo protein design)
Builds
Production-ready ML models and tools for protein generation
Domain
Biomedicines / Structural Biology / Machine Learning
Deliverable
production ML models
Required skills
Structural biology intuition, de novo protein design methods, generative modeling, biophysical metrics design, model benchmarking, agentic AI tool integration, Python/software engineering
Preferred skills
Experience with design-build-test-learn cycles, knowledge of therapeutic mechanisms of action
Technologies
Agentic AI tools, proprietary Generate platform
Responsibilities
Develop and validate de novo protein generation protocols; Define and implement in silico biophysical and functional metrics; Benchmark foundation models for therapeutic applications; Propose new therapeutic strategies via de novo tools; Partner cross-functionally to drive therapeutic development; Advance state of the art in sequence–structure–function understanding; Integrate agentic tools into workflows; Build production-quality code
Seniority
Individual Contributor (IC)