AI Scientist - AI Molecular Design
Core
Develop and deploy ML/AI models to support molecular design initiatives including protein, binder, mRNA, and antibody optimization.
Role type
Senior IC AI Scientist (Molecular Design)
Builds
Production-ready AI solutions for protein structure prediction, binder design, and hits optimization.
Domain
Life Sciences / Biotechnology / Computational Biology
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, RDKit, protein structure prediction algorithms, wet-lab validation methodologies, DMTA cycles, antibody/VHH discovery methods
Preferred skills
Agentic frameworks (LangChain, LangGraph), LLM APIs (Hugging Face, OpenAI, Anthropic), NGS sequence analysis
Technologies
Scikit-learn, Chai-1, Boltz-2, BindCraft, BoltzGen, Mosaic, Proteina Complexa
Responsibilities
Evaluate and apply ML/AI algorithms and tools; collaborate with distributed cross-functional teams; drive data integrity and standardization across assay-to-AI pipeline; document workflows for production integration; stay current with AI advancements in molecular design.
Seniority
Senior, hands-on IC
