Staff ML Research Scientist, Co-Folding and Affinity
Core
Architecting ML biopharma capabilities to redefine state-of-the-art in protein-ligand structure prediction and binding affinity for drug discovery pipelines.
Role type
Staff ML Research Scientist (Co-Folding & Affinity)
Builds
Production-ready deep learning models for structure prediction and affinity prediction integrated into drug discovery software.
Domain
Life sciences / Biopharma / AI
Deliverable
production ML models
Required skills
Deep learning architecture design, protein-ligand co-folding modeling, binding affinity prediction, Python, PyTorch/JAX, large-scale model training, scientific publication, technical strategy, team mentorship
Preferred skills
Postdoctoral experience in structure-based affinity models, commercial software shipping in biopharma, interdisciplinary AI/physical sciences leadership, drug discovery pipeline context, technical roadmap setting, top-tier venue publications, agentic coding tools
Technologies
PyTorch, JAX, Python
Responsibilities
Develop next-generation deep learning models for co-folding and affinity prediction; Integrate research models into production drug discovery pipelines; Optimize complex models for large-scale real-world applications; Represent scientific vision externally and internally; Mentor junior researchers and collaborate across engineering and product teams
Seniority
Staff, hands-on IC with strategic scope