Machine Learning Research Scientist/Senior Machine Learning Research Scientist, Structure and Simulation (AI for Drug Discovery)
Core
Design and train foundation models at scale to answer challenging research questions in large-molecule drug discovery and protein engineering.
Role type
Senior IC machine learning research scientist (structural biology & physical sciences)
Builds
State-of-the-art foundation models and scalable systems for therapeutic design
Domain
Biopharma / AI for Drug Discovery / Structural Biology
Deliverable
production ML models
Required skills
Python, PyTorch, JAX, geometric deep learning, diffusion models, molecular dynamics simulations, classical force fields (AMBER, CHARMM, OpenFF), molecular modeling tools (OpenMM, Rosetta), first-author publication experience
Preferred skills
Multimodal representation learning, cross-functional collaboration
Technologies
PyTorch, JAX, OpenMM, Rosetta, AMBER, CHARMM, OpenFF
Responsibilities
Design and train foundation models at scale, leverage massive structural biology and biophysical datasets to build novel architectures, contribute to cross-functional research teams, drive publications and present scientific findings, solve real problems in drug discovery
Seniority
Senior, hands-on IC