Research Scientist, Life Sciences (Computational Chemistry)
Core
Build reinforcement learning environments, datasets, and evaluations to teach AI models chemistry and accelerate biological discoveries.
Role type
Senior Research Scientist (Computational Chemistry & Machine Learning)
Builds
Reinforcement learning environments, experimental datasets, and evaluation benchmarks for chemistry tasks.
Domain
Life Sciences / Computational Chemistry / Machine Learning
Deliverable
production ML models
Required skills
Organic and medicinal chemistry, reaction synthesis, SAR, Python, machine learning fundamentals, reinforcement learning, data curation, model evaluation
Preferred skills
Drug discovery program support, cheminformatics, molecular modeling, RDKit, docking, free energy calculations, quantum chemistry, bench chemistry experience
Technologies
Python, RDKit
Responsibilities
Design and build reinforcement learning environments for chemistry end-to-end; source new experimental datasets and evaluations with bench chemists; develop evaluations for reaction outcome prediction and synthesis planning; run and analyze training experiments to diagnose model failures; ensure high-quality, well-documented datasets and environments.
Seniority
Senior, hands-on IC
