Co-Op, ML Scientist for Biology
Core
Researching how to evaluate, guide, and reinforce agentic model behavior for autonomous science in biological systems.
Role type
Co-op ML Scientist (Research)
Builds
Reasoning models, evaluation/benchmark datasets, and workflows connecting AI to biological discovery.
Domain
Life Sciences AI / Computational Biology
Deliverable
research
Required skills
Python programming, modern ML frameworks (PyTorch, JAX), biological/multi-modal data analysis, reasoning models, agentic systems, benchmark design
Preferred skills
reinforcement learning, public scientific publications, closed-loop scientific discovery experience
Technologies
PyTorch, JAX
Responsibilities
Contribute to ML research on reasoning models for biological discovery, explore methods to evaluate and reinforce agentic model behavior, develop evaluation and benchmark datasets, analyze multi-modal biological data, prototype workflows connecting model reasoning and scientific feedback
Seniority
Co-op (PhD student)
