Machine Learning Scientist, Computational Pathology
Core
Design, direct, and evaluate autonomous research agents that propose hypotheses, write and execute experiments, and train models to answer specific scientific questions in cancer care.
Role type
Senior IC machine learning scientist (autonomous agents)
Builds
Autonomous research agents for multi-cancer platform
Domain
Healthcare + Computational Pathology
Deliverable
production ML models
Required skills
autonomous agent design, hypothesis formulation, experimental design, model evaluation, scientific question framing, research direction prioritization
Preferred skills
computational pathology, multi-cancer modeling, clinical data analysis
Technologies
autonomous research agents, foundation models, digital slide analysis
Responsibilities
Design autonomous research agents, direct agent execution of experiments, evaluate agent-generated hypotheses, decide research investment priorities
Seniority
Senior, hands-on IC
