Senior ML Scientist, Biological Systems
Core
Building autonomous life science systems that connect AI reasoning, biological evidence, experimental design, and automated execution to accelerate discovery in cellular and tissue biology.
Role type
Senior Machine Learning Scientist (Autonomous Science)
Builds
Autonomous life science systems, workflows, prototypes, and production-quality research systems
Domain
Life Science AI, Cellular and Tissue Biology, Single-cell Omics, Perturbation Biology, Spatial Profiling, Imaging, Genetics
Deliverable
production ML models | research
Required skills
Machine learning, probabilistic modeling, agentic systems, Bayesian reasoning, experimental design, uncertainty quantification, biological data integration, scientific reasoning, formal methods for reasoning under uncertainty
Preferred skills
Causal inference, active learning, closed-loop systems, multi-modal experimental data, philosophy of science, publishing at premier venues
Technologies
PyTorch, JAX, TensorFlow
Responsibilities
Translate scientific direction into working architectures and workflows; develop methods for representing hypotheses and evidence; design agentic workflows for experiment planning and execution; build evaluation frameworks for autonomous discovery systems; partner with experimental and platform teams; contribute to the technical roadmap.
Seniority
Senior, hands-on IC
