Senior ML Scientist, Biological Systems
Tasks
- Apply Bayesian reasoning to propose test and revise hypotheses
- Build autonomous life science systems
- Collaborate with ML experimental automation and platform teams
- Contribute to technical roadmap for autonomous life science systems
- Design agentic workflows for experiment planning and feedback loops
- Develop evaluation frameworks for autonomous discovery systems
- Integrate computational predictions with automated laboratory execution
- Represent hypotheses uncertainty evidence and scientific arguments for machine reasoning
- Translate autonomous science vision into architectures and workflows
Perks/Benefits
- Bike share memberships
- Commuter benefits
- Dental insurance
- Disability insurance
- Educational assistance
- Flexible time off
- Life insurance
- Medical insurance
- Paid parental leave
- Subsidized lunch program
- Vision insurance
Skills/Tech-stack
Active Learning | Agentic Systems | Artificial Intelligence | Bayesian Reasoning | CICD | Causal Inference | Genetics | Imaging | JAX | Machine Learning | Multi-Omics | Perturbation Biology | Probabilistic Modeling | Probabilistic Programming | PyTorch | Single cell omics | Single-cell | Spatial profiling | TensorFlow | Uncertainty Quantification
Education
Regions
Countries
States
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