Senior ML Scientist, Biological Systems

The Senior ML Scientist will focus on developing domain models for perturbation biology, genetics, and high-dimensional experimental data, and translate biological questions into rigorous ML problem formulations. The role requires a strong publication record or equivalent industry impact, experience developing models for high-dimensional biological data, and the judgment to connect ML methods to biological mechanism and experimental design.

What You Will Do

Build domain models for perturbation, genetic, and multimodal experimental data, and translate biological questions into rigorous ML problem formulations. Make uncertainty a deliverable, pre-register and beat baselines, and partner with experimental scientists to guide data generation and model validation.

Why It Might Be a Fit

The successful candidate will have a strong publication record or equivalent industry impact, experience developing models for high-dimensional biological data, and the judgment to connect ML methods to biological mechanism and experimental design. Bonus points will be given for mechanistic and probabilistic modeling, experience with models in at least one of the areas, and experience deploying research models into scientific decision-making workflows.

Requirements

• PhD in machine learning, statistics, computational biology, computer science, bioengineering, physics, or a related quantitative field
• Experience developing models for high-dimensional biological data
• Strong programming skills, reliable ML research workflows, and clear communication across ML, biology, and experimental teams
• Track record of leading ambiguous research problems from formulation through execution
• Experience with models in at least one of the areas: Bayesian hierarchical models, simulation-based or likelihood-free inference, amortized posterior inference, state-space or ODE-based models, neural differential equations, or mechanism-informed ML

Benefits

• Competitive base compensation with bonus potential
• Generous early-stage equity
• Comprehensive benefits program including medical, dental, and vision coverage
• Employer-paid life and disability insurance
• Flexible time off with generous company-wide holidays
• Paid parental leave
• Educational assistance program
• Commuter benefits
• Company subsidized lunch program