Senior ML Scientist, Biological Systems

Highlights

• Build domain models linking perturbation biology to therapeutic opportunity.
• Help decide what gets measured in large-scale automated experiments.
• Deliver calibrated predictions that guide next experiments and decisions.

What they offer

• Competitive base compensation with bonus potential and generous early-stage equity
• Medical, dental, and vision coverage with employer-paid life and disability insurance
• Flexible time off with company-wide holidays and paid parental leave
• Educational assistance, commuter benefits and subsidized lunch program

Ideal candidate

A rigorous ML scientist excited by biological mechanism who cares about honest uncertainty and real experimental impact, comfortable leading ambiguous research with experimentalists toward therapeutic decisions.

Requirements

• PhD in machine learning, statistics, computational biology, computer science, bioengineering, physics, or related quantitative field with strong publication record or equivalent industry impact
• Experience developing models for high-dimensional biological data and connecting ML methods to biological mechanism and experimental design
• Track record building models that generalize under structured sparsity to unobserved conditions and new contexts
• Comfort with calibration, proper scoring rules, and evaluation design where decisions depend on numbers
• Strong programming skills, reliable ML research workflows, and clear communication across ML, biology, and experimental teams
• Track record leading ambiguous research problems from formulation through execution