Senior/Principal ML Scientist, Translational Biology

Highlights

• Build systems that test whether a clinical program's biology holds up.
• Ground mechanisms in human genetics, expression and trial evidence.
• Forecast real program outcomes scored against what was knowable.

What they offer

• Comprehensive benefits program

Ideal candidate

Translational scientist with a PhD centered on human biomedical data who cares about whether biology holds up in patients. Rigorous, mechanistic thinker who wants to build accountable systems linking models to real clinical outcomes.

Requirements

• PhD in a computational discipline with research centered on human biomedical data
• Hands-on ML and data analysis for translational medicine
• Fluent Python and reproducible pipelines for human genetic, multi-omic, cohort, trial or real-world data
• Mechanistic reasoning about how therapeutic interventions work and what evidence establishes each step
• Clear communication to technical and cross-functional audiences