Senior/Principal ML Scientist, Translational Biology

What you'll do

• Analyze human biomedical data to assess whether mechanisms are active and rate-limiting in relevant patient populations.
• Evaluate trial design—including endpoints, biomarkers, dosing, and enrollment—and build scalable assessments and outcome-verifiable forecasts.
• Collaborate across scientific and engineering teams, communicate findings, and contribute to publications and scientific engagement.

What they ask for

• PhD in a computational discipline with research centered on human biomedical data.
• Fluent Python and substantial experience analyzing human genetic, multi-omic, cohort, trial, or real-world data in reproducible pipelines.
• Mechanistic reasoning about therapeutic interventions and clinical development knowledge sufficient to assess protocols.
• Ability to judge evidence and what was knowable at a given time, and to make assessments reproducible through systems and evaluation.

Nice to have

• Experience with human genetics for target identification and validation, biomarker development, patient stratification, or clinical trial and real-world data.
• Experience evaluating language models or agents, forecasting, survival analysis, or structured evidence frameworks.

Pay

$268,000 — $384,000 USD (base salary)

Tools

Python

AI focus

Build and evaluate AI/ML systems that assess mechanistic evidence and trial alignment, including forecasts of clinical program outcomes; evaluate language models or agents where applicable.