(Senior) Scientist - Translational Modeling & Decision Science

What you'll do

• Deliver evidence-based translational predictions and recommendations for diligence, milestones, program decisions, and competitive assessments.
• Identify relevant patterns and risks across programs and match analytical rigor to each decision’s context and consequences.
• Evaluate AI-generated outputs, prototype modeling approaches, and turn findings into product requirements, benchmarks, and feedback for engineering teams.

What they ask for

• PhD in a life sciences discipline with quantitative experience, or in a quantitative life sciences discipline (or equivalent), with strong knowledge of physiology, molecular biology, and immunology.
• Demonstrated expertise building mechanistic models for drug-development decisions across multiple therapeutic areas.
• Proficiency in Python scientific computing (scipy, numpy, pandas) and numerical ODE integration.
• Experience operating across multiple concurrent programs and decision types; ability to communicate recommendations to non-technical decision-makers.

Nice to have

• Experience applying frontier AI and LLM tools to drug-development decisions.
• Translational breadth across drug modalities, familiarity with regulatory credibility frameworks, or experience in venture-backed or platform-company environments.

Pay

$115,000 - $205,000 USD base salary

Tools

Python, scipy, numpy, pandas, ICH M15, FDA MIDD

AI focus

Apply AI and LLM tools to drug-development decisions; evaluate autonomous outputs and provide domain-expert feedback, benchmarks, and product requirements to improve an agentic AI platform.