(Senior) Scientist - Translational Modeling & Decision Science

The role

This role bridges the gap from capability to impact by leveraging PI technologies to address translational challenges across Flagship's therapeutic portfolio. The individual will reduce scientific uncertainty behind drug development and investment decisions through mechanistic modeling and quantitative analysis.

What you will do

• Produce quantitative opinions across decision types and scenarios
• Deliver translational predictions with stated confidence and boundary conditions
• Quantify probability of pharmacological success
• Translate scientific complexity into recommendations for stakeholders
• Carry insight between programs by flagging relevant translational risks
• Prioritize where predictive science creates the most decision value
• Define context-of-use for each engagement
• Translate field discoveries into product requirements for AI and Engineering teams
• Provide domain-expert signal to evaluate output quality
• Prototype novel modeling approaches and review autonomous outputs

Required qualifications

• PhD in a life sciences discipline with quantitative experience, or in a quantitative life sciences discipline (pharmacometrics, systems pharmacology, computational biology, biomedical engineering, or
• Strong knowledge of physiology, molecular biology, and immunology
• Demonstrated expertise building mechanistic models for drug development decisions across multiple therapeutic areas
• Ability to translate scientific complexity into recommendations for non-technical decision-makers
• Excellent communication skills and composure under pressure
• Proficiency in Python scientific computing (scipy, numpy, pandas)
• Proficiency in numerical ODE integration
• Experience operating across multiple concurrent programs and decision types

Nice to have

• Experience applying frontier AI and LLM tools to drug development decisions
• Translational breadth across drug modalities (small molecule, biologic, gene therapy, novel platforms)
• Familiarity with regulatory credibility frameworks (ICH M15, FDA MIDD) and their application to internal decision-making
• Experience in venture-backed or platform-company environments where analysis supports investment decisions

Benefits

• Healthcare coverage
• Annual incentive program
• Retirement benefits
• Broad range of other benefits

About the company

Pioneering Intelligence builds on Flagship Pioneering’s legacy of founding cutting-edge science and computational ventures. It transforms breakthrough ideas into world-changing companies by harnessing advances in AI, machine learning, and data.