Principal Scientist, Translational Modeling & Decision Science
Core
A Principal Scientist who uses mechanistic modeling and quantitative analysis to reduce scientific uncertainty in drug development and investment decisions, bridging the gap between AI capabilities and real-world impact across a therapeutic portfolio.
Role type
Principal Scientist, Translational Modeling & Decision Science
Builds
Quantitative opinions, translational predictions, and strategic recommendations for milestone decisions and competitive assessments.
Domain
Biopharmaceuticals / AI for Drug Discovery
Deliverable
production ML models | dashboards & analysis
Required skills
mechanistic modeling, quantitative analysis, uncertainty quantification, pharmacological success probability estimation, cross-portfolio pattern recognition, regulatory credibility concepts (ICH M15, FDA MIDD), product requirement definition, autonomous output review
Preferred skills
none stated
Technologies
none stated
Responsibilities
Produce quantitative opinions on due diligence, milestone, and program decisions; Deliver translational predictions with stated confidence and boundary conditions; Quantify probability of pharmacological success by integrating uncertainty; Carry insights between programs to flag relevant translational risks; Translate field discoveries into product requirements for AI teams; Prototype novel modeling approaches to prove feasibility.
Seniority
Principal, strategy & mentorship
