Principal Scientist, Translational PK/PD Modeling
Core
Develop and implement quantitative and mechanistic PK/PD models to inform preclinical-to-early clinical translation, including human efficacious dose predictions and first-in-human dose selection.
Role type
Principal Scientist, Translational PK/PD Modeling
Builds
Quantitative and mechanistic mathematical PK/PD models for therapeutic discovery and development
Domain
Pharmaceutical industry, Pharmacokinetics/Pharmacodynamics (PK/PD)
Deliverable
production ML models
Required skills
Quantitative and mechanism-based PK/PD modeling, Non-compartmental analysis, Compartmental modeling, PBPK modeling, Mathematical modeling, Biotherapeutic modalities knowledge, Modeling and simulation platforms, Preclinical PK data interpretation, Multidisciplinary team collaboration, Scientific publishing
Preferred skills
Biotherapeutic modalities (monoclonal/bispecific antibodies, gene therapy, CAR-T, siRNAs), Emerging therapeutic modalities
Technologies
Monolix, Phoenix NLME, NONMEM, ADAPT, MATLAB, SimBiology
Responsibilities
Develop and implement quantitative and mechanistic mathematical PK/PD models, Contribute to the advancement and strategic direction of modeling and simulation sciences, Provide expert support to pre-clinical PK/PD project representatives and R&D project teams, Integrate and summarize modeling and simulation analyses for multidisciplinary project teams, Collaborate with subject matter experts in Clinical Pharmacology and Quantitative Pharmacology, Present work at internal/external scientific meetings and publish in scientific journals
Seniority
Principal, strategy & mentorship