PK/PD and QSP modeler, Neuroscience – Principal Scientist / Associate Scientist, DMPK & Modeling
Core
Build quantitative mathematical models to influence drug discovery and development decisions for novel therapeutics targeting neurological diseases including neurodegeneration and neuromuscular diseases.
Role type
Principal/Associate Scientist, PK/PD and QSP Modeler
Builds
Translational PK/PD/efficacy, mechanistic, and systems models for drug candidates
Domain
Neuroscience drug discovery and development (DMPK & Modeling)
Deliverable
production ML models | product features
Required skills
Mathematical modeling of biological systems, Quantitative analysis of complex data, Study design optimization, Biomarker selection, Cross-functional collaboration, Clinical trial prediction
Preferred skills
Experience applying modeling to neurological diseases, Reverse translation of clinical comparator data
Technologies
MATLAB, SimBiology, NONMEM, Monolix, Phoenix, Python, R
Responsibilities
Design and build models to support drug candidate selection and study design optimization; Enable translational predictions of human pharmacologically active/efficacious dose and safety margin; Collaborate with cross-functional teams to understand target pathway interactions and disease progression; Formulate and implement modeling & simulation strategies.
Seniority
Senior, hands-on IC
