Principal Scientist, Process Modeling, Digital Insights
Core
Senior technical authority applying first-principles engineering, CFD, and physics-based simulation to define engineering equivalence and inform scale-up decisions for biologics and small-molecule drug substance development.
Role type
Principal Scientist, Process Modeling & Analytics (Biologics/CMC)
Builds
Predictive models for bioreactor scale-up/scale-down, scale-down models, and physics-based assessments for sensitive bioprocess unit operations (harvest, TFF).
Domain
Pharmaceutical bioprocess development (CMC), Biologics, Chemical Engineering
Deliverable
production ML models | product features
Required skills
Chemical engineering fundamentals, Transport phenomena, Fluid mechanics, Mixing theory, Gas-liquid mass transfer, CFD (M-Star, ANSYS Fluent, STAR-CCM+, COMSOL, OpenFOAM), Bioreactor characterization, Scale-down model design, Simulation validation, Python/MATLAB scripting, Engineering leadership, Mentorship
Preferred skills
Industrial biologics experience, Shear sensitivity knowledge, Single-use bioreactor expertise, Population balance modeling, Multiphase methods (Eulerian-Eulerian, VOF), Small-molecule unit operations, Data-driven surrogate modeling
Technologies
M-Star CFD, ANSYS Fluent, STAR-CCM+, COMSOL, OpenFOAM, Python, MATLAB, HPC
Responsibilities
Lead CFD simulations for bioreactor mixing/gassing to define engineering equivalence; Design scale-down models reproducing manufacturing hydrodynamics; Extend modeling to harvest and TFF operations; Own end-to-end modeling project execution; Mentor junior scientists; Shape team modeling roadmap and standards.
Seniority
Principal, hands-on IC with strategic leadership
