Associate Principal Scientist, Downstream Bioprocess Modeling, Digital Insights
Core
Build and validate mechanistic models for downstream biologics processes (chromatography, viral inactivation, UF/DF) to guide resin selection, cycle design, and scale-up decisions.
Role type
Associate Principal Scientist (Process Modeling & Analytics)
Builds
Calibrated column and unit-operation models for drug substance and product development
Domain
Biopharmaceuticals / Downstream Bioprocessing / Chemical Engineering
Deliverable
production ML models | product features
Required skills
Mechanistic chromatography modeling, Parameter estimation, Rate models (general-rate, lumped), Isotherm formulations, CADET/GoSilico, Scale-up decision making, Technical mentorship
Preferred skills
Python fluency, Machine learning for modeling, High-throughput chromatography data integration, Continuous processing, Technology transfer experience
Technologies
CADET, GoSilico, Python
Responsibilities
Build and validate mechanistic chromatography models; Design isotherm and mass-transfer parameter estimation studies; Apply models to guide process decisions; Extend modeling to adjacent unit operations; Mentor junior scientists; Shape team modeling roadmap
Seniority
Senior, hands-on IC with mentorship responsibilities
