Process modeling (Protein/Antigen) Principal Data Scientist
Core
Lead the development and deployment of AI, machine learning, mechanistic, and hybrid modeling solutions to accelerate recombinant protein vaccine process development and manufacturing.
Role type
Principal Data Scientist (Process Modeling)
Builds
Digital twins, simulation tools, and decision-support frameworks for vaccine manufacturing
Domain
Biopharmaceuticals / Vaccine R&D / Process Engineering
Deliverable
production ML models
Required skills
AI, machine learning, mechanistic modeling, hybrid modeling, multivariate data analysis, Bayesian optimization, Design of Experiments, Python, R, MATLAB, gPROMS
Preferred skills
Digital twins, process simulation, CHO cell culture modeling, protein purification optimization, cell line development modeling
Technologies
Python, R, MATLAB, JMP, gPROMS, GoSilico
Responsibilities
Lead development of AI/ML and hybrid modeling solutions for vaccine manufacturing; Apply advanced analytics to identify critical process parameters and optimize yield; Develop modeling solutions for upstream processes (CHO, baculovirus); Support optimization of downstream purification operations; Build and deploy digital twins and simulation tools; Provide scientific leadership and mentorship in data science and process modeling.
Seniority
Principal, hands-on IC with mentorship
