Principal Scientist, Predictive Sciences
Core
Build and deploy mechanistic, hybrid, and data-driven predictive models (including digital twins) and agentic AI systems to accelerate biologics CMC process development from bench to patient.
Role type
Principal Scientist, Predictive Sciences (AI/ML & Process Modeling)
Builds
Production-ready predictive models, agentic AI workflows, and shared modeling infrastructure for biologics process development.
Domain
Biologics CMC, Bioprocess Engineering, Artificial Intelligence, Machine Learning
Deliverable
production ML models
Required skills
Mechanistic/hybrid/data-driven modeling, Python (NumPy, SciPy, PyTorch), CMC development principles, MLOps/deployment, Model interpretability, Regulatory framework knowledge (ICH Q8/Q9/Q10/Q11)
Preferred skills
gPROMS, SIMCA, JMP, MATLAB, FAIR data principles, Academic publishing
Technologies
Python, NumPy, SciPy, PyTorch, gPROMS, SIMCA, JMP, MATLAB
Responsibilities
Build advanced process models for upstream/downstream operations; Design agentic AI systems for autonomous experimental design; Translate mathematical models into validated computational tools; Champion adoption of digital CMC workflows; Build and sustain the modeling ecosystem; Present insights to senior stakeholders and regulatory teams.
Seniority
Principal, high scientific autonomy IC
