Principal Research Scientist I - Bio CMC Developability Modeling
Core
Lead modeling efforts to develop models of protein structure and function, utilizing biophysical and analytical instrumentation to assess drug candidates and solve foundational questions like viscosity, chemical degradation, and aggregation.
Role type
Principal Research Scientist (Bio CMC Developability Modeling)
Builds
Production ML models and statistical frameworks for protein stability and formulation screening
Domain
Biopharmaceuticals / Protein Science / Machine Learning
Deliverable
production ML models
Required skills
mechanistic and statistical modeling of protein stability, predictive machine learning, deep learning architectures, feature attribution, sensitivity analysis, model interpretability, biochemistry experimentation design
Preferred skills
knowledge of high throughput instrumentation, digital data systems, patent application preparation
Technologies
deep learning frameworks, hierarchical/multi-task ML frameworks
Responsibilities
Serve as technical expert for modeling within the Biologics CMC Developability Team, perform in vitro laboratory experiments to build models of protein solution behavior, identify and integrate emerging scientific trends, present data at conferences and prepare manuscripts, coordinate developability assessment activities for Discovery Projects
Seniority
Principal, hands-on IC with strategy & mentorship