Associate Director & Senior Principal Data Science, AI for Biologics
Core
Lead scientific innovation in AI-enabled biologics, antibody discovery, protein engineering, and protein design to translate complex drug-discovery challenges into high-value AI opportunities.
Role type
Senior IC & Strategy-level Principal Data Scientist (AI for Biologics)
Builds
Reusable AI capabilities for protein structure prediction, biological foundation models, and generative molecular design
Domain
Biopharmaceuticals / Computational Biology / AI for Drug Discovery
Deliverable
production ML models
Required skills
Machine Learning, Deep Learning, Generative AI, Protein Language Models, Structural Biology, Biologics, Antibody Discovery, Model Evaluation, Scientific Leadership
Preferred skills
Molecular Dynamics, Statistical Potentials, Structural Bioinformatics, Publications, Patents
Technologies
Python, R, SQL, Pandas
Responsibilities
Lead cross-functional proof-of-concept studies connecting computational performance with experimental validation; Mentor scientists and data scientists; Build strategic collaborations with academia and biotechnology companies; Provide evidence-based recommendations on emerging technologies; Influence scientific strategy by communicating uncertainty and potential value to senior stakeholders.
