Senior Scientist, Machine Learning (Biologics Design)

What you'll do

• Develop and apply machine learning models for biologics design to support lead optimization decisions.
• Implement data-efficient modeling strategies using limited experimental data to guide iterative experimentation.
• Apply modern deep learning approaches relevant to biologics, including protein language models and generative methods.
• Perform structure-based modeling and analysis of antibodies and multispecifics.
• Translate computational results into actionable experimental decisions in collaboration with therapeutic teams.

What we're looking for

• PhD in a quantitative field with 2+ years of relevant experience
• Expertise in Python and deep learning frameworks like PyTorch or JAX
• Experience developing and evaluating complex deep learning models
• Strong understanding of protein structure, antibody architecture, and biophysical principles
• Demonstrated research productivity with clear communication skills