Senior Scientist, AI/ML (Biologics Design)

What you'll do

• Develop novel machine learning approaches to support biologics discovery and lead optimization.
• Apply protein language models, foundation models, and representation learning for therapeutic protein design.
• Build predictive models linking sequence, structure, and experimental measurements to key molecular properties.
• Create structure-aware learning methods that incorporate protein conformation and molecular context.
• Design and evaluate generative methods to explore protein sequence space and propose improved candidates.
• Integrate diverse data sources including biophysical characterization and functional screening into ML workflows.
• Implement active learning and data-efficient modeling strategies for programs with limited experimental data.
• Collaborate with multidisciplinary teams of engineers and biologists to drive project decisions and accelerate optimization.

What we're looking for

• Ph.D. in Computational Biology, Machine Learning, Computer Science, Structural Biology, Biophysics, Bioengineering, or a related quantitative field.
• Demonstrated experience developing and applying machine learning methods to biological or molecular problems.
• Strong programming skills in Python and experience with modern ML frameworks such as PyTorch or JAX.
• Experience building, training, and evaluating deep learning models including representation, geometric, multimodal, or generative modeling.
• Strong understanding of protein structure and sequence-function relationships.
• Proven scientific productivity through publications, open-source contributions, or impactful research projects.
• Excellent communication and collaboration skills within multidisciplinary scientific teams.