Senior Data Scientist - Protein Structure ML models
Core
Build, adapt, and validate machine learning models to predict protein function from structure, focusing on antibodies and antibody-like molecules for biologics discovery.
Role type
Senior IC machine-learning engineer (protein structure & antibody design)
Builds
Production ML models for protein function prediction, structure generation, and inverse-folding pipelines
Domain
Biopharma / Structural Biology / Machine Learning
Deliverable
production ML models
Required skills
Python, PyTorch or JAX, protein structure modeling, graph neural networks, equivariance-aware methods, generative protein tools (RFdiffusion, Boltzgen), inverse design tools (ProteinMPNN), wet-lab collaboration
Preferred skills
Extending open-source structure prediction tools, small molecule structural modeling, end-to-end protein design pipelines
Technologies
PyTorch, JAX, RFdiffusion, Boltzgen, ProteinMPNN
Responsibilities
Develop ML models to predict protein function from structure; design and maintain validation tasks for antibody binding models; partner with wet-lab scientists to guide assay design and data collection; develop integrated workflows combining structure prediction, generation, and inverse-folding
Seniority
Senior, hands-on IC