Senior Scientist, Machine Learning Research
Core
Develop AI/ML methods to turn large-scale protein interaction data into insights and models for antibody and protein engineering, predicting and engineering protein binding.
Role type
Senior Scientist, Machine Learning Research (IC)
Builds
Production ML models for protein binding prediction and engineering
Domain
Biotechnology / AI for Drug Discovery
Deliverable
production ML models
Required skills
Deep learning (PyTorch, JAX), Protein language models, Inverse folding, Protein structure prediction, Data science best practices, Model deployment at scale
Preferred skills
AWS, Large language models (LLMs), Agentic AI tools, High-throughput biology data analysis
Technologies
PyTorch, JAX, VAEs, Transformers, GNNs, Diffusion, Flow matching
Responsibilities
Design and implement novel AI/ML approaches for protein-protein interactions; Design benchmarks to assess model performance and generalization; Generate deliverables (data packages, model executables, technical reports); Contribute to shared codebase and database; Propose and analyze experiments to advance scientific capabilities; Provide technical leadership and mentorship.
Seniority
Senior, hands-on IC
