Senior ML Scientist, AI for Protein Engineering

Build and lead applied machine learning workflows for protein engineering campaigns, taking designs from specification through experimental learning. Develop de novo generation, property prediction, candidate selection, and active learning methods, then integrate them into robust software and autonomous reasoning models. Translate therapeutic and biological questions into ML problem definitions and evaluation plans, collaborate with experimental scientists to learn from successes and failures, and establish rigorous generalization evaluation frameworks.