(Senior) Scientist, Machine Learning

Role: (Senior) Scientist, Machine Learning at Expedition Medicines, focusing on developing AI models that link chemoproteomics data with quantum chemistry and molecular design to accelerate covalent drug discovery. Responsibilities: create and evaluate machine learning approaches connecting molecular features, reactivity, and proteome-wide engagement data; develop benchmarks; collaborate with medicinal chemistry to refine models for compound design and prioritization; perform data curation and pipeline development; partner with cross-functional teams to translate platform insights into actionable discoveries; and assist in productionizing modeling workflows. Requirements: Ph.D. in machine learning, chemistry, physics, or related field with 2+ years industry experience or M.S. with 6+ years; expertise in quantum chemistry, DFT, electronic structure; experience with graph neural networks, generative models, and molecular ML; proficiency in Python, ML frameworks (PyTorch), and cheminformatics tools; familiarity with covalent chemistry and chemoproteomics preferred. HighValue: molecular modeling, covalent chemistry, chemoproteomics, generative drug design, quantum chemical descriptors, collaborative cross-disciplinary research. Location: Cambridge, MA. The role demands a highly collaborative, rigorous scientist capable of independently driving projects in a fast-paced innovation environment.