(Senior) Scientist, Machine Learning
Core
Develop and apply machine learning approaches to connect chemoproteomics data with quantum chemistry and generative molecular design for covalent drug discovery.
Role type
Senior Scientist, Machine Learning (Drug Discovery)
Builds
AI platform for covalent drug discovery linking experimental data to electronic structure and reactivity features
Domain
Biotechnology / Computational Drug Discovery / Quantum Chemistry
Deliverable
production ML models
Required skills
Machine learning, Quantum chemistry, DFT, Molecular representation, Generative models, Data curation, Python, Cheminformatics
Preferred skills
Graph neural networks, Geometric deep learning, Diffusion models, Active learning, Medicinal chemistry collaboration, Scalable data processing
Technologies
PyTorch, PyTorch Geometric, DGL, RDKit, ORCA, Gaussian, Q-Chem
Responsibilities
Develop ML methods for quantum chemical features and reactivity modeling; Design rigorous benchmarks for model validation; Apply foundational models to drug discovery programs; Perform hands-on data curation and dataset construction; Develop scalable featurization pipelines; Collaborate with chemistry and biology teams; Partner with engineering to productionize workflows
Seniority
Senior, hands-on IC
