Description
Brookhaven National Laboratory is hiring an on-site Postdoctoral Research Associate to develop AI and machine learning methods for interpreting complex crystallographic data in structural biology. The role focuses on improving ligand placement, building and curating training datasets, designing AI models for 3D structural data, developing time-resolved crystallography workflows, integrating molecular dynamics, and benchmarking protein foundation models. The position requires a Ph.D. in a relevant field, expertise in machine learning or AI, experience with molecular dynamics and computational workflows, and a publication record. It is a two-year term with possible renewal, pays $75,000–$95,000 per year, and is subject to Brookhaven National Laboratory credentialing requirements.
