Research Scientist, Biomolecular Structure Foundation Models, (Seed AI-for-Science) - 2026 Start (PhD)

Understanding biological structure is central to deciphering the mechanisms of life and advancing drug design. We are developing next-generation, structure-centric, multimodal foundation models that power key applications-from complex structure prediction and functional modeling to de novo molecular design.We are a cross-disciplinary team of experts in machine learning, structural biology, computational chemistry, and bioinformatics, supported by strong engineering infrastructure and access to large-scale compute resources. We aim to develop open, high-precision, generalizable models that drive breakthroughs in biology and drug discovery.

Responsibilities:1) Collaborate closely with a multidisciplinary team of ML researchers, computational biologists, and chemists to tackle cutting-edge scientific challenges in molecular modeling.2) Develop and optimize large-scale models that integrate diverse biological modalities (e.g., sequences, 3D structures, molecular properties) to address complex biomolecular challenges-ranging from conformational landscape modeling to interaction and binding affinity prediction, and design of proteins and small molecules.3) Stay current with advances in machine learning and proactively integrate cutting-edge techniques into our biomolecular models.

What We Offer1) A collaborative, impact-driven environment at the intersection of biology and AI.2) Access to cutting-edge compute infrastructure and proprietary tools.3) Opportunities to contribute to open science and transformative technologies in drug discovery.