GeneralDiffUSE

ABOUT DIFFUSE DiffUSE is a project at the Astera Institute building open infrastructure for studying protein dynamics directly from experimental data. We work at the interface of structural biology (crystallography, cryo-EM), modern machine learning, computational biophysics, and open scientific tooling. Our team spans computational biologists, ML researchers, software engineers, and program staff, collaborating across Astera, Radial, and partner institutions. We are growing, and we want to hear from people who would be excited to join us, even if we have not yet posted the specific role that fits you. - Submit your CV and one paragraph telling us what you can contribute to diffUSE - We review submissions on a rolling basis - If there is a fit now or in the near future, we will reach out - We will only respond if we are interested in exploring further ROLE CATEGORIES WE'RE ACTIVELY BUILDING AROUND Computational and data science - Diffraction data processing and structural data pipelines - Multiconformer and heterogeneity analysis from large datasets - Data standards work (mmCIF and related) - Macromolecular ensemble metrics Machine learning research for macromolecules and biophysics - Representation learning for protein dynamics - ML on raw experimental data rather than processed structures - 3D vision and geometric deep learning backgrounds especially welcome Dataset generation and open release - Designing and running campaigns to generate large structural datasets - Partnering with external collaborators to open and standardize existing datasets - Bridging experimental facilities, data producers, and the open-science community Software and infrastructure engineering - Scientific data infrastructure, pipelines, and tooling - Open-source release engineering, reproducibility, and developer experience Program and operations - Program management, scientific coordination, communications - Open-science publishing and community building WHAT WE LOOK FOR ACROSS ALL ROLES -