General DiffUSE Job Application

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

• Familiarity with protein biophysics and the experimental methods that generate structural data
• High agency: you identify what needs doing and move it forward without waiting for direction
• Ability to drive projects and people, including collaborators outside your reporting line
• Comfortable owning a problem end-to-end and unblocking collaborators
• Strong commitment to open science and public-good infrastructure
• Comfort working at the boundary between disciplines
• Bias toward shipping, iteration, and rapid feedback
• Clear written and verbal communication
• Track record of independent work inside collaborative teams