Bioinformatician – Structural Proteomics & Integrative Modelling
Listed on 2026-10-16
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Research/Development
Data Scientist
We are seeking a Bioinformatician with expertise in structural biology, proteomics and integrative/hybrid structure modelling to join the Velankar team at the European Bioinformatics Institute (EMBL-EBI). The Protein Data Bank in Europe (PDBe) team develops essential macromolecular structure resources and tools for biologists and other life scientists. As a founding partner of the Worldwide Protein Data Bank, we maintain the global archive of experimentally determined macromolecular structures, the Protein Data Bank (PDB).
We also manage the community-led PDBe Knowledge Base (PDBe-KB) and the Alpha Fold Protein Structure Database (AFDB), a collaboration with Google Deep Mind. The team brings together scientists, software engineers and data engineers to develop tools and services for structure deposition, data integration, advanced search and biological interpretation. This is an exciting opportunity to develop FAIR infrastructure for structural interactomics and integrative/hybrid modelling.
The project will connect experimental proteomics evidence, including crosslinking mass spectrometry (XL-MS), co-fractionation mass spectrometry (CF-MS) and affinity-purification mass spectrometry (AP-MS), with structural restraints, predicted structures, integrative models and molecular interaction data. Working in close partnership with colleagues in PRIDE and wwPDB, you will help establish the data standards, deposition workflows, validation approaches and access services needed to make these interconnected datasets discoverable, interpretable and reusable.
The role is ideal for a scientist who enjoys working across disciplines and wants to make a lasting contribution to open scientific infrastructure.
You will contribute to the development of standards and infrastructure that connect structural interactomics experiments, proteomics evidence and integrative structure models. You will work at the interface of structural biology, proteomics and scientific software development, applying both biological understanding and technical expertise to improve the interoperability, provenance and reuse of these data. A central component of the role will be developing practical approaches for representing experimental context and linking evidence across repositories to streamline data deposition.
You will contribute to the extension and adoption of established community standards, including those for proteomics metadata and identifications, and develop tools that support the conversion, validation and deposition of standard-compliant data. You will work closely with international collaborators, community standards organisations, data-resource providers and developers of analysis tools. The resulting infrastructure will enable researchers to move transparently from proteomics evidence and structural restraints to integrative models, molecular interactions and biological annotation.
Your main responsibilities will include:
- Analyse current XL-MS, CF-MS, AP-MS and integrative modelling workflows to define data and metadata requirements.
- Contribute to the extension and adoption of community standards for structural interactomics and integrative modelling data.
- Develop data models and interoperable software tools that connect proteomics and structural biology formats, including suitable conversion of proteomics outputs into integrative modelling representations.
- Develop and maintain tools, APIs, workflows and documentation that support standard-compliant data deposition and local validation.
- Implement approaches for cross-modality validation, identifier mapping and provenance tracking between experimental evidence, structural restraints and integrative models.
- Work with PRIDE and PDB-IHM…
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