Bioinformatician - Structural Proteomics & Integrative Modelling
EMBL-EBI - European Bioinformatics Institute
Hinxton, United Kingdom
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).
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.
Your role
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 colleagues to establish linked deposition, release and access workflows across relevant resources;
- Contribute to integrated search, visualisation and programmatic access services for structural interactomics data;
- Engage with researchers, analysis-tool developers and standards communities to support testing, adoption and further development of the infrastructure;
- Contribute to scientific publications, technical documentation, training and dissemination activities.
You have
- PhD in Bioinformatics, Computational Biology, Structural Biology, Proteomics, Computer Science or a related field;
- Familiarity with structural biology, protein structure or molecular interaction data;
- Experience working with biological data, metadata, identifiers and scientific repositories;
- Understanding of sequence, structure and functional annotations of proteins;
- Experience in scientific software development, preferably using Python;
- Experience designing or implementing data-integration workflows, APIs or data-processing pipelines;
- Familiarity with FAIR data principles, metadata standards and reproducible research practices;
- Experience with Linux environments, Git, testing and documentation practices;
- Scientific publications relevant to structural biology, bioinformatics, proteomics or biological data resources;
- Strong communication, collaboration and problem-solving skills.
You might also have
- Familiarity with integrative/hybrid modelling, structure prediction or macromolecular modelling;
- Experience with mass-spectrometry-based proteomics, particularly XL-MS, CF-MS or AP-MS;
- Experience with community data standards, such as IHMCIF, mmCIF, mzIdentML, SDRF-Proteomics;
- Experience developing data validators, conversion tools, deposition systems or scientific web services;
- Familiarity with REST APIs, databases, containerisation technologies or workflow-management systems;
- Experience in data visualisation and analysis;
- Experience using AI-assisted coding tools responsibly, with appropriate testing, code review, documentation and validation;
- Experience working in international and interdisciplinary teams;
- Experience reporting and presenting scientific topics.
#J-18808-Ljbffr
Bioinformatician - Structural Proteomics & Integrative Modelling employer: 1000scholars
ICNARC is an exceptional employer, offering a collaborative and innovative work environment where statisticians can thrive alongside a multidisciplinary team dedicated to improving critical care through research and audit. With a strong commitment to employee growth, flexible working arrangements, and a comprehensive benefits package, including generous holiday entitlement and support for professional development, ICNARC fosters a culture of inclusivity and scientific excellence that makes it an attractive place for passionate individuals seeking meaningful contributions to healthcare.
