Join the Molecular Networks team at EMBL-EBI and help build the next generation of biological knowledge resources used by researchers worldwide. Our team develops and operates internationally recognised data resources including IntAct and Complex Portal, which provide expertly curated information on molecular interactions and macromolecular complexes. These resources support systems biology, drug discovery, and biomedical research by making complex biological knowledge accessible through high-quality curation, modern data services, and programmatic APIs. We are seeking a Scientific Data Curator to contribute to the curation and integration of molecular interaction and macromolecular complex data. In this role, you will work at the intersection of biocuration, bioinformatics, and emerging AI-assisted curation technologies, helping to extract and structure biological knowledge from the scientific literature and integrate it into internationally used biological databases. Your role This is an exciting opportunity to contribute to globally used biological knowledgebases IntAct and Complex Portal. You will curate and integrate biological knowledge about molecular interactions and macromolecular complexes, ensuring that the data captured in these resources is accurate, consistent, and useful to the international scientific community. Working closely with bioinformaticians, software developers, and international collaborators, you will contribute to the development of modern curation workflows that combine expert manual curation with AI-assisted literature mining and knowledge extraction tools. Your responsibilities will include: Curating molecular interaction and complex information from the scientific literature and direct user data depositions Capturing biological knowledge using controlled vocabularies, ontologies, and community data standards Validating and improving data extracted through AI-assisted literature mining tools Collaborating with software developers to improve biocuration tools and curation pipelines Contributing to the development and application of community standards for molecular interaction data Supporting data integration with other EMBL-EBI resources and international biological databases Engaging with the scientific community to ensure high-quality representation of experimental data As part of the team, you will interact with an international community of researchers, database users, and collaborators, helping ensure that the curated knowledge captured in these resources remains accurate, comprehensive, and accessible. You have A PhD or MSc in molecular biology, bioinformatics, systems biology, or a related life science discipline Strong understanding of molecular biology, protein interactions, or cellular pathways Experience in analysing and interpreting scientific literature Familiarity with biological databases or bioinformatics resources Experience in data curation, knowledge representation, and biological data standards Strong interest in intelligent use of AI Experience in LLM use in a biological data context Ability to work with structured data and attention to detail Strong organisational and analytical skills Ability to work both independently and collaboratively in an international team Excellent communication, interpersonal, and English language skills You may also have Experience with biocuration and/or annotation of biological databases Experience with ontologies and controlled vocabularies (e.g. Gene Ontology or PSI-MI) Experience using bioinformatics tools or scripting languages (e.g. Python or R) Experience in text mining, natural language processing, or AI-assisted literature analysis Experience working with large biological datasets, and with analytical/visualisation tools such as Cytoscape Experience collaborating in international scientific projects or consortia Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/marriage allowance of £278 monthly child allowance of £336 per child. Non resident allowance up to £569 per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances Hybrid working arrangements Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover) Generous time off : 30 days annual leave per year, in addition to eight bank holidays Relocation package including installation grant (as applicable) Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely) Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances Contract duration: This position is a 3 year contract renewable up to 9 years Salary: Monthly salary starting at £3303 or £3695 after tax but excl. pension & insurances) benefits (Total package will be dependent on family circumstances) International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants. Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ and individuals from all nationalities. Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you. To apply, please submit a covering letter and CV via our online system. Applications will close on 12/04/2026 .