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
Contract length: 3 years, renewable to a maximum of 9 years.
Salary : Grade 5 or 6 (depending on qualifications and…