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Open nowPosted 8 days ago

Scientific Data Curator Molecular Networks (AI-Assisted Curation)

embl18 open roles

Pay
£3,452 – £3,861 a month
Where
Hinxton, Cambridgeshire
Work mode
Hybrid
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Your applicationOpen nowScientific Data Curator Molecular Networks (AI-Assisted Curation)embl · Hinxton, Cambridgeshire

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. embl postings stay open a median of 21 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 8 days ago

embl median: 21 days open

The posting

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 experience). Monthly salary from £3,452 or £3,861 after tax, plus generous benefits and financial allowances depending on individual circumstances. Excluding 12.99% personal pension and insurance contributions.

Interviews: We plan to hold interviews via Zoom in December 2026. Shortlisted candidates will be contacted with further details.

Why join us

Do something meaningful At EMBL-EBI you can apply your talent and passion to accelerate science and tackle some of humankind's greatest challenges. EMBL-EBI, part of the European Molecular Biology Laboratory, is a worldwide leader in the storage, analysis and dissemination of large biological datasets. We provide the global research community with access to publicly available databases and tools which are crucial for the advancement of healthcare, food security, and biodiversity.

Join a culture of innovation We are located on the Wellcome Genome Campus, alongside other prominent research and biotech organisations, and surrounded by beautiful Cambridgeshire countryside. This is a highly collaborative and inclusive community where our employees enjoy a relaxed atmosphere. We are committed to ensuring our employees feel valued, supported and empowered to reach their professional potential. Watch this video to see how EMBL-EBI makes an impact.

Enjoy lots of benefits:

  • Financial incentives: Monthly family, child and non-resident allowances, annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances
  • Flexible working arrangements - including hybrid working patterns
  • 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 public holidays
  • Relocation package including installation grant (conditions apply)
  • 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, 10 days of child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances
  • Benefits for non-UK residents: Visa exemption, education grant for private schooling, financial support to travel back to your home country every second year and a monthly non-resident allowance.

For detailed information please visit our employee benefits page here.

What else you need to know

  • International applicants: We recruit internationally and successful candidates are offered visa exemptions. Please take a look at our International Applicants page for further information.
  • EMBL is a signatory of DORA. Find out how we apply DORA principles to our recruitment and performance assessment processes here.
  • Diversity and inclusion: At EMBL, we believe that diverse teams drive innovation and scientific excellence. We encourage applications from candidates of all genders, identities, nationalities and/or any other diverse backgrounds.
  • How to apply: To apply please submit a cover letter and a CV through our online system. Applications will close at 23:59 CET on the date shown below. We aim to provide a response within two weeks after the closing date.

Closing Date

29/11/2026

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