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- Tasks: Curate and integrate molecular interaction data for global biological knowledgebases.
- Company: Join EMBL-EBI's Molecular Networks team, a leader in biological data resources.
- Benefits: Enjoy competitive salary, generous leave, hybrid work, and family-friendly perks.
- Why this job: Make a real impact on biomedical research with cutting-edge AI technologies.
- Qualifications: PhD or MSc in relevant life sciences and strong analytical skills required.
- Other info: Dynamic international team with excellent career growth and relocation support.
The predicted salary is between 39636 - 44280 £ per year.
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 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 excluding pension & insurances + benefits (Total package will be dependent on family circumstances)
- International applicants: We recruit internationally and successful candidates are offered visa exemptions.
- 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.
Scientific Data Curator in Saffron Walden employer: EMBL-EBI
Contact Detail:
EMBL-EBI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Scientific Data Curator in Saffron Walden
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of molecular biology and bioinformatics. Attend conferences, webinars, or local meetups to connect with potential employers and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous work in data curation or bioinformatics. This could include projects, publications, or even contributions to open-source databases. Having tangible evidence of your expertise can really set you apart.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of molecular interactions and macromolecular complexes. Be ready to discuss how you've used AI-assisted tools in your previous roles. We want to see your passion for the subject!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, get your CV and cover letter ready and hit that apply button!
We think you need these skills to ace Scientific Data Curator in Saffron Walden
Some tips for your application 🫡
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Make sure to highlight your passion for molecular biology and how your skills align with the role. We want to see your personality come through, so don’t be afraid to let us know why you’re excited about joining our team!
Tailor Your CV: When applying, tailor your CV to showcase relevant experience in biocuration, bioinformatics, or any related fields. Use keywords from the job description to make it clear that you’re a perfect fit for the Scientific Data Curator position. We love seeing how your background aligns with our needs!
Showcase Your Skills: Don’t just list your qualifications; demonstrate them! Include specific examples of your experience with molecular interactions, data curation, or AI-assisted tools. We want to see how you’ve applied your knowledge in real-world scenarios, so be detailed!
Apply Through Our Website: Make sure to submit your application through our online system. It’s the easiest way for us to keep track of your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at EMBL-EBI!
How to prepare for a job interview at EMBL-EBI
✨Know Your Molecular Biology
Make sure you brush up on your molecular biology knowledge, especially around protein interactions and cellular pathways. Be prepared to discuss how your understanding can contribute to the curation of data for resources like IntAct and Complex Portal.
✨Familiarise Yourself with Data Standards
Get to grips with biological databases, ontologies, and controlled vocabularies. Understanding community data standards will be crucial, so be ready to explain how you've used these in past projects or studies.
✨Showcase Your Analytical Skills
Prepare examples that demonstrate your experience in analysing and interpreting scientific literature. Highlight any specific tools or methodologies you've used, especially if they relate to AI-assisted curation or text mining.
✨Emphasise Collaboration
Since this role involves working closely with bioinformaticians and software developers, be ready to discuss your experience in collaborative projects. Share how you’ve successfully worked in international teams and contributed to shared goals.