UCL’s Centre for Advanced Research Computing (ARC) is looking for a Research Data Steward to join its team in London. This is a permanent, full-time hybrid role. UCL can sponsor a Skilled Worker visa for eligible international applicants.

Salary: £43,981–£52,586 per year (including London Allowance)

Why this role might suit you

- UCL is a globally recognised university with strong support for international staff, including immigration guidance and relocation assistance.
- The ARC team supports large-scale computing, datasets and innovative research methods across many disciplines — a great place to grow technical skills and work with diverse research communities.
- The role combines practical data-management work with collaboration and teaching, so it suits people who enjoy both hands-on technical tasks and explaining complex ideas clearly.

What you will do

- Provide expert advice and operational support for managing, curating and preserving research data through its full lifecycle.
- Help researchers follow FAIR data principles (Findable, Accessible, Interoperable, Reusable) and meet funder and institutional policies.
- Work with colleagues across social sciences, humanities, climate science and other areas to improve data governance and stewardship.
- Recommend strategies for storage, metadata, documentation and long-term preservation.
- Use programming, cloud platforms and database tools to support data-intensive research.
- Contribute to ARC’s innovation projects in digital scholarship and computational research.

Who we’re looking for

- Experience supporting or conducting data-intensive research.
- A good understanding of research data lifecycle management and FAIR principles.
- Technical skills in Python (or similar), and familiarity with cloud services and databases (for example SQL or SPARQL).
- The ability to explain technical concepts clearly to non-technical audiences.
- Experience in social sciences, digital humanities, climate science or similar areas is a bonus.
- A commitment to ongoing learning and professional development.
- Eligibility for Skilled Worker visa sponsorship is required (UCL will support the sponsorship process for eligible candidates).

How to apply

- If this sounds like a good fit, follow the application link on UCL’s careers page and include a clear CV plus a short cover letter explaining your data experience and motivation to work at UCL.
- In your application, mention any relocation needs or visa questions so UCL’s recruitment team can advise you.

Click Here to Apply

Final note

This role provides a stable route to work in the UK with institutional visa sponsorship, access to advanced research infrastructure, and supportive teams for international staff. If you’re an African or Asian researcher or research technologist eager to apply your data skills in a collaborative university environment, we encourage you to apply.