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Research Computing Storage Administrator

Job in Oxford, Oxfordshire, OX1, England, UK
Listing for: Corehr
Full Time position
Listed on 2026-09-25
Job specializations:
  • Research/Development
    Data Scientist
  • IT/Tech
    Data Scientist
Salary/Wage Range or Industry Benchmark: 52000 - 76000 GBP Yearly GBP 52000.00 76000.00 YEAR
Job Description & How to Apply Below

UK date and time: 24-September-2026 11:59

Research Computing Storage Administrator

Digital and Information Services, Central Oxford

Help shape the storage infrastructure that enables researchers across the University to work securely and effectively with large-scale, data-intensive computing. This is an exciting opportunity for a self-directed Research Computing Storage Administrator to contribute to a new unit being established at the University, bringing specialist storage and Linux expertise to help shape an evolving research computing service spanning HPC, HTC, research data and emerging AI platforms.

Location

Central Oxford / Begbroke Science Park

Contract

Full Time, Fixed Term Contract until 31 July 2029, with the expectation of extension, subject to funding

About Us

Spanning the historic streets of the “city of dreaming spires”, the University of Oxford has been ranked the world's leading university for ten consecutive years. A place where centuries of tradition meet world-changing innovation, we offer you the chance to shape the future while working in an inspiring environment that promotes excellence. Here, you’ll contribute to an organisation which delivers ground-breaking research that tackles global challenges - from advancing sustainability to pioneering healthcare solutions - and join a diverse, inclusive community that champions your wellbeing, development, and aspirations.

What We Offer

Working at the University of Oxford offers several exclusive benefits, such as:

38 days of annual leave (inclusive of public holidays) to support your wellbeing, with the option to purchase up to 10 extra days and additional leave after long service.

One of the most generous family leave schemes in UK higher education, offering up to 26 weeks of full-pay maternity and adoption leave, plus 12 weeks of full-pay paternity/partner leave.

A commitment to hybrid and flexible working to suit your lifestyle.

Affordable and sustainable commuting options, including a cycle loan scheme, discounted bus travel, and season ticket loans.

Access to a vibrant community through our social, cultural, and sports clubs.

A Rental Deposit Loan Scheme for eligible new employees to access an interest-free loan to help cover the cost of a rental deposit in Oxford.

About the Role

This new Research Computing Storage Administrator role will help develop the storage foundations of the University’s evolving research computing environment. You will maintain, improve and integrate storage services supporting established HPC and HTC clusters alongside the developing Trusted Research Environment and Research File Service, helping researchers move, manage and use data securely across increasingly complex computing platforms.

The role will suit a self-directed technical specialist who is comfortable taking ownership, applying their judgement and helping to shape services as the new unit develops. Working with technical specialists across OxRC and colleagues in information security, information governance and research teams, you will tackle complex storage challenges and contribute expertise across technologies including parallel file systems, Ceph-based storage, Linux, high-speed networking and data movement.

You will also help develop controlled dataflows, including Globus-based services, and support the evidence, documentation and guidance needed for secure and compliant research data services.

Joining OxRC at this stage provides a distinctive opportunity to influence how research storage services are developed and integrated from an early point in the unit’s evolution. Your technical expertise and initiative will help create resilient, scalable storage capabilities for data-intensive research and emerging AI workloads, while…

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