Person Requirements

Education / Qualifications / Training required (will be assessed from the application form):
Essential

• A degree in a computing/scientific research/engineering subject with a significant computational component, or equivalent skills and experience. Significant experience of working at a high-level within a relevant area

Desirable

• Industry-standard Linux certifications (e.g. RHCA, RHCSA)
• Current qualifications in project management (e.g. PRINCE2)
• Knowledge, experience, or qualification in cloud computing
• Knowledge or education to a higher level within a scientific field

Knowledge and experience required (will be assessed from the application form and at the interview):
Specific Role Competencies
Essential

• Hands-on experience supporting and administering Linux-based systems in an HPC, research, academic, or production environment
• Experience in configuration and maintenance of multi-queue job scheduling systems (e.g. SLURM)
• Experience in the use of scientific software compilation and deployment systems (e.g. Spack, EasyBuild, Lmod, conda)
• Virtualisation and containerisation deployment and management (e.g. Docker, Singularity)
• Ability to work closely with multidisciplinary research teams, understand scientific computing needs, and deliver practical services that advance scientific goals
• Knowledge of scripting (e.g., Bash) and version control systems (e.g., Git/GitHub) to support reproducible and collaborative research
• Integration of heterogeneous Linux/Windows/Mac environments (e.g. Active Directory)
• Ability to troubleshoot issues across systems, networking, storage, identity, containers, schedulers, and user workloads, and to follow problems through to a reliable operational fix
• Experience with automation tooling (e.g. Salt, xCAT)
• Maintain awareness of HPC cyber security principles, best practices, and emerging threats
• High attention to detail and accuracy to effectively analyse and interpret complex data and use it solve to complex technical problems quickly and effectively though leadership, delegation and the ability to deep-dive when necessary

Desirable

• Exposure to computational research involving GPU, including AI/ML methods applied to biomedical problems
• Experience supporting GPU-accelerated workloads, NVIDIA tooling, CUDA-aware environments, and/or AI/ML and bioinformatics workloads on shared compute platforms.
• Familiarity with bioinformatics or scientific workflow frameworks (e.g., Nextflow, Snakemake, WDL/Cromwell), and an understanding of reproducible pipeline design
• Experience working in a scientific, academic, life-science, or research computing environment where requirements evolve through close collaboration with researchers
• Knowledge of tools that support reproducible research and automation (e.g., CI/CD pipelines, workflow testing, IaC tools like Ansible and Terraform)
• Familiarity with large-scale biological data types (e.g., from genomics, EM or confocal microscopy, medical imaging, phenomics) and associated storage/access challenges
• Familiarity with identity, access, and security controls in Linux or research environments, least-privilege access, and security patching.
• Experience of C, R, or Python programming
• Experience with GPU-focused hardware and software
• Experience monitoring and optimising research workloads and system performance, using tools such as Grafana, Prometheus, Arbiter2

People Leadership
Desirable

• Motivating and developing staff to utilise HPC effectively through HPC onboarding and training
• Project managing work packages within and between groups
• Resolving complaints and in conflict resolution

Personal Skills / Behaviours / Qualities (will be assessed at the interview):
Essential

• Excellent verbal and written communication skills
• Able to self‑motivate when working independently, on projects, and collaboratively within a team
• Effectively plans, multitask, and prioritises workload to achieve results, adapting quickly while maintaining control in challenging situations
• Ensures appropriate engagement of colleagues with relevant stakeholders and issues
• Ability to develop and encourage cross-boundary working relationships and to work collaboratively
• Contribute positively to IT and cross-functional teams and shares knowledge and skills

Additional information

Please upload your CV, the names and contacts of two references, along with a cover letter stating why you are applying for this post (showing evidence against the requirements as per the Job Description and Person Specification). Please quote reference number LMS 2914

Please note that final appointment will be subject to pre-employment screening.

Please note that applications may be reviewed by both LMS and Imperial staff

Closing date: 18 October 2026

UKRI - UK Research and Innovation

UKRI is an organisation that brings together the seven disciplinary research councils, Research England and Innovate UK. Together, we build an independent organisation with a strong voice and vision ensuring the UK maintains its world-leading position in research and innovation.

Supporting some of the world’s most exciting and challenging research projects, we develop and operate some of the most remarkable scientific facilities in the world. We are pushing the frontiers of human knowledge through fundamental research and delivering benefits for UK society and the economy through world-class research, skills and business-led innovation.

More information can be found at www.ukri.org.

Choosing to come to work at UKRI means that you will have access to a whole host of benefits from a defined benefit pension scheme, excellent holiday entitlement, access to employee shopping/travel discounts and salary sacrifice cycle to work scheme. For more details, visit benefits of working for UKRI [https://www.ukri.org/about-us/work-for-us/working-at-ukri/benefits-of-working-for-ukri/].

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At UKRI, we believe that everyone has a right to be treated with dignity and respect, and to be provided with equal opportunities to thrive and succeed in an environment that enables them to do so. We also value diversity of thought and experience within inclusive groups, organisations and the wider community. For further information, please visit ‘How we support EDI in the workforce’. [https://www.ukri.org/about-us/work-for-us/edi-in-the-workforce/#contents-list]

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