Senior HPC Engineer for Biomedical Computation

MRC Laboratory of Medical Sciences

City Of London

On-site

GBP 58,000 - 68,000

Full time

10 days ago
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Benefits offered by this job

Pension scheme
Holiday entitlement
Family leave
Discounts
Employee assistance
Health and wellbeing
Cycle to work

Job summary

The MRC Laboratory of Medical Sciences in London invites applications for a Senior Research HPC Engineer to design, manage, and develop LMS's next‑generation HPC infrastructure. You will work across Linux, SLURM, and cluster automation to improve performance, reliability, and accessibility for biomedical researchers.

The role combines hands‑on systems engineering with collaboration with scientists and other engineers to translate research needs into robust, scalable computational solutions

Qualifications

  • Extensive experience across HPC and systems technologies including Linux system administration, software installation and lifecycle management, job scheduling and configuration management.
  • Experience with cluster automation and performance monitoring and optimisation.
  • Ability to translate research needs into robust, practical, sustainable technological solutions.

Responsibilities

  • Design, manage and develop the next generation of LMS HPC infrastructure.
  • Identify opportunities to improve performance, reliability, scalability and accessibility.
  • Collaborate with LMS IT colleagues, scientists, researchers and other engineers to deliver robust solutions.

Skills

Linux system administration
Job scheduling
Cluster automation
Performance monitoring
Software installation
Lifecycle management
Hardware maintenance

Tools

SLURM scheduler
Bash scripting

Job description

The MRC Laboratory of Medical Sciences in London invites applications for a Senior Research HPC Engineer to design, manage, and develop LMS's next‑generation HPC infrastructure. You will work across Linux, SLURM, and cluster automation to improve performance, reliability, and accessibility for biomedical researchers.

The role combines hands‑on systems engineering with collaboration with scientists and other engineers to translate research needs into robust, scalable computational solutions

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