Scientific Computing & Research Infrastructure Engineer

We’re looking for a Scientific Computing & Research Infrastructure Engineer to join an exciting project supporting a leading biology research team., * Build and maintain the scientific computing stack and biology research pipelines.

• Administer Linux-based GPU compute infrastructure, including CUDA optimization, containerized environments, and HPC systems.
• Manage large-scale NAS/SAN storage and ensure seamless data flow from scientific instruments to research servers.
• Partner directly with scientists as the dedicated technology expert, delivering hands-on infrastructure and research computing support.

Are you passionate about building high-performance research infrastructure and enabling cutting-edge scientific discoveries?, * Strong Linux systems engineering expertise.

• Proficiency in Python and Bash scripting.
• Experience supporting structural biology or life sciences research computing environments.
• Hands-on experience with GPU infrastructure, CUDA, HPC, and scientific data management.
• Ability to work independently while collaborating closely with research teams., * inux systems engineering: 5 years (Required)
• Python: 5 years (Required)
• Bash: 5 years (Required)
• GPU architecture: 5 years (Required)
• CUDA: 5 years (Required)
• HPC systems: 5 years (Required)
• Embedded: 5 years (Required)
• Scientific Computing: 5 years (Required)

$60 - $75 an hour - Contract