Scientific Applications Analyst - Research Computing

We're looking for a technically strong Scientific Applications Analyst to help develop, integrate and support applications used within a leading scientific research environment. Sitting at the intersection of software engineering, scientific computing and research, you'll work directly with scientists, architects and engineering teams to deliver technology that supports complex scientific workloads. The position would suit someone who enjoys understanding how researchers actually use technology rather than simply developing applications in isolation. What you'll be doing

• Developing, enhancing and supporting scientific applications
• Working directly with scientists and research teams to understand technical requirements
• Building and supporting application integrations and middleware
• Supporting applications running across Linux and research-computing environments
• Testing, troubleshooting and deploying scientific software
• Working with containerised applications and modern infrastructure
• Participating within Agile/Scrum engineering teams
• Producing clear technical documentation
• Helping improve the reliability and usability of applications used by researchers What we're looking for You'll ideally combine software/application experience with exposure to scientific or research environments. Relevant technologies could include: Python, R, C#, Angular, Linux, Docker, Kubernetes, HPC, Research Computing, Scientific Computing, OMERO, scientific imaging, bioimaging, cryo-EM, bioinformatics or genomics. You don't need experience with every technology listed. We're particularly interested in people who understand how software, infrastructure and scientific workflows come together. Experience within life sciences, pharmaceutical R&D, universities, research institutes, genomics, structural biology or scientific imaging would be highly relevant.