Summary
✨ AI‑Generated
A research-focused environment is seeking a technically skilled analyst to develop, integrate, and support applications used for complex scientific workloads across Linux-based systems.
Highlights
Role combining software engineering and scientific computing with direct collaboration with researchers and technical teams.
Description
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 applicationsWorking directly with scientists and research teams to understand technical requirementsBuilding and supporting application integrations and middlewareSupporting applications running across Linux and research-computing environmentsTesting, troubleshooting and deploying scientific softwareWorking with containerised applications and modern infrastructureParticipating within Agile/Scrum engineering teamsProducing clear technical documentationHelping 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.
