Salary: £36,636 to £38,784 with progression to £46,049 per annum
Newcastle University is a great place to work, with excellent benefits. We have a generous holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you.
Closing Date: 26 May 2026
The Role
We are seeking an experienced software developer to transform validated research algorithms into robust, production‑ready clinical software. You’ll build scalable, user‑friendly tools that integrate into clinical workflows, working closely with neurologists, researchers, and NHS epilepsy centres.
The Impact
Join us in delivering AI technology that will enable life‑changing surgery for people with epilepsy.
We are translating 14 years of clinical research into deployment‑ready software that detects brain abnormalities invisible to radiologists in “MRI‑negative” epilepsy. When these abnormalities are properly identified, surgical success rates can improve to 80%. Your work will directly impact patients with drug‑resistant focal epilepsy who need accurate diagnosis to access treatment.
This is funded translational research, with a clear pathway toward medical device approval and clinical deployment across NHS epilepsy centres.
The Environment
You’ll join the Computational Neurology, Neuroscience and Psychiatry (CNNP) Lab (www.cnnp‑lab.com), supported by over £4m in recent funding. The lab has expertise across statistical, machine‑learning, and neuroimaging methods, with access to data from over 500 individuals with epilepsy and established relationships with major UK epilepsy centres.
Based in the School of Computing at Newcastle Helix (www.newcastlehelix.com), you’ll work in state‑of‑the‑art facilities in Newcastle city centre. Extensive mentoring, training and professional development opportunities available, plus collaboration with Research Software Engineering teams and clinical partners around the world.
Key Responsibilities
- Develop and maintain full‑stack web applications for clinical MRI analysis and visualisation
- Contribute to the selection and use of software and data infrastructure, including technologies for version control, continuous integration, deployment and code review
- Build deployment pipelines for cloud‑based medical imaging software
- Design intuitive interfaces for clinical end users (radiologists, neurologists)
- Collaborate with clinical research partners to capture requirements and validate solutions
- Present work and provide updates, including the effective communication of complex or technical information, at project meetings and events
Knowledge, Skills and Experience
- Software development experience in a research or commercial environment
- Understanding of software development tools and methodologies, including programming languages, documentation, testing, version control, issue tracking, and continuous integration
- Track record of developing software that is used by others
- Ability to manage own work, including planning and execution
- The ability to present complex or technical information and the ability to work with others to understand technical and user requirements
- Experience of deployment of software solutions
- Understanding of a range of data manipulation methods and tools
Technical Skills
- Full‑stack web developer (preferably with SvelteKit, Node.js, and Go)
- Version control and CI/CD pipelines, preferably using GitHub and GitHub Actions
- Containerisation using Docker or similar for local development and deployment
- Software deployment using Cloud computing (preferably Azure)
- Familiarity using Linux OS and bash
- Familiarity with requirements capture, translating requirements into tasks, and full software development lifecycle
- Excellent verbal and written communication
Attributes and Behaviour
- Excellent communication and interpersonal skills, with the ability to work effectively in a multidisciplinary team
- Ability to manage multiple tasks in a flexible and dynamic research environment
- Demonstrable ability to work cooperatively as part of a team, including participating in research meetings.
- Ability to work independently on own initiative and to strict deadlines.
- Ability to set research goals, be self‑motivated and proactive.
- Strong interest in interdisciplinary research.
Qualifications
- An MSc in computer science, or equivalent software experience
- Some familiarity with working in a clinical and/or research environment
Equal Opportunity & Diversity
We are a Disability Confident employer and will offer an interview to disabled applicants who meet the essential criteria for the role as part of the offer and interview scheme.
We are committed to being a fully inclusive university which actively recruits, supports and retains colleagues from all sectors of society. We value diversity and celebrate, support and thrive on the contributions of all of our employees and the communities they represent. We are proud to be an equal opportunities employer and encourage applications from individuals who can complement our existing teams, as we believe that success is built on having teams whose backgrounds and experiences reflect the diversity of our university and student population.
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