Are you interested in accelerating the fight against dementia? Join our team at Prodromic to
translate AI-powered solutions for early dementia prediction to healthcare
About us
Prodromic is a Cambridge-based AI health technology spin-out dedicated to transforming brain
health through responsible multimodal AI. Our platform, Sia, provides early personalised
predictions of dementia progression and helps stratify patients using cognitive assessments,
imaging, blood-based biomarkers, genetics, proteomics, and health records. Drawing on over a
decade of groundbreaking research, we convert complex biological data into clear, clinically
useful insights. These insights help accelerate clinical trials, reduce costs, and deliver better
outcomes for patients in everyday care.
We are currently advancing Sia from a well-validated research prototype to a fully regulated
medical software device. This is a great opportunity to join our dynamic, growing, and highly
driven team and contribute directly to the fight against dementia by accelerating the development
of our AI powered-solution for NHS adoption and wider deployment
About the role
As Software Engineer you will take a central, practical role in turning the existing Sia research prototype into a secure, production-ready medical software platform that meets IEC 62304 and related regulatory requirements. You will work closely with our AI scientist, engineer, platform integration specialist, clinicians, and regulatory experts to design robust architecture, set up reliable development processes, integrate advanced AI models, and support all necessary testing and documentation activities.
This position suits an engineer who thrives on hands-on problem solving and enjoys bridging innovative research with real-world clinical applications.
What you will do
- Convert research-level code and prototype elements into well-structured, production-grade software architecture that satisfies IEC 62304 medical software lifecycle standards.
- Build and maintain version-controlled development pipelines, CI/CD workflows, and secure deployment setups tailored for sensitive healthcare data.
- Integrate refined machine learning models into the complete Sia platform.
- Carry out systematic testing, verification, validation, and issue resolution across the various work packages.
- Help create and maintain the technical documentation, risk management records, and technical file needed for regulatory submissions and DTAC readiness.
- Work collaboratively with AI, clinical, and regulatory team members to keep development activities on track.
- Contribute to plans for EHR interoperability, secure data connections, cybersecurity measures, and information governance.
- Engage with external partners and suppliers on tasks, early testing, and constructive feedback.
- Support the preparation and updating of test protocols, methods, and reports in readiness for formal verification and validation.
Essential requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Biomedical Engineering, or a closely related field.
- 2–4 years of practical experience in software development, with clear involvement in coding, system integration, and moving solutions into production.
- Solid command of Python together with strong working knowledge of modern development practices such as version control, CI/CD, and containerisation.
- Direct experience integrating machine learning models into live applications.
- Ability to collaborate effectively in a team setting and communicate comfortably with external consultants and clinical partners.
- Capability to handle several tasks at once and deliver against deadlines in a dynamic start-up environment.
- Strong written and spoken communication skills.
Desirable requirements
- Prior exposure to regulated environments such as medical devices or health technology, ideally with some familiarity with IEC 62304 or ISO 13485.
- Experience working with cloud platforms (AWS, GCP or Azure) in healthcare or similarly regulated settings.
- Understanding of cybersecurity standards, DTAC, DCB0129, or secure data handling in clinical contexts.
- Ability to take ownership of smaller, clearly scoped work packages with minimal supervision.
How to Apply
We are looking for someone to join the team as soon as possible and will be reviewing applications on a rolling basis. If this sounds like you;
Send your CV and cover letter to [email protected] referencing job reference PR062601 or reach out for a confidential conversation at [email protected]. Applicants must have the right to work in the UK.