Location: Cambridge, Cambridgeshire, United Kingdom
Salary: £53,755 – £60,504 per year
Contract Type: Full Time
Closing Date: 19 June 2025
About the Role
Cambridge University Hospitals NHS Foundation Trust is building something new. A Clinical Data Science and Engineering Unit designed to turn high-volume data into real-world impact. This is more than operations – it’s a collaborative hub working across digital teams, clinicians, academics and industry partners to build solutions that transform healthcare delivery and research.
This new team will drive cutting-edge data projects, from predictive analytics to medical device-grade tools. As a Research Software Engineer, you’ll play a central role in shaping and delivering the data systems that power this vision – starting with large-scale oncology datasets and expanding across the Trust.
Key Responsibilities
- Develop scalable, secure, and efficient data engineering pipelines for clinical and research use
- Support technical delivery of commercial partnerships and research collaborations
- Curate and manage deep, longitudinal, anonymised research datasets
- Implement cloud-based data architectures using tools like Azure, AWS, MS Fabric
- Enable the deployment of advanced analytics tools in line with clinical governance standards
- Collaborate across teams to influence data strategy and ensure clinical relevance
What You’ll Bring
Essential Skills and Experience
- Master’s degree in Computer Science, Information Systems or a related field
- Strong background in data engineering and enterprise data architecture
- Proficiency in Python, SQL, Java and cloud environments (e.g. Azure, AWS)
- Experience working with large-scale clinical or health data
- Understanding of GDPR, cybersecurity, and data governance in healthcare
- Ability to communicate technical ideas clearly to both technical and non-technical stakeholders
- Experience presenting complex concepts to senior decision-makers
Desirable Skills
- Experience in NHS or public sector data systems
- Knowledge of OMOP, SNOMED CT, ICD-10, and other healthcare ontologies
- Familiarity with machine learning, NLP, or network analysis in clinical environments
- Experience with generative AI-supported development workflows
- Research grant writing or co-investigator experience
Working at Cambridge University Hospitals
Located on the Cambridge Biomedical Campus – Europe’s largest life sciences cluster – you’ll work alongside global leaders including AstraZeneca, the Royal Papworth, and Cambridge University. The environment supports bold thinking, close collaboration, and genuine innovation that feeds directly into improving lives.
You’ll be joining a Trust committed to digital transformation, already running one of the UK’s most advanced Epic EHR systems and planning major expansion with new children’s, cancer and acute hospitals.
Visa Sponsorship
This role is eligible for Skilled Worker visa sponsorship. We welcome applications from international candidates and will support you through the immigration process.
Additional Information
- Subject to Disclosure and Barring Service (DBS) check
- Commitment to continuous improvement and professional development
- Strong emphasis on patient confidentiality and ethical data practices
Apply Now
If you’re ready to build data systems that reshape care, research and outcomes – and want to do it in one of the world’s top biomedical hubs – we want to hear from you.
Closing Date: 19 June 2025
Location: Cambridge, Cambridgeshire, United Kingdom
Salary: £53,755 – £60,504 per year
This job post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and may require a criminal record check.
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