Research Associate — AI Health Data Science for Diabetes

Location: University of Birmingham, Edgbaston, Birmingham UK

Full time starting salary is normally in the range £33,002 to £35,608 with potential progression once in post to £39,906

Grade: 6

Part Time (0.25 FTE) Fixed Term contract up to March 2027

Closing date: 26th May 2026

Background: This post supports the NIHR BRC‑funded study TRANsCEnD‑CPRD: Validation of a Foundation Model for diabetes and multimorbidity (Diabetes2Vec) using real‑world primary care data, which focuses on the validation and fairness evaluation of a transformer‑based AI model for predicting individual diabetes progression and treatment outcomes in UK primary care populations. The post holder will be based within the Department of Cancer and Genomic Sciences (CGS) and will join the Centre for Health Data Science, working under the supervision of Dr Andreas Karwath and in close collaboration with the co‑investigators, Professor Nicola Adderley (BRC Data Theme Deputy Lead) and Dr Chris Sainsbury, as well as the project collaborator, Dr Feng Dong (University of Strathclyde).

The role will provide technical and analytical support for the adaptation of existing model code to the CPRD environment, the validation of the Diabetes2Vec model on nationally representative primary care data, and the systematic audit of model performance across ethnic minority groups. The post will focus primarily on computational analysis, data transformation, and equity evaluation within a trusted research environment.

Role Summary: The Research Associate role is a fixed‑term post working within the defined NIHR BRC‑funded research project focused on the validation of a transformer‑based foundation model (Diabetes2Vec) for diabetes and multimorbidity using real‑world primary care data from CPRD Aurum, linked to Hospital Episode Statistics Admitted Patient Care (HES APC). You will apply skills in health data science, sequence modelling, and clinical AI evaluation to support data transformation, model validation, and fairness audit activities within a trusted research environment (DEXTER). You will also carry out predefined model performance analyses and equity assessments across defined population subgroups, under the direction of senior researchers.

The Research Associate will be expected to prepare, structure, and quality‑check CPRD primary care data, including the generation of clinical event tokens and cohort definitions aligned with established project protocols and BRC standards. You will also be expected to provide technical and analytical support within a multidisciplinary team to support agreed project objectives, and contribute to the reporting of research outputs, including reports, conference presentations, and publications. As part of the role, you will use and maintain computational pipelines, tokenisation workflows, and version‑controlled codebases to support reproducible analyses, and will contribute to the preparation of preliminary data supporting a subsequent large‑scale NIHR or MRC grant submission.

Main Duties:

• Collect research data; this may be through a variety of research methods, including but not limited to Dexter, CPRD, scientific experimentation, literature reviews, and research interviews
• Analyse research data as directed
• Develop or adapt techniques, models and methods
• Present research outputs, including drafting academic publications or parts thereof, for example at seminars and as posters
• Provide guidance as required to support staff and any students who may be assisting with research
• Deal with problems that may affect the achievement of research objectives and deadlines
• Carry out administrative tasks related directly to the delivery of the research
• Promote equality and values diversity acting as a role model and fostering an inclusive working culture

Person Specification:

• Degree or equivalent in relevant subject area
• Practical experience of applying the relevant skills and techniques
• Ability to analyse information and communicate effectively in written and verbal form within a multi‑disciplinary team
• Ability to access and organise resources successfully, with the ability to plan and prioritise tasks to meet agreed deadlines
• Knowledge of the protected characteristics of the Equality Act 2010, and how to actively ensure in day‑to‑day activity in own area that those with protected characteristics are treated equally and fairly

Informal enquiries to Andreas Karwath, email: a.karwath@bham.ac.uk

Use of AI in applications: We want to understand your genuine interest in the role and for the written elements of your application to accurately reflect your own communication style. Applications that rely too heavily on AI tools can appear generic and lack the detail we need to assess your skills and experience. Such applications will unlikely be progressed to interview.

We believe there is no such thing as a 'typical' member of University of Birmingham staff and that diversity in its many forms is a strength that underpins the exchange of ideas, innovation and debate at the heart of University life. We are committed to proactively addressing the barriers experienced by some groups in our community and are proud to hold Athena SWAN, Race Equality Charter and Disability Confident accreditations. We have an Equality Diversity and Inclusion Centre that focuses on continuously improving the University as a fair and inclusive place to work where everyone has the opportunity to succeed. We are also committed to sustainability, which is a key part of our strategy. You can find out more about our work to create a fairer university for everyone on our website.