Postdoctoral Research Assistant in Health Data Sciences (184138)

In this role, you will develop analysis plans, ethical protocols, standard operating procedures and similar as required for ongoing and future studies as well as undertake related literature reviews. You will curate and analyse real world health data assets, including data on wider determinants of health e.g. climate. As well as analyse data following pre-specified analysis plan/s and/or approved protocols. In this position you will lead the programming of R/Python packages for the analysis as well as adapt existing and develop new research methodologies and training materials. You will report research findings in the form of conference abstracts at national and international conferences and collaborate in the preparation of research publications, and book chapters. Additionally, you will lead and/or support the drafting of scientific manuscripts, reports to funders and other materials for other audiences based on the results from research studies.

 

You must hold a PhD/DPhil (or be near completion) in epidemiology, public health, applied/medical statistics, bio/medical engineering, health data sciences, health informatics, computer science, clinical artificial intelligence, environmental epidemiology, climate data sciences, remote sensing, earth observation, public health geography, or a similar field. You will have demonstrable advanced skills in programming in R, Python, SQL, and/or similar languages, together with experience in version control e.g., Git. You will be able to demonstrate experience in data visualization and creating digital tools and dashboard using e.g. R Shiny, Power BI, Tableau and/or similar. You must have taught or demonstrated skills in epidemiology study design, analysis, and interpretation and must demonstrate the flexibility to learn new skills and programming languages easily.

Experience in cleaning and analysing health data e.g., electronic health records, and/or satellite-derived data analysis products and GIS data as well as experience in medical large language models and foundation models e.g., through HuggingFace are desirable.

 

The closing date for applications is 12 noon on Monday 16th February 2026. Applications for this vacancy are to be made online. You will be required to upload a CV and supporting statement as part of your online application. Please quote 184138 in all correspondence.

 

Interviews will be held the week commencing 23rd February 2026.