Job Description

About the Role

We are seeking an enthusiastic and motivated postdoctoral researcher to apply advanced data analytics and machine learning techniques to real-world clinical data in the field of viral hepatitis and liver disease. This post is funded by the National Institute for Health and Care Research (NIHR) as part of a significant research programme that leverages large-scale healthcare datasets to advance hepatitis B and liver disease research and to develop novel analytic approaches for NHS routine data.

You will be based at the University of Oxford, joining a collaborative, interdisciplinary research environment supported by a team with broad expertise in data science, infectious diseases, hepatology, and clinical informatics. You will take a leading role in analysing large-scale, longitudinal electronic health records (EHRs) from multiple UK hospital centres using advanced data analytics including machine learning, deep learning, and statistical techniques--with a particular emphasis on deep learning approaches. You will develop novel, reproducible methods for analysing both structured and unstructured clinical data, generating insights into disease trajectories, predicting clinical outcomes, and enabling data-driven improvements in patient care. You will have opportunities to apply foundation models--including large language models (LLMs) to real-world clinical data. You will work with well-established data resources accessed within a secure Trusted Research Environment for large-scale analysis. This role offers excellent opportunities to engage with a broad network of collaborators including scientists, clinicians, and informaticians across NIHR HIC and NHS TVS SDE sites, academic institutions, and industry partners.

This post is fixed term for 18 months but may be extended.

This post is full time but part time working would be considered (minimum of 4 days, 30 hours per week, 0.8 FTE

About You

To be considered for this position you should have a PhD degree (or be near completion) in a relevant scientific discipline--particularly in healthcare data science, medical informatics, or clinical machine learning--as well as demonstrated expertise in healthcare data analysis, machine and deep learning, and strong programming skills, particularly in Python.

Good interpersonal skills and the ability to work as part of a team are essential in order to make a strong contribution to the project.

Benefits of working

University employees enjoy 38 days' paid holiday, generous pension schemes, travel discounts, and a variety of professional development opportunities. Our range of other employee benefits and discounts also includes free entry to the Botanic Gardens and University colleges, and discounts at University museums. See https://hr.admin.ox.ac.uk/staff-benefits

Application Process

Applications for this vacancy are to be made online. You will be required to upload a supporting statement and CV as part of your online application.

Only applications received before 12:00 midday on

18th August 2025

will be considered.