Healthcare Data Analyst in Hepatitis B and Liver disease

 

We are seeking an enthusiastic, motivated data analyst to handle real world clinical data in the field of viral hepatitis and liver disease. The postholder will work in a dynamic, multi-disciplinary team based at the Old Road Campus, University of Oxford. The post is funded by the National Institute for Health and Care Research (NIHR) for supporting research project on large-scale longitudinal electronic health records (EHRs) from multiple hospital centres in the UK. The project aim is to advance hepatitis B and liver-related research and contribute to novel analytic frameworks for NHS routine data. You will support research on the established extensive data resources for the project aim.

 

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 degree in a computing or scientific subject and experience in data management and analysis of EHRs, a background in data science and machine/deep learning, and solid programming skills in Python and/or R. The program has already collected large clinical data sets-we are now looking to analyse these, and to develop the data sets with the addition of new partners.

 

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 Friday 11/07/2025 will be considered. 

 

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