Research Fellow in Data Analytics and Health

University of Leeds - School of Computing

Contract Type: Fixed Term (Up to 12 months, to end by 31 December 2018 (grant funding))

Are you an ambitious researcher looking for your next challenge? Do you have a background in data analytics or electronic health records? Do you want to further your career in one of the UK’s leading research intensive universities?

We are seeking a computer scientist who can support a range of exciting research projects in the UK NHS and internationally which will help improve the care pathways of patients with a range of complex conditions. The role will combine data analytics and data management skills with emerging process mining tools and practical work with large scale, complex electronic health records datasets. You will join a growing team of researchers working with state of the art facilities at one of the largest centres for health analytics in the UK. Our team work very closely with clinicians, managers and researchers in the local NHS and your drive and enthusiasm will make an important contribution to better healthcare, in our region and nationally. You will provide technical data management and analytical support to help our e-health records research group deliver high impact international research outputs. We are looking for candidates with good academic writing skills, technical competence in data analytics and a passion to work in healthcare.

The work will involve creating and working with databases and files of health care records with complex data structures, code ontologies and of variable data quality. You will write software code to extract, transform and load data in a range of statistical and machine learning software tools and be expected to understand and potentially improve on those tools. You will have good interpersonal skills to work as part of a team with medics, epidemiologists, statisticians and other data scientists and this may include fieldwork in hospitals and health care settings investigating real-life care pathways. A key role will be to provide technical support to other members of the team and assist in the preparation and publication of conference and journal papers.    

To explore the post further or for any queries you may have, please contact: Owen Johnson, Senior Teaching Fellow, School of Computing, Tel: +44 (0)113 343 5474 or email:

Further information

The Faculty of Engineering is proud to have been awarded the Athena Swan Silver Award from the Equality Challenge Unit, the national body that promotes equality in the higher education sector. Our equality and inclusion webpage provides more information.

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Northern England