Research Fellow / Senior Research Fellow in Medical Statistics or Data Analytics

We are seeking an ambitious researcher with strong statistical and data analytic skills with experience of using big data.

The newly created data are from one of the largest, most ethnically diverse English Diabetic Eye Screening Programmes in North East London, with over 200,000 people living with diabetes with up to 10 years of follow-up.  The data-set includes diabetic eye screening data linked to primary and secondary health data, with cause of death.

The postholder will compare analyses of statistical prognostic approaches with AI based retinal image analysis, genotyping and linked health record data to predict diabetes complications, in order to identify early warning systems for intervention.  

The work is funded by the Wellcome Trust is of national and international importance and is being led by investigators at St George’s and Moorfields Eye Hospital NHS Foundation Trust, with a team of investigators from UCL, Homerton Healthcare NHS Foundation Trust, Kingston University, UK; University of Washington and the National Eye Institute National Institutes of Health (NEI NIH), USA.  

The postholder will be based at the Population Health Research Institute (PHRI) at St George’s, University of London, and will work under the direction of Professor Christopher Owen, Professor of Epidemiology and Head of Section for Chronic Disease Epidemiology, and Professor Alicja Rudnicka, Professor of Statistics Epidemiology, with regular oversight and input from the wider team of investigators from prestigious institutions both in the UK and USA.

Key attributes of the successful applicant include:

• A postgraduate qualification or doctorate in medical statistics / data analytics or a closely related area.  Those without a postgraduate qualification or doctorate are eligible to apply.
• Proficient in statistical software packages (e.g., STATA, Python, R) for analysing large longitudinal data-sets.
• Experience of data linkage and associated methodologies.
• Excellent writing and presenting skills, able to explain technical findings to both a scientific and lay audience.

Funding is available for full-time equivalent posts, but this may be configured as a combination of part-time appointments.

For further information about this position and to apply, click the 'Apply' button above. 

St George’s School of Health and Medical Sciences is committed to promoting equality, diversity and inclusion in all its activities, processes, and culture for our whole community, including staff, students and visitors. 

We welcome applications regardless of age, caring responsibilities, disability, gender identity, gender reassignment, marital status, nationality, pregnancy, race and ethnic origin, religion and belief, sex, sexual orientation and socio-economic background.

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