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Research Fellow in Medical Statistics x2

St George's, University of London - Population Health Research Institute

Location: London
Salary: £43,414 to £51,805 plus London Allowance of £3,291
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 22nd September 2022
Closes: 11th October 2022
Job Ref: 441-22-R
 

St George’s, University of London, seeks to appoint NIHR and Wellcome Trust funded Research Fellows in Medical Statistics, who will examine the test performance of commercially available CE certified artificial intelligence (AI) systems designed to detect diabetic eye disease from retinal images for potential use in the English National Diabetic Eye Screening Programme, and perform comparative 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 of national and international importance, and is being led by investigators at St George’s and Moorfields Eye Hospital, 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 post holders 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 Alicja Rudnicka, Professor of Statistics Epidemiology and Professor Christopher Owen, Professor of Epidemiology and Head of Section for Chronic Disease Epidemiology, with regular liaison and input from the wider team of investigators from prestigious institutions both in the UK and USA.


Key attributes of the successful applicant include:
• strong statistical and organizational skills, capable of independent decision-making
• extensive research experience in medical statistics or a closely related discipline
• skilled in the analysis of large datasets using multilevel modelling
• A postgraduate qualification or doctorate in medical statistics or a closely related area are essential.


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, visit http://jobs.sgul.ac.uk.


We welcome and encourage applications from underrepresented groups, especially from people with disabilities and/or people from ethnic minority backgrounds.
Flexible working, including part-time or reduced hours of work, opportunities to work from home for many posts, compressed hours and local flexibility in agreeing start and finish times of work are among the extra benefits offered by St George’s, University of London.


Please quote reference: 441-22-R
Closing date: 11 October 2022
Interview date: TBC

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