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

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

Location: London
Salary: £42,632 to £49,250 per annum, Grade: CSG 6
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 12th December 2024
Closes: 31st December 2024
Job Ref: 440-24-R
 

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

The newly created pan-London data resource from the OneLondon initiative (https://www.onelondon.online/), with 600,000 people living with diabetes, includes primary and secondary health data with diabetes complications and cause of death.

The postholder will use linked health record data to predict complications of diabetes to identify early warning systems for intervention, comparing the performance of statistical prognostic models with AI based approaches.   

The work is funded by the NHS England London Health Data Strategy Programme and is of national and international importance.  The work is being co-led by investigators at St George’s University Hospitals NHS Foundation Trust (SGUHFT) and City St George's, University of London, with additional collaborators from UCL and Moorfields Eye Hospital NHS Foundation Trust.

The postholder will be based at the Population Health Research Institute (PHRI) at City 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 and Mr Iain Roy (Consultant Vascular Surgeon and Senior Lecturer in Vascular Surgery), with regular oversight and input from the wider team of investigators.

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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