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About the role

We are looking to recruit a Medical Statistician/Epidemiologist with postgraduate qualifications to work within a collaboration formed between the University of Leicester and Nuffield Health. You will work to collate and analyse real world data collected across a range of clinical and lifestyle services by Nuffield Health. You will also receive supervision and guidance from senior statisticians.

You will be joining the Diabetes Research Centre, which is internationally recognised for its research in diabetes and cardiovascular disease, and also hosts NIHR Biomedical Research Centre and CLAHRC EM. This post provides an excellent opportunity for an ambitious statistician/epidemiologist to develop a career with real world data whilst working across both academia and industry.

About you
You will have experience in working with large data sets, outstanding communication and analytical skills and a proven track record of research productivity. A good knowledge of statistical programming and data management is essential, preferably with knowledge and experience of contemporary research methods for real world evidence. You will have excellent interpersonal skills, to engage with other members of the department for critical discussion of research and exchange of new ideas and approaches that might benefit the research.
Additional information

Leicester is a leading University committed to international excellence, world-changing research and high quality, inspirational teaching. You will develop your career in a supportive and collaborative academic environment in one of the world’s leading research-intensive universities; elite in the excellence of our research, yet distinctive for the genuine synergy between our research and teaching.

In return for your hard work, we offer a working environment that is committed to inclusivity, through promoting equality and valuing diversity. Further information regarding our extensive range of staff benefits is available here. 

Informal enquiries are welcome and should be made to Professor Thomas Yates on ty20@leicester.ac.uk.