Medical Statistician

The Centre for Population Health Sciences at the Usher Institute within The University of Edinburgh is looking for a flexible, enthusiastic and confident medical statistician to conduct data analysis of large, longitudinal, complex routine datasets (both research cohorts and routine data) working as part of a large team across several institutions.  

The Opportunity:
The opportunity includes working with experts at the Advanced Care Research Centre (ACRC) on trajectories of health and care in later life, as well as a Health Data Research UK (HDR UK) funded project to develop a new international reference catalogue of human diseases and treatable traits.

The role will involve analysing linked large routine healthcare datasets to examine the epidemiology of individual conditions and multimorbidity, and to explore the applicability to the actual population treated of research trial-derived evidence.  Working with the wider HDR UK team, it will involve supporting the creation of data analysis tools for multiple users and supporting the development of individual condition phenotypes.

Informal enquiries may be directed to Prof Bruce Guthrie, Professor of General Practice (bruce.guthrie@ed.ac.uk)

Your skills and attributes for success: 

• A PhD (or near completion) in medical statistics, epidemiology, informatics or another relevant quantitative discipline closely related discipline (or relevant quantitative methods focused MSc with considerable experience of relevant data management and analysis) (Desirable).
• Knowledge and experience of statistics in an epidemiological framework, including an understanding of prospective studies and linked healthcare data, including statistical modelling.
• Experience of complex and reproducible data management of linked routine healthcare datasets including data from general practice electronic health records and hospital discharge data (Desirable).
• Experience of using programmatic statistical packages e.g. R or Stata (Desirable).

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