Medical Statistician - Population Biobank Studies
University of Oxford - NDPH, Richard Doll Building
|Salary:||£30,738 to £37,768 p.a.|
|Hours:||Full Time, Part Time|
|Contract Type:||Contract / Temporary|
|Placed on:||4th October 2016|
|Closes:||9th November 2016|
Richard Doll Building
Old Road Campus
An exciting opportunity has arisen for a highly-motivated and talented postdoctoral Medical Statistician to join a research group focussing on the aetiology of diseases of old age using population biobank studies. Diseases of old age, such as osteoporosis and dementia, are increasingly major social and health care burdens. The very large-scale data that are emerging provide the opportunity for many exciting and extensive investigations requiring well-structured data manipulation and statistical programming to yield their full potential. We are seeking to recruit a Medical Statistician with a good understanding of a range of statistical techniques and excellent programming skills. The post will involve planning research, implementing statistical analyses and interpreting the implications for population health.
You will have a PhD or MSc plus equivalent research experience in statistics, mathematics, bioinformatics or an equivalent numerate or computational discipline, a demonstrated record in statistical programming and analysis (for example in SAS, R) and be competent to develop your skills further.
The newly established University of Oxford Nuffield Department of Population Health (NDPH) contains world-renowned population health research groups. This post provides an excellent opportunity for training and development of expertise in medical statistics and statistical programming within a leading multi-disciplinary academic unit with an unrivalled reputation for promoting the use of ‘big data’ to reliably identify findings important to population health.
The post is full-time (part-time considered) and is fixed-term for 3 years in the first instance.
The closing date for applications is 12.00 noon on 9 November 2016.
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South East England