Medical Statistician – Vascular Disease Mega-trials and Genetic Epidemiology

University of Oxford - NDPH

Old Road Campus
Headington

Grade 7: £31,076 – £38,183 p.a. (pro rata for part-time)

An exciting opportunity has arisen for a highly-motivated and talented Medical Statistician to join a research group based in the new Big Data Institute, focussing on the use of population biobanks and mega-trials to undertake epidemiological and genomic studies of cardiovascular disease and arrhythmias. The aim of the research programme is to investigate the determinants and causal relevance of risk factors for vascular disease, and potential therapies, using ‘Big Data’ resources and techniques such as Mendelian randomisation. 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 excellent programming skills and a good understanding of a range of statistical techniques. The post will involve planning data synthesis, implementing statistical analyses and int  erpreting the implications for population health.

You will have a PhD (or MSc plus subsequent relevant experience) in a numerate (e.g. statistics, mathematics, epidemiology) or computational (e.g. bioinformatics) discipline, a demonstrated record in statistical programming and analysis (e.g. in SAS, R) and excellent organisational and communication skills.

The 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 28 September 2017.

www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=130212

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South East England