Medical Statistician

University of Oxford

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Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, Windmill Road, Oxford, OX3 7LD

An exciting opportunity has arisen for a Medical Statistician to join the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) based at the Botnar Research Centre, Oxford, and the Critical Care Research Group (Kadoorie Centre) to allow close collaboration with clinical colleagues. 

The role will be interesting and varied, including: the development and validation of prediction models, carrying out systematic reviews, cleaning/linking large data sets, and clinical trial development. There is scope for a statistician to specialise within these tasks.  

As a Medical Statistician you will contribute to a wide range of tasks across the project, from designing and developing research protocols, coding simulations, cleaning large and routinely collected data, writing statistical analysis plans, conducting statistical analyses, and writing scientific publications. You will provide statistical advice to staff working in relevant projects, and to assist others in their work where appropriate, as well as regularly contribute to scientific research articles at an international level for peer reviewed journals.

You must have a Master’s degree in medical statistics or a closely related field involving substantial training in statistics, or a good first degree with a substantial statistics component. You will have proven experience, ability, and practical success in statistics, as well as proficiency in the use of statistical programming languages. The ability to draft sections of manuscripts for publication and present statistical results at conferences is essential. A PhD (or equivalent) in a relevant scientific subject (or near completion) is desirable. 

This is a full-time fixed term appointment for 3 years. A lower grade offer may be made (Grade 6: £32,332- £38,205 p.a.) with commensurate reduction in responsibilities if a suitable candidate cannot be found to fill the Grade 7 position.

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