OCTRU Medical Statistician

Organisation
University of Oxford
Locations

Oxford, UK

Application Deadline

OCTRU Medical Statistician

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

181696 OCTRU Medical Statistician
Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS)
Grade 6: £34,982-£38,674 per annum. This is a full time, fixed term position for 2 years.
 
An exciting opportunity has arisen for a Medical Statistician to join the Oxford Clinical Trials Research Unit (OCTRU) Statistics Team and the Centre for Statistics in Medicine (CSM). The post is based within the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), and located at the Botnar Research Centre, Oxford.
 
You will contribute to the design, conduct, analysis and presentation of results of collaborative clinical research projects, mostly randomised clinical trials as part of the OCTRU statistics team. As a Medical Statistician working in the team, you will assist in the design and set up of clinical research projects within a multidisciplinary team, prepare statistical analysis plans (SAP) and provide written statistical input into protocols and ethics committee submissions. You will attend and occasionally contribute to OCTRU/CSM activities such as seminars, conferences, workshops and other events.  
 
You will have a postgraduate degree in statistics (or closely related subject), a substantial part of which relates to medical statistics, or equivalent experience. You will be fluent with key aspects of study design and analysis and aware of the latest statistical techniques. You will have good project management skills including the ability to manage and prioritise short and long term projects. Proficient knowledge of statistical software (i.e. Stata, SAS or R) as well as good verbal and written communications skills are essential. Proficiency in statistical programming and experience of producing statistical reports and contributing to peer-review publications are desirable.
 
The closing date for applications is 12 noon on Friday 26 September 2025. Applications for this vacancy are to be made online. You will be required to upload a CV and supporting statement as part of your online application. Please quote 181696 in all correspondence.

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