OCTRU Medical Statistician

We have an exciting opportunity that has arisen for a Medical Statistician (Grade
6) 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), University of Oxford, and is located at the Botnar Research Centre, Oxford. As a member of the OCTRU Statistics Team you will contribute to the design, conduct, analysis and presentation of results of collaborative clinical research projects, mostly randomised clinical trials, across the different units within OCTRU and the Centre for Statistics in Medicine.

This will involve interacting directly with researchers, helping to ensure the completion and delivery of projects within deadlines and contributing to maintaining the projects’ scientific quality and integrity. New team members undergo a training programme in clinical trial statistics and related processes during their first year.

In this role, you will assist in the design and set‑up of clinical trials within a multidisciplinary team including (but not limited to) the Chief Investigator and Trial Manager as well as provide written statistical input into protocols and ethics committee submissions. You will also provide advice on data collection, CRF development, data validation and data cleaning and data management. You will prepare statistical analysis plans (SAP) and produce statistical programs for analysis of study data, including generating, validating and monitoring randomisation schedules and performing interim and final analyses.

You must hold a postgraduate degree in statistics (or a closely related subject), a substantial part of which relates to medical statistics, or equivalent experience and be fluent in key aspects of study design and analysis, and aware of the latest statistical techniques. You must have good verbal and written communication skills including the ability to explain complex statistical issues to non‑statisticians together with the ability to analyse problems, develop and test solutions, and make judgements.

Additionally you will have a proficient knowledge of statistical software (i.e., R or Stata). You will have good project management skills including the ability to plan and prioritise short and longer‑term goals to ensure that all necessary deadlines are met simultaneously for around 4 substantive, and a number of smaller, projects. Proficiency in statistical programming and experience of producing statistical reports and contributing to peer‑review publications are desirable.

This position is available now but would be suitable for a current MSc Student in Medical Statistics with a view to starting in September/October 2026. In the latter instance there may be the opportunity to undertake a summer project with the team.

The closing date for applications is 12 noon on Monday 2nd February 2026. 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 184029 in all correspondence.