Medical Statistician

University of Oxford; Oxford; On-site; GBP 35,000 - 42,000; Full time

Job summary

A prestigious university in the UK seeks a Medical Statistician to join the OCTRU Statistics Team. The role involves designing and analyzing clinical research projects and providing statistical expertise. Candidates should hold a postgraduate degree in statistics or a closely related field and have proficiency in statistical software such as R or Stata. This is a full-time, fixed-term position based in Oxford, offering a chance to contribute to significant clinical trials and research within a supportive team environment.

Qualifications

• Postgraduate degree in statistics or related subject required.
• Good communication skills needed to explain complex issues.
• Proficient with statistical software (R or Stata).
• Experience with statistical reports and peer-review publications is desirable.

Responsibilities

• Contribute to the design and analysis of clinical research projects.
• Interact with researchers to ensure project quality and deadlines.
• Assist in the design of clinical trials and provide statistical input.
• Prepare statistical analysis plans and monitor study data.

Skills

Statistics

Statistical software (R or Stata)

Verbal and written communication

Project management

Statistical programming

Education

Postgraduate degree in statistics or related field

Job description

Botnar Research Centre, Windmill Road, Oxford, OX3 7LD 184029 OCTRU Medical Statistician

Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS)

Grade 6 : Salary in the range of £35,681-£41,636 per annum. This is a full‑time, fixed‑term position for 2 years. 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;
• interact directly with researchers, helping to ensure the completion and delivery of projects within deadlines and contributing to maintaining the projects’ scientific quality and integrity;
• 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;
• provide advice on data collection, CRF development, data validation and data cleaning and data management;
• prepare statistical analysis plans (SAP) and produce statistical programmes for analysis of study data, including generating, validating and monitoring randomisation schedules and performing interim and final analyses;
• plan and prioritise short and longer‑term goals to ensure that all necessary deadlines are met for around four substantive, and a number of smaller, projects.

Key qualifications:

• 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;
• 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;
• proficient knowledge of statistical software (R or Stata);
• good project management skills, ability to plan and prioritise short and long‑term goals;
• proficiency in statistical programming and experience of producing statistical reports and contributing to peer‑review publications are desirable;
• 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.

New team members undergo a training programme in clinical trial statistics and related processes during their first year.