The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic.

 

The Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) is part of the Medical Sciences Division and is the largest European academic department in its field, running a globally competitive programme of research and teaching. The Kadoorie Institute of Trauma, Emergency and Critical Care brings together interdisciplinary research across trauma and rehabilitation, emergency care and critical care, with a focus on improving outcomes for patients with life-threatening illness and injury. The Institute integrates expertise across these closely connected specialties within a single research environment. Based at the John Radcliffe Hospital, the centre of urgent and emergency care in Oxford, the Institute supports more than 100 multidisciplinary researchers working across the breadth of trauma, emergency and critical care research. Its research spans the use of routinely collected healthcare data and early- and late-phase clinical trials, enabling discoveries to be translated into improvements in clinical practice and patient care.

 

 

As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including: 

 

•             An excellent contributory pension scheme 

•             38 days annual leave 

•             A comprehensive range of childcare services 

•             Family leave schemes 

•             Cycle loan scheme 

•             Discounted bus travel and Season Ticket travel loans 

•             Membership to a variety of social and sports clubs 

•             This role also offers the opportunity for hybrid working 

 

 

In this role, you will work autonomously as a Trial Manager, taking overall responsibility for the day-to-day management of multi-centre randomised clinical trials. You will assist in finalising the protocol, study materials, training packages for collaborating sites and trial manuals, and prepare trial specific instructions. You will work to design data collection forms and associated documentation as required in collaboration with the trial statistician and Chief Investigator – then work with the trial programmer to assist in the design and testing of the trial database systems for randomisation, data entry, validation and report generation. This post involves obtaining and maintaining overall and site-specific ethical and R&D approvals for all sites and ensure Clinical Trial Agreements are in place before the research commences as well as providing line management and training for administrative trial staff (e.g. trial administrators, data entry clerks).

 

 

You must hold a degree in a biomedical or associated subject, or other relevant qualification, or proven experience in clinical research. You will have experience of overseeing the conduct of multi-centre clinical trials and working to a high standard of Good Clinical Practice and according to the research governance framework. Experience and understanding of techniques for the management of medical research data are essential. Previous involvement in development of clinical reporting forms, as well as experience working with REDCap, is desirable.

 

 

The University of Oxford is committed to equality and valuing diversity. All applicants will be judged on merit, according to the selection criteria.
 

Applications for this vacancy should be made online and must include a CV and a supporting statement explaining how you meet the selection criteria, using examples of your skills and experience.
 

Interviews will take place during the week commencing 16 November and will be face to face/online.

 

Please quote reference 189339 in all correspondence.

 
 

We have an exciting opportunity for a Medical Statistician (Grade 6) to join the Oxford Clinical Trials Research Unit (OCTRU) Statistics Team. OCTRU is one of the largest academic clinical trials units in the UK. (www.octru.ox.ac.uk). It undertakes trials of all phases across oncology, surgery, experimental medicine, orthopaedics and rheumatology.  The Statistics Team led by Professor Jonathan Cook is looking for a recent post-graduate statistician to join an expanding statistical team. New team members will undergo a training programme in clinical trial statistics and related processes during their first year.      

 

The post is based within the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford. The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) is part of the Medical Sciences Division and is the largest European academic department in its field, running a globally competitive programme of research and teaching.          

 

 

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. The post is located at the Botnar Institute for Musculoskeletal Sciences, Oxford.

 

This position is available now but would be suitable for a current MSc Student in Medical Statistics with a view to starting in the summer or autumn of 2027. In the latter instance there may be an opportunity to undertake a summer project with the team.

 

 

As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including: 

 

•             An excellent contributory pension scheme 

•             38 days annual leave 

•             A comprehensive range of childcare services 

•             Family leave schemes 

•             Cycle loan scheme 

•             Discounted bus travel and Season Ticket travel loans 

•             Membership to a variety of social and sports clubs 

•             This role also offers the opportunity for hybrid working after an initial full time office based period 

 
 

 

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.

 

 

The University of Oxford is committed to equality and valuing diversity. All applicants will be judged on merit, according to the selection criteria.  

Applications for this vacancy should be made online and must include a CV and a supporting statement explaining how you meet the selection criteria, using examples of your skills and experience.  If you have any queries regarding the role, please email jonathan.cook@ndorms.ox.ac.uk

 

Interviews will take place during the week commencing 9 November 2026 and will be face to face.

 

Please quote reference 188890 in all correspondence.