We are seeking to recruit a Medical Statistician to join the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), based at the Botnar Research Centre, Oxford.
This exciting opportunity involves developing statistical methods for novel trial designs in Musculoskeletal Sciences (especially rheumatology and experimental medicines) with funding for a fully funded DPhil.
As a Medical Statistician, you will work independently, with guidance from the supervision team as needed, to design and conduct collaborative methodological research projects with an applied statistical focus.
You will also contribute to the design, conduct, analysis and presentation of results of clinical research projects, across the different units within the Centre for Statistics in Medicine (CSM)/ Oxford Clinical Trials Research Unit (OCTRU), as appropriate.
Additionally, you will provide expert input on the statistical aspects of the design and set-up of the MONITOR2 study and other relevant studies, working within a multidisciplinary team.
As part of your role, you will prepare statistical analysis plans (SAP) for analyses to be conducted which may also require leading on drafting the related publication.
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.
You will have experience of working as a statistician conducing statistical analyses contributing to research outputs.
Additionally, you should be fluent in key aspects of study design and analysis, and aware of the latest statistical techniques.
Proficiency in using statistical software, including at least one of Stata or R for complex analyses requiring statistical programming is essential.
Experience contributing to peer-review publications, particularly quantitative methodological projects, is desirable.
This is a full-time, fixed-term position for 3 years.
A lower grade offer may be considered (Grade 6: £34,982 - £40,855 per annum) depending on experience, with commensurate reduction in responsibilities if a suitable candidate cannot be found to fill the Grade 7 position.