Statistician

at  University of Oxford

The Nuffield Department of Population Health undertakes world-leading research into long term, chronic health conditions, operating large-scale long-term studies and projects to identify the causes, prevention and treatment of diseases that result in avoidable suffering for millions of people around the world.
We are seeking a skilled and experienced statistician to join the Health Economics Research Centre (HERC) as part of a multidisciplinary team focused on analyzing clinical and health economic data from long-term trials, primarily related to diabetes and its complications. This is an exciting opportunity to contribute to the analysis of large-scale global diabetes outcome trials and help develop a comprehensive archive of clinical trial datasets to support future clinical and health economic research.
Key duties will include: undertaking trial-based analyses; developing and validating mathematical models to predict future risks of complications for individuals with diabetes; and building and curating a data archive of diabetes clinical trials, including obtaining necessary permissions for data access, linking clinical and administrative data, and ensuring robust data governance.
The ideal candidate will have an MSc and/or PhD in Statistics or a related field, with expertise in biostatistics, particularly in clinical outcome and translational trials for chronic diseases like diabetes. Proficiency in statistical programming languages (SAS, STATA, R) and experience in clinical trial data analysis is essential.
In addition, you should possess strong skills in managing conflicting priorities and meeting tight deadlines without compromising accuracy. Effective oral and written communication skills are critical, as is a proactive approach to managing workloads and working collaboratively as part of a team. You must also have the ability to maintain confidentiality.
This is a full time (part-time considered), fixed term post for 12 months in the first instance.
The closing date for applications is noon on 31 January 2025
You will be required to upload a CV and Supporting Statement as part of your online application. The Supporting Statement should include a cover letter and should also clearly describe how you meet each of the selection criteria listed in the job description

Please refer the Job description for details