Research Fellow - #1723482

THIS ROLE IS OPEN TO INTERNAL APPLICANTS WHO ARE CURRENTLY EMPLOYED BY LICTR ONLY

You will work on the National Institute for Health and Care Research (NIHR) Research Professorship SIGMA-S project: Statistical Innovation and Guidance on Methods and Analysis in Surgery, to improve the evidence pathway of surgical innovation. 

You will be based in the Surgical Interventions, Diagnostics and Devices (SIDD) Division at the Clinical Trials Research Unit within Leeds Institute of Clinical Trials Research (LICTR). The Unit is one of the largest in the UK and conducts national and international randomised and early phase clinical trials in a variety of clinical fields. Our main aim is to develop and support novel and efficient trials to change clinical practice for the better. Our past results and current research have already helped to do this. Our results inform the academic development of this specialised field of clinical research on a national and international level. Particularly, we specialise in the development, optimisation and evaluation of complex interventions, complex phase III trials and efficient phase I/II trials, as well as adaptive designs, seamless phase II/III designs and biomarker driven designs. 

LICTR hosts a dedicated, cross-cutting Methodological Research, Education and Innovation (M-REI) Division, conducting statistical, trial conduct and mixed methods research inspired by real problems encountered in complex trials. 

This is a unique opportunity to join a strategically important research group. You will be a highly talented, inquisitive and enthusiastic individual with a good understanding of statistical methodology relevant to clinical trials. 

You will be interested pursuing a career in medical statistics and will work on the NIHR Research Professorship SIGMA-S project: Statistical Innovation and Guidance on Methods and Analysis in Surgery, adapting and evaluating early phase statistical methods and/ or novel multi-phase optimisation methods to the surgical environment. 

You will be responsible for reviewing literature, proposing statistical designs and their associated analyses, investigating properties of methods through simulation and developing the position for in-silico clinical trials. You will draw on motivating examples using real datasets from the Royal College of Surgeons of England Surgical Trials Centres and develop initiatives to promote more efficient trial designs to change clinical practice for the better, as well as leading publications. You will have the opportunity to contribute to teaching and supervise MSc and/ or PhD students. 

You will join a large, well-established group of statisticians working with other quantitative and qualitative researchers in one of the largest academic clinical trials units in the UK. Working with the NIHR MedTech Cooperative, Leeds NIHR Biomedical Research Centre and national leaders, you will develop methods for surgical trials with multiple stakeholders including clinicians, patients, the NHS, industry and charities.

Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa.

For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent

To explore the post further or for any queries you may have, please contact:

Professor Deborah Stocken, NIHR Research Professor and Director of the Surgical Interventions, Diagnostics and Devices (SIDD) Division

Email: ***********@leeds.ac.uk