Applications are now open for a PhD studentship in Clinical Trials Methodology at The Institute of Cancer Research (ICR), London
This ICR PhD studentship will be based at the ICR’s Clinical Trials and Statistics Unit (ICR-CTSU) at the Sutton site. The successful candidate will join a wider national cohort of PhD students as part of the MRC-NIHR Trials Methodology Research Partnership. This is an exciting opportunity to undertake a fully funded PhD in Clinical Trials Methodology in Cancer with a generous stipend, currently £21,000 per annum, as well as having fees and project costs paid for the four-year duration.
There are two projects – for one funded place:
Project 1: Statistical Issues in Design and Analysis of Platform Trials in Cancer (https://buff.ly/31nE9rj)
Supervisors: Profs Christina Yap (ICR), Judith Bliss (ICR), James Wason (Newcastle University)
Project 2: Development of Innovative Adaptive Designs to Improve Efficiency in Early Phase Clinical Trials (https://t.co/
Supervisors: Profs Christina Yap (ICR), Judith Bliss (ICR), Adrian Mander (Cardiff University)
The successful candidate will work within a large group of statisticians in ICR-CTSU. S/he will also work collaboratively with clinicians and scientists in ICR in a highly interdisciplinary environment, and will benefit further from interaction with external leading experts in the field. There are excellent opportunities for the newly developed efficient methodologies to be applied to existing clinical trials, as well as to influence the design and analysis of future trials.
Eligibility: The scheme is open to nationals from all countries, with full fees provided and a generous stipend. Either project would suit a candidate with strong statistical and computational skills. The candidate would be highly numerate with a keen interest in developing statistical methodology and implementing them in cancer clinical trials. Candidate must already have been awarded a first-class or second upper class honours degree in Mathematics or Statistics. A Master’s degree or equivalent in medical statistics or a related quantitative discipline, or experience of working in clinical trials would be desirable.
The studentship will be awarded on the basis of merit to commence in Autumn 2019 (or as soon as possible thereafter).
Closing date: Friday 28th June 2019 at 17:00
For an informal discussion about the projects, please contact Christina Yap (email@example.com).