The project title is «Statistical design and analysis of clinical studies using personalised healthcare under biomarker uncertainty».
In collaboration with Roche, the PhD project will address an important issue on the role played by continuous biomarkers in the identification of patients most likely to benefit from a particular treatment within the setting of Personalised HealthCare. In order to identify cut-offs that define the targeted subgroup of patients, novel statistical and machine learning methods will be used on large datasets from clinical trials. The research problem shall form a crucial part of the biomarker-driven drug development programme from a pharmaceutical industry perspective. A unique opportunity is, therefore, available for embarking on a challenging biomedical statistics research area in a pan academic-industry environment via the MRC iCASE studentship as part of the Warwick DTP in Interdisciplinary Biomedical Research.
This project will suit a student with a good undergraduate degree in statistics or a related discipline. Candidates currently in the final year shall also be considered. The successful candidate will join a vibrant and expanding team of research statisticians at the Statistics and Epidemiology Unit, led by Professor Nigel Stallard, within the Division of Health Sciences of Warwick Medical School. The academic supervisor will be Dr Deepak Parashar and industrial supervisor Dr Chris Harbron. There will, therefore, be opportunities to spend time at Roche at regular intervals during the PhD.
The studentship starts in October 2018, is fully funded by the MRC, University of Warwick, and Roche, and includes a generous stipend of £17,315 per annum, a substantial research allowance, and tuition fees for a period of 4 years. Eligibility, application, and programme details are available at the Warwick DTP webpage with links to the projects page and online submission form.
Application Deadline: 04 March 2018.