• University of East Anglia Featured PhD Programmes
  • University of Stirling Featured PhD Programmes
  • University of Glasgow Featured PhD Programmes
  • University of Manchester Featured PhD Programmes
  • Staffordshire University Featured PhD Programmes
  • Queen’s University Belfast Featured PhD Programmes
  • Northumbria University Featured PhD Programmes
  • University of Southampton Featured PhD Programmes
Brunel University London Featured PhD Programmes
University of Leeds Featured PhD Programmes
Imperial College London Featured PhD Programmes
University of Glasgow Featured PhD Programmes
University of Surrey Featured PhD Programmes

PhD in Interdisciplinary Biomedical Research: Statistical design and analysis of clinical studies using personalised healthcare under biomarker uncertainty

This project is no longer listed in the FindAPhD
database and may not be available.

Click here to search the FindAPhD database
for PhD studentship opportunities
  • Full or part time
    Dr D Parashar
  • Application Deadline
    No more applications being accepted
  • Awaiting Funding Decision/Possible External Funding
    Awaiting Funding Decision/Possible External Funding

About This PhD Project

Project Description

University of Warwick l Supervisors: Dr Deepak Parashar (University of Warwick) and Dr Chris Harbron (Roche Pharmaceuticals)

Statistical design and analysis of clinical studies using personalised healthcare under biomarker uncertainty

Project summary

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 DTP in Interdisciplinary Biomedical Research. This project will suit a student with a good undergraduate degree in statistics or a related discipline.

This Industrial Collaborative Awards in Science and Engineering (iCASE) studentship is offered by the MRC Funded Doctoral Training Partnership (DTP) in Interdisciplinary Biomedical Research. The successful candidate will be part of the DTP community throughout the four years of study.

Students will be supervised jointly by a Warwick Principal Investigator and an industry partner, and will undertake a minimum of three months’ placement with the industry partner.

Studentship and Entry Requirements

Studentships covering full fees, consumables and annual stipend of £17,300 are available. See warwick.ac.uk/mrcdtp for full information.

Entry Requirements
A strong first degree (2i or above) or international equivalent in the Physical Sciences or Life Sciences plus A Level Maths or equivalent.

How to Apply

If you are interested in joining our dynamic DTP community please apply at warwick.ac.uk/mrcdtp/icase by 4th March 2018.

Interviews will take place on 11th and 13th April 2018.

Funding Notes

Funded studentship available for entry in October 2018 (eligibility criteria apply). See https://warwick.ac.uk/fac/med/study/mrcdtp/apply/ for funding eligibility criteria.


Cookie Policy    X