4-year PhD studentship within Biostatistics Research Group, University of Leicester in collaboration with University of Birmingham and AstraZeneca, for candidates with strong statistical background.
Title: Analytic methods for leveraging complex data to inform effective evaluation of cancer therapies
Supervisors:
Prof Sylwia Bujkiewicz (UoL),
Prof Richard Riley (UoB),
Dr Sam Khan (UoL)
Wider supervisory/collaborators team: Dr Daniel Jackson and Dr Sajan Khosla (AstraZeneca) and Dr Janharpreet Singh (UoL)
The application deadline is midday (GMT) Friday 10 January 2025.
Open to UK and international students.
Webinars for prospective applicants are being held on Friday 6 December 2024 at 12:00 GMT and second on Monday 9 December 2024 at 18:00 GMT. Register here:
The above website includes further details about the application procedures.
Please contact me for informal queries at sylwia.bujkiewicz@le.ac.uk
Project description:
This project will tackle methodological challenges occurring at different milestones of drug development process, including regulatory approvals and particularly HTA decision-making by agencies such as NICE, when evaluating new cancer therapies. Modern cancer therapies are often targeted to small subsets of patients who harbour a particular biomarker. Survival data from clinical trials evaluating the effectiveness of therapies in a cancer subtype may be limited. You will explore use of other sources of data; based on alternative outcomes, study types or other cancers, which may need to be synthesised efficiently for reliable policy decisions. You will apply a range of modern tools from biostatistics (including Bayesian statistics, meta-analysis and survival analysis), epidemiology and data science and develop novel approaches for evaluation of cancer therapies.
This project is part of an exciting collaboration with University of Birmingham and AstraZeneca. You will benefit from an experienced supervisory team with expertise in statistics and oncology and an industry partner. This PhD in Biostatistics will provide you with an opportunity to develop advanced analytical skills, gain insight into drug development and decision-making processes and influence important decisions in healthcare. A suitable candidate will have MSc in Statistics, Medical Statistics or a related discipline.
