School of Engineering, University of Warwick
Supervisor: Professor Mike Chappell
Application deadline: Apply now
Duration: 3.5 years
PhD Studentship: Pharmacometric Modelling
We are looking for a research student to join our team to work on a pharmacometrics-based modelling project to improve efficiency in oncology clinical drug development through the application of dose-finding and synthetic control arms derived from longitudinal analyses.
Advancements in the field of oncology are rapidly changing the life expectancy of patients across many cancers. Therapeutic interventions are gradually shifting, from short intermittent cycles of cytotoxic drugs administered to large populations until progression or death, to the life-long chronic treatment of combinations of targeted and/or immunomodulating molecules in smaller populations. These advances raise several challenges in oncology drug development. The PhD will be performed in collaboration with AstraZeneca (AZ) and focuses on two specific challenges:
1. Do pharmacometrics based dose findings beyond the Maximum Tolerated Dose (MTD), balancing longer-term efficacy and safety, provide a feasible and cost-effective approach to clinical drug development in oncology?
Using a systems modelling estimation and optimisation based approach several dose-finding strategies in oncology drug development will be explored. This will be based on virtual development programmes, but the settings will reflect what is currently seen across oncology. The traditional MTD-paradigm will be compared with more extensive dose-ranging, longer-term efficacy and safety evaluations, with decision-making based on the longitudinal analysis. This will be tied in with an analysis of costs to evaluate the feasibility and added value.
2. Can longitudinal analyses of historical clinical trial data and real-world datasets be leveraged to establish synthetic control arms for phase I/II trials to increase efficiency and minimise costs in oncology clinical drug development?
Several internal AZ datasets and external databases will be identified and used for longitudinal modelling, linking drug exposure, biomarkers, genetics and other information to relevant clinical trial outcomes. These efforts will be aligned with ongoing development projects and the focus will be on the application of existing modelling and statistical approaches, facilitation decision-making, and preventing negative pivotal trials.
The Scholarship will pay an annual tax-free stipend at the standard rate, currently £15,250, and cover tuition fees at the Home/EU rate for 3.5 years. This is an EPSRC Case Award with AstraZeneca (Cambridge) who are providing £25K to support the award plus data, co-supervision and secondments at their Cambridge base to support the project.
Due to funding restrictions, this scholarship is for Home/EU candidates only. Entry requirements of at least an upper second class honours or the equivalent and/or a Master's degree at Merit level or its equivalent. Two academic references are also required, you should nominate referees who can provide an informed view of your academic ability and suitability for your chosen programme of study. An English language qualification (Band A) will be required if English is not your first language.
How to apply:
Apply directly via the University of Warwick admission system where you will be invited to upload your degree certificate, transcripts, CV and a personal statement that explains your interest in this project and why you should be considered for this award.
Application Form Course Details:
Application form: http://www.go.warwick.ac.uk/pgapply
The University values diversity and is committed to equality of opportunity.