About the Project
A 4-year, fully funded (UK tuition fees and stipend) project commencing in October 2021. This PhD studentship is delivered as part of the prestigious Industrial Cooperative Awards in Science & Technology (iCASE) EPSRC programme.
In this project, the student will use routinely collected NHS data from one if the UK’s largest primary care databases (https://orchid.phc.ox.ac.uk/) to study the usage and predictive validity of tumour markers.
Over-diagnosis (false positives) and under-diagnosis (false negatives) of cancers are sources of significant burden for patients and the NHS (cost and resources). Tumour markers measured from blood are increasingly used but have limited accuracy and predictive validity. The student will develop and validate predictive models for more accurate diagnoses of cancers using routinely collected NHS healthcare data. We will improve the understanding of the predictive value of tumour markers in relation to clinically relevant outcomes – e.g. the need for treatment. In the future, this could improve the usage of NHS resources and patient care.
Primary care and hospitals are developing large clinical datasets that could become powerful tools to support clinical decisions. This is a rapidly evolving area because the quality and volume of healthcare data is increasing. The University of Surrey with the National Physical Laboratory (NPL) and the tow strategic partners (University of Oxford and STFC) will provide, academic environment, expertise, access to data and innovative approaches that are required for the successful delivery of the project.
This is a collaborative project. The student will be predominately based in the Faculty of Health and Medical Science, University of Surrey with three months a year placement at NPL.
The student will develop skills in:
- Curation and analysis of large routine healthcare databases
- Predictive modelling
- Novel applications of machine learning to healthcare data
This is a 4-year project. The start date is flexible with no application deadline; recruitment will continue until a suitable candidate is employed.
- Applications are assessed on an individual basis, taking into account academic qualifications and relevant experience. Applicants must have a UK first class honours degree, or its international equivalent, in an appropriate subject; or a UK 2:1 honours degree plus a UK Master’s degree, or their international equivalents; or relevant qualifications and experience.
- Programming skills. Experience of R will be an advantage
- Strong interest in healthcare and in cancer
- Experience in the analysis of healthcare data and a healthcare background will be an advantage
- Excellent communication and organisational skills
- Ability to work independently and as part of a team
- Previous research publication track record will be an asset
- English language requirements: IELTS 7.0 overall with 6.5 in each band.
How to apply
Applications should be submitted through the University of Surrey website: https://www.surrey.ac.uk/postgraduate/health-sciences-phd#apply. Applicants are welcome to contact the primary supervisor Dr Agz Lemanska, [Email Address Removed], for informal enquiries before applying for the studentship.
Documents Required for Application:
- All degree certificates and transcripts
- Your curriculum vitae
- A research statement - outlining any areas of interest, motivations and previous experience
- Two references
Based on your current searches we recommend the following search filters.
Based on your current search criteria we thought you might be interested in these.
PhD Studentship Opportunity in Developing Patient Reported Outcome Measures to assist services to meet the priorities of older people with severe frailty; using mixed methods - The PRO-Frail study
University of Surrey