About the Role

This is a two prong project. The student will develop skills running small clinical studies that implement data-driven prediction algorithms to identify and test for cancer people who are at an increased risk. The focus will be on pancreatic cancer. The prediction algorithms already exist, they were developed for routine data, and they could be used to identify people at risk and test them for cancer (real-life). Currently many people with pancreatic cancer are diagnosed too late for curative treatment and therefore we need data driven approaches to support early diagnosis. The student will develop skills in setting up clinical studies. They will write a protocol and design all the study materials (including patient information leaflet), they will obtain ethics approval and conduct the study in clinical practice. We therefore request that the student has excellent communication skills and is willing to engage with clinicians and patients. The second part of this project will involve data analysis. Routinely collected healthcare data and national registers will be analysed to model trends in data, for example to identify cancer symptoms that could help in early diagnosis or produce cancer risk prediction models.

The student will be encouraged to publish papers based on their data work, to produce software open access and to gain skills in working with healthcare data. We therefore request that the prospective students that apply for this studentship have some expertise in data analysis, skills and keen interest to work with large healthcare data and skills in computer programming.

This project will be jointly based at the University of Surrey and at the National Physical Laboratory (NPL). NPL is the UKs national measurement institute based in Teddington and strategic partner of the University of Surrey.

Link to apply: Applications should be submitted via the Health Sciences PhD programme (https://www.surrey.ac.uk/postgraduate/health-sciences-phd#apply) please select October 2022 start date.

Please state the studentship title and the name of the first supervisor: Dr Agz Lemanska. Please email [email protected] to advise of your application.

About You

Skills and abilities desired:

Science, maths, computer sciences or healthcare degree

Communication skills, ability to engage with clinicians and patients

Data analysis and programming skills

Interest in healthcare data and analysis of large datasets.

About The Company

NPL and BEIS have strong commitments to diversity and equality of opportunity, and welcome applications from candidates irrespective of their background, gender, race, sexual orientation, religion, or age, providing they meet the required criteria. Applications from women, disabled, black, Asian and minority ethnic candidates in particular are encouraged. All disabled candidates (as defined by the Equality Act 2010) who satisfy the minimum criteria for the role will be guaranteed an interview under the Disability Confident Scheme.

We’re transforming. As a national laboratory, we’re exploring even more commercial routes to market and that’s presenting us with greater opportunity – for you and us. Our success relies on the diversity and talent of our people, we strive to nurture and respect individuals to ensure everyone feels valued and supported to excel in their chosen field. This value is at the core of our organisation.

We believe in a culture of fairness by treating everyone on the basis of their own individual merits and abilities regardless of their own or perceived identity, background or any other factor irrelevant to a person’s work. At NPL we are committed to the health and well-being of our employees. Flexible working and social activities are embedded in our culture to create a positive work-life balance, along with a broad range of benefitsNPL’s values are at the heart of what we do and they shape the way we interact, develop our people and celebrate success.

As part of our commitment to diversity & inclusion, we signed up to the Institute of Physics' Project Juno in 2015 as a Juno Supporter. NPL were proud to be awarded Juno Practitioner status in 2018. NPL also joined Stonewall as a Diversity champion in 2015, participating in their annual Workplace Equality Index for the equality of LGBT+ community at NPL. In 2018, NPL became a member of the Business Disability Forum and joined the disability confident scheme as level 1 committed employer.

To ensure everyone has an equal chance, we’re always willing to make reasonable adjustments to the recruitment process. If you would like to discuss, please contact us.

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