Research Associate - Applied Statistician/Biostatistician/ Health Data Scientist

The University of Cambridge is one of the world's oldest universities and leading academic centres. If you're looking for a new challenge and would like excellent benefits, extensive learning opportunities and a stimulating working environment in return for your skills and contribution, there could be a job here for you.

An exciting opportunity has arisen to join a new project exploring kidney cancer follow-up. The project is funded by the National Institute for Health Care Research and aims to develop a new resource to support decision-making about follow-up care after surgery for individuals with localised kidney cancer. The project includes the development and validation of models to predict survival outcomes alongside implementation of the model within a new online tool and a feasibility study exploring the use of the new tool within clinical practice.

The post-holder will be responsible for conducting high quality analytic research using large health datasets. They will work on developing and validating the models to predict survival outcomes after kidney cancer surgery, using linked health data from registries and hospital records. The successful applicant will join a multi-disciplinary team of researchers and clinicians with expertise in health data science, risk-stratification and kidney cancer care. As well as joining the team at the Primary Care Unit, they will also work closely with researchers in the Centre for Cancer Genetic Epidemiology.

Over the course of the role, the post-holder will develop a robust analysis pipeline for: data curation (including extraction of relative information from electronic health records and management of missing data), the development of competing risks models, and the validation of new models in a second dataset. They will also work with other members of the team to prepare manuscripts for publication and disseminate findings.

Preferred candidates will have a PhD (or equivalent qualifications or research experience) in statistics, epidemiology, health data science or another related quantitative subject. They will have a good understanding of biostatistical concepts (including prognostic modelling), strong computational skills and experience of analysing large epidemiological datasets. They should have an ability to communicate and present results to other quantitative scientists, clinicians, and researchers, along with excellent verbal and written communications skills and strong organisational skills.

Appointment at Research Associate level is dependent on having a PhD (or equivalent experience), including those who have submitted but not yet received their PhD. Where a PhD has yet to be, awarded appointment will initially be made at research assistant and amended to research associate when the PhD is awarded (PhD needs to be awarded within 6 months of the start date).

The funds for this post are available from 1 February 2024 until 31 January 2025.

This is a full-time position, we welcome part-time applications of no less than 80% FTE per week

Location - Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, Cambridge CB1 8RN (approx 2 miles south of city centre)

We welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Informal enquiries can be made to Dr Hannah Harrison (

Closing date: 6 December 2023

Interview Date: 15th December 2023 (am)

Please ensure that you upload a covering letter and a CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

Please quote reference SN39308 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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