We are looking for a highly talented Computer Associate/Statistical Programmer to contribute to an exciting programme of work on the development of cancer risk prediction tools for breast, ovarian and prostate cancer, funded by Cancer Research UK. The main objectives of the programme are: (1) to develop and validate quantitative tools for cancer risk-stratification and prevention that take advantage of discoveries in both cancer genomics and epidemiology; and (2) to enable cancer risk prediction within routine front-line healthcare to facilitate the identification and management of at-risk individuals and promote cancer prevention and early detection.
The successful applicant will work within a team of researchers and software developers at the Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge. They will be involved in the development of risk prediction algorithms for common cancers combining genetic and epidemiological data.
Specifically, the post holder will be responsible for developing novel algorithms and optimising and extending existing computer software to incorporate the explicit effects of novel cancer susceptibility genes and risk factors into cancer risk prediction models; to customise cancer risk prediction algorithms to diverse populations; to predict cancer subtype specific risks; and use coding standards, test driven development and performance profiling. The post holder will also be involved in the development of software to perform computer intensive analyses on study data in conjunction with other members of the group. The post holder will liaise closely with the web programmers to incorporate the risk prediction algorithms in the CanRisk (www.canrisk.org) tool for clinical users.
Applicants for this position will have a PhD in computing or a science based discipline or an equivalent level of professional qualifications or experience, with experience in the use of a high-level programming language. Experience of computing in the context of statistics, genetics, epidemiology or bioinformatics would be a strong advantage.
This is a full-time position and funding is available until 31 August 2026.
Location - Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, Cambridge CB1 8RN
Informal enquiries can be made by email to Professor Antonis Antoniou (firstname.lastname@example.org)
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Closing Date: 26 September 2021
Interviews are expected to take place on 6 October 2021
Please ensure that you upload a covering letter and 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 RS27997 on your application and in any correspondence about this vacancy.
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