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Research Associate (Fixed Term)


We seek a researcher for a key role within the department of Medical Genetics in association with the department of Public Health and Primary Care at the University of Cambridge.

This position is funded through a CRUK Catalyst Award: "CanGene-CanVar: Data Resources, Clinical and Educational Tools to leverage Cancer Susceptibility Genetics for Prevention and Early Detection of Cancer". This large national programme, part-based at the University of Cambridge, is designed to deliver research and resources that will improve how we deliver national NHS testing for cancer susceptibility genes such as BRCA1, BRCA2 and genes for Lynch Syndrome. This is a collaborative program of work that involves seven Higher Education Institutes (Cambridge, Institute of Cancer Research, Southampton, Manchester, Leeds, Oxford and St George's University London) as well as Public Health England (Health Data Insight) and senior members of NHS England and Health Education England. The successful applicant will work within a large collaborative team of scientists, clinicians and patients. There will also be opportunities to partner with other national and international collaborators who are working on partner projects.

The aim is to capitalize upon an entirely novel set of datasets generated from linkage of genetic data going as far back as 20 years and taken from routine testing of cancer susceptibility genes across 22 UK molecular diagnostics laboratories, with routinely collected datasets held at the Public Health England National Disease Registration Service (including National Cancer Registration and Analysis Service - NCRAS). The post holder will develop a close understanding of the structures of NRCAS routinely collected cancer data and through this role, will liaise between the Public Health England National Disease Registration Service and the Departments of Public Health and Primary Care and Medical Genetics to facilitate and carry out the analyses of complex data. This will involve both the development of novel methods and use of existing methods and their application to the linked datasets. The successful applicant will also provide supervision to two PhD students working on the project and will work with Dr Marc Tischkowitz from the department of Medical Genetics and Professors Antonis Antoniou and Paul Pharoah from the department of Public Health and Primary Care.

The post will suit candidates with strong quantitative and analytical skills who possess a PhD in epidemiology, public health, health services research, medical statistics or a related quantitative discipline. Candidates should have experience in the application/development of analytical techniques for large-scale data from NHS health records. They should also have excellent writing, presentation and communication skills. They should have excellent statistical programming skills e,g, in R or Stata. Experience in the analysis of linked data from electronic health records and/or genomic/molecular data will be considered an advantage.

For queries regarding applying online for this post, please contact
Dr Marc Tischkowitz mdt33@cam.ac.uk

Fixed-term: The funds for this post are available until 30 April 2023 in the first instance.

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

Please ensure that you upload your Curriculum Vitae (CV) and a covering letter 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 e-mail address and phone number, one of which must be your most recent line manager.

Closing Date: 1st March 2020

Interview Date: to be confirmed

Please quote reference SS22326 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.

Further information

Apply online