Research Assistant/Research Associate

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University of Cambridge

Cambridge, United Kingdom

Application Deadline
GBP26,715 to £40,322

Applied Statistician/Health Data Scientist/Statistical Epidemiologist (Fixed Term)

Research Assistant - £26,715 - £30,942

Research Associate* - £32,816 - £40,322

An exciting opportunity has arisen for a key analytical role to join the Department of Public Health and Primary Care (DPHPC). The post holder will work with the Cardiovascular Epidemiology Unit (CEU), which sits in the DPHPC. Led by Professor John Danesh Cardiovascular Epidemiology Unit (CEU).

The main role will be to coordinate and implement analyses of various risk factors for chronic disease in a portfolio of studies involving large epidemiological databases.

Specific examples of these analyses may include:

  • assessing novel and emerging risk factors for association with chronic disease in multi-study consortia;
  • investigating the incremental benefit of adding novel risk factors to existing chronic disease risk prediction scores;
  • integrating multi-omic data (e.g. proteomics, metabolomics and lipidomics, genotype array data) with cardiovascular risk factors to assess causality of associations.

Such analyses will provide internationally unique and unusually detailed insights into the relevance of novel risk factors to chronic diseases. The role will involve contributing importantly to a series of high-impact publications. The post holder will also help to establish new projects and contribute to core projects within the CEU.

The post holder will work in close conjunction with the senior epidemiologists and analysts in the CEU, including: Professor John Danesh, Dr Angela Wood, Professor Emanuele Di Angelantonio and Dr Adam Butterworth. You will be assigned to work principally in a group led by one of these individuals. You will also work closely with other members of the CEU and scientific collaborators based in other institutions.

The preferred candidate will have a PhD (or equivalent) in Statistics, Epidemiology, Health Data Science, mathematics or other related quantitative subject or have equivalent experience. They will have a strong understanding of inferential and quantitative concepts and a broad range of quantitative techniques, strong computational skills and experience of analysing datasets with electronic health records, coupled with an ability to analyse large and complex genomic datasets. They should have an ability to communicate and present results to other quantitative scientists, bio-informaticians, epidemiologists, clinicians and scientist, along with excellent verbal and written communications skills and strong organisational skills.

The funds for this post is available until 31 March 2022.

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

Informal enquiries can be made to Angela Wood,

Closing Date: 5 October 2020

Interview Date: Week commencing 19 October 2020

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 e-mail address and phone number, one of which must be your most recent line manager.

Please quote reference RH23374 on your application and in any correspondence about this vacancy.


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