Job Description

An exciting opportunity has arisen for three new key analytical roles in the Cardiovascular Epidemiology Unit (CEU), Department of Public Health and Primary Care.

A key responsibility of these analytical roles will be to conduct and disseminate high quality, high priority, applied research using linked national hospital, primary care, mortality, COVID-19 test data, vaccination data and specialist audit and registry datasets across the four devolved nations. Specific examples of these analyses include quantifying associations between Covid-19 and multiple chronic diseases and developing risk prediction models.

The post-holders will contribute to the development and application of reproducible analysis pipelines using a range of statistical methods (eg, Poisson and Cox regression, missing data methods, inverse probability weights, meta-analysis, propensity scores) and the production of high-quality tables and figures for publication.

The post holders will work in close conjunction with the senior epidemiologists and analysts in the CEU, including: Professors Angela Wood, Professor Emanuele Di Angelantonio, Dr Stephen Kaptoge and Dr Lisa Pennells. You will also work closely with other members of the CEU and scientific collaborators based in other institutions.

The preferred candidates will have a PhD (or equivalent) in Statistics, Epidemiology, Health Data Science or other related quantitative subject. 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 large epidemiological datasets, ideally with electronic health records. They should have an ability to communicate and present results to other quantitative scientists, bio-informaticians, epidemiologists, clinicians and scientists, along with excellent verbal and written communications skills and strong organisational skills.

This position is available full-time or part time of no less than 50% FTE for the duration of 2 x 12 month positions and 1 x 9-month position.

We strongly value and encourage Equity, Diversity and Inclusion as well as a flexible working environment.

If you have any questions please contact Professor Angela Wood,

Closing date: 16 July 2023

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 that 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.

Research Assistant - Grade 5: \xc2\xa328,929 - \xc2\xa333,348 Research Associate - Grade 7: \xc2\xa335,308 - \xc2\xa343,155

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