Research Assistant/Research Associate* in Applied Statistics/Health Data Science/Statistical Epidemiology (Fixed Term)

Updated: 18 days ago
Location: Cambridge, ENGLAND
Job Type: Permanent
Deadline: 22 Apr 2021

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

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

An exciting opportunity has arisen for a key analytical role in the Cardiovascular Epidemiology Unit (CEU), Department of Public Health and Primary Care. The main role will be to conduct and disseminate high quality, high priority and applied research to further our understanding of the longer-term effects of Covid-19 using whole population electronic health records. Specific examples of these analyses include:

  • characterising the sub-phenotypes of long-Covid using approaches to assess the frequency and clustering of symptoms, diagnoses and test results;
  • identifying predisposing risk factors such as sociodemographic, lung function, cardiometabolic and mental health, and severity of initial Covid-19 illness;
  • identifying determinants of recovery from long-Covid.

The UK's Chief Scientific Officer, Sir Patrick Vallance, has established a COVID-19 National Core Studies (NCS) programme to conduct rapid, high priority, policy relevant research. The Longitudinal Health and Wellbeing NCS (LHW NCS), co-led by Professor Nishi Chaturvedi (UCL) and Professor Jonathan Sterne (University of Bristol), is coordinating a UK-wide team conducting analyses of population-based longitudinal studies linked to extremely large population-level datasets based on electronic health records (EHRs). These include OpenSAFELY and the new NHS Digital Trusted Research Environment Service for England, each of which includes linked data on more than 50 million people. The LHW NCS team was recently awarded £9.6m to study long COVID, in addition to other priority areas under investigation.

The postholder will join the expanding team working within the LHW NCS. They will work principally with Dr Angela Wood (Reader in Health Data Science, Cambridge) and in collaboration with other team members across the UK, in particular the University of Bristol, London School of Hygiene and Tropical Medicine, University College London and University of Oxford to deliver this multi-institutional programme of research. They will also benefit from working in close conjunction with the senior epidemiologists and analysts in the CEU, including Professor John Danesh, Professor Emanuele Di Angelantonio and Dr Adam Butterworth. The preferred candidate will have a PhD (or equivalent) in Statistics, Epidemiology, Health Data Science 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 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.

*Appointment at research associate is dependent on having a PhD (or equivalent experience is recognised), including those who have submitted but not received their PhD. Where a PhD has yet to be awarded or submitted appointment will initially be made at research assistant and amended to research associate when the PhD is awarded. If an individual has not submitted a PhD or is not working towards one they could be appointed as a Research Assistant if they have either a degree (degree and/or Master's) in a relevant area or equivalent experience.

This is a full-time position and the funds for this post are available until 31 January 2024 in the first instance.

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 Dr Angela Wood, amw79@medschl.cam.ac.uk

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

Closing Date: 22 April 2021

Interview Date: Week commencing 10th May 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 e-mail address and phone number, one of which must be your most recent line manager.

Please quote reference RH26157 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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