Research Fellow - Population Statistician

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Belfast (City/Town) (GB)
£33,199 - £39,610 per annum (potential to progress to £43,266 per annum
17 Jun 2019
End of advertisement period
17 Jul 2019
Academic Discipline
Life sciences
Contract Type
Fixed Term
Full Time

Queen's University Belfast is one of the leading universities in the UK and Ireland, with a distinguished heritage and history. With over 24,000 students, 3,700 staff and an annual turnover of some GBP 300m, Queen's University Belfast plays a unique leadership role in Northern Ireland. As a member of the Russell Group of UK research-intensive universities, Queen's University Belfast combines excellence in research and education with a student centred ethos.

This exciting position will allow the successful candidate to join the recently established Health Data Research Wales Northern Ireland Substantive Site, one of only six sites in the UK as part an initial overall investment of GBP 54M by Health Data Research UK (HDR-UK). Particular thematic areas include Modernising Public Health and Enabling Precision Medicine

The successful candidate will become a member of the QUB HDR-Wales Northern Ireland research team assisting Prof Liam Heaney and Professor Frank Kee in a programme of research focused on using electronic health records and public health data-sets to better define determinants and outcomes of respiratory health and wellbeing in the Northern Ireland population, addressing, initially, asthma and associated multi-morbidity. The post will involve the application of hypothesis-driven statistical approaches for discovery and validation of novel phenotypes and predictors of outcomes using large existing population administrative data, clinical registers and electronic health records. Northern Ireland has one of the most developed electronic health records and public health data-sets in the UK, so the applicant will have the opportunity to conduct high quality research that will resonate at local, national and global levels.

This post is available until 31 January 2024.

Candidate Information
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