Job offer in Ireland Research Fellow at Queen’s University Belfast

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, 4,200 staff and an annual turnover of some £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.

Queen’s University has generous terms and conditions of employment underpinned by excellent benefits. We also provide attractive well-being, family friendly and other lifestyle benefits. 

Our five core values (Integrity, Connected, Ambition, Respect, Excellence) have been developed by staff and students. They express our shared understanding of what we believe, how we aim to behave and what we aspire to be as an international organisation.

The Centre for Public Health (CPH) sits within the School of Medicine, Dentistry and Biomedical Sciences (MDBS) at Queen’s University Belfast.  

The Centre aims to advance the health of the public at a regional, national and international level, by increasing knowledge and influencing clinical and public health practice and policy.

We are recruiting for a Research Fellow to support researchers wishing to undertake research of linked administrative data within the Northern Ireland Administrative Data Research Centre (NI-ADRC). This is one of three centres across the UK that is being established, within the Administrative Data Research Partnership (ADRP), to facilitate the safe linkage and analysis of routine Government administrative datasets and has input from Queen’s University, the University of Ulster and the Northern Ireland Statistics and Research Agency – NISRA).  

The successful candidate will have a high level of competence in appropriate statistical analysis and experience of working with record linkage and large or complex datasets. 

The postholder will be responsible for the statistical and methodological support for the Administratative Data Research Centre. 

The successful candidate will have:

  • A primary degree in a subject with a significant quantitative component eg in a public health, education, social and behavioural sciences, or a statistics-related subject.
  • Have or be about to obtain a relevant PhD in epidemiology, applied statistics, public health-related area, education, social and behavioural sciences, economics or a quantitative social sciences.
  • Proven recent research experience and skills relevant to this project e.g. in record linkage, database management, statistical analysis, working with large epidemiological or trial datasets.
  • Experience of data governance and issues related to data linkage.
  • Experience of using statistical packages such as SPSS or STATA. 

This post is available for 2 years.  

Salary is £33,199 to £37,345 per annum. 

Informal enquiries may be directed to Dr David Wright via email d.wright@qub.ac.uk

Further information about the Centre can be found at https://www.qub.ac.uk/research-centres/CentreforPublicHealth/ 

Closing date: Wednesday 14 August 2019 

For full job details and essential/desirable criteria please refer to the candidate information link on our website by clicking apply. You must clearly demonstrate how you meet the criteria when you submit your application. For further information or assistance contact Resourcing Team, Queen’s University Belfast, BT7 1NN. Telephone (028) 9097 3044 or email on resourcing@qub.ac.uk 

The University is committed to equality of opportunity and to selection on merit. It therefore welcomes applications from all sections of society and particularly welcomes applications from people with a disability  

Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding.

LEAVE A REPLY

Please enter your comment!
Please enter your name here