Research Fellow, Administrative Data
Application closing date 08/01/2020
Salary £33,797 to £38,017 per annum.
Job category/type Research
Queen's University Belfast is a driver of innovation based on our talented, multinational workforce. Throughout the University, our academics are collaborating across disciplines to develop new discoveries and insights, working with outside agencies and institutions on projects of international significance. We are connected and networked with strategic partnerships across the world, helping us to expand our impact on wider society locally, nationally and globally. The University is committed to attracting, retaining and developing the best global talent within an environment that enables them to realise their full potential.
We are a leader in gender equality and diversity, and are one of the UK's most successful universities in the Athena SWAN initiative which promotes gender equality and career progression. The School of MDBS holds an Athena SWAN Silver award in recognition of our commitment and success in addressing gender equality, representation, progression and success for all our staff. We are ranked 1st in the UK for knowledge transfer partnerships, (Innovate UK) 9th in the UK for University facilities (Times Higher Education Student Experience Survey 2018) and 14th in the UK for research quality (Times and Sunday Times Good University Guide 2019).
Based in Belfast, a modern capital city, our beautiful campus is surrounded by abundant acres of parkland and is renowned as one of the safest and affordable cities in the UK. The choice of local Schools from pre-nursery upwards are some of the best available, and lovers of the outdoors can enjoy any number of activities from rowing and kayaking to top class golf among many others. We are immensely proud of what our city and our University will offer you.
Our five core values - Integrity, Connected, Ambition, Respect, Excellence - are shared by our staff and students, representing the expectations we have for ourselves and each other, guiding our day-to-day decisions and the way we behave as individuals in 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 (Administrative Data) 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.
- At least 3 years' 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.
Informal enquiries may be directed to Dr David Wright via email email@example.com