York Trials Unit
Department of Health Sciences, University of York, UK
Vacancy: Research Fellow Statistician (Grade 6)
Salary: £32,817 - £40,322 per annum
York Trials Unit is one of the UK’s leading centres for the design and analysis of randomised controlled trials. Due to the continued success of the Unit, we are now seeking to appoint a new statistician at Grade 6. You will join a team of statisticians under the supervision of Professor Catherine Hewitt. The post offers the opportunity to be part of a large and successful multi-disciplinary department, renowned for its methodological expertise and commitment to policy relevant research.
You will conduct high quality statistical analyses of trials, undertake statistical programming for checking, manipulating, summarising and analysing data, and assist in the development of research proposals. You will provide statistical expertise at all stages of research studies supported by the trials unit, from inception to analysis. You will be encouraged to undertake dissemination of your research through publications, seminars and conference presentations and contribute to the identification of possible new areas of research. You will assist in the identification and development of potential areas of research and the development of proposals for independent or collaborative research projects. You will assist with postgraduate teaching in statistics and support statistical aspects of dissertation supervision.
Key requirements:
- MSc in a relevant quantitative subject
- Knowledge of the types of statistical methods associated with trials
- Knowledge of how to design and analyse data from randomised controlled trials
- Ability to program using a range of computer software packages (e.g. Stata, R)
- Experience of writing up research work for publication
- Experience of managing and analysing trial data
Informal enquiries welcome to Professor Catherine Hewitt ([log in to unmask]; + 44 (0)1904 321374).
For more information visit:
https://jobs.york.ac.uk/wd/plsql/wd_portal.show_job?p_web_site_id=3885&p_web_page_id=407819
Closing date: 27 January 2020
Interview date: 24 February 2020
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