Research Fellow - Statistician

Role Description

Department of Health Sciences

York Trials Unit (YTU) 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 seeking to expand our team of medical statisticians and appoint a new Statistician at Grade 6.

You will be based in our highly successful Trials and Statistics Group (https://www.york.ac.uk/healthsciences/research/trials/) and work alongside Professor Catherine Hewitt who leads the quantitative analysis in the Unit.  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.

YTU is a UKCRC registered trials unit undertaking national and international, scientifically rigorous, trials in a variety of areas whilst having a strong methodological portfolio associated with the conduct and analysis of trials.  YTU undertake trials in a range of subject areas including surgery, mental health, musculoskeletal disorders, social care, education and public health.

YTU is seeking an enthusiastic individual to contribute to the design and analysis of their trials and collaborate with colleagues on research projects, grant applications and creating impact.  It is envisaged that you will already have research experience in an area that would deepen, compliment and/or extend the existing research activity within the Trials and Statistics group, and across the wider Department (https://www.york.ac.uk/healthsciences/research/).  You will be expected to have a demonstrable track record of conducting high quality research focusing on the design and analysis of randomised controlled trials.

Role

• To conduct high quality statistical analysis of trials and other research studies.
• To perform statistical programming for checking, manipulating, summarising and analysis data.
• To provide statistical expertise at all stages of research studies supported by YTU, from inception to analysis.
• To conduct research under the supervision of senior colleagues and to contribute to the publication of research output.
• To assist in the identification and development of potential areas of research and the development of proposals for independent or collaborative research projects.

Skills, Experience & Qualification needed 

• First degree (2:1 or above) in a relevant quantitative subject
• Higher degree in a relevant quantitative subject eg medical statistics or, exceptionally, substantial experience at an equivalent level
• Knowledge of a range of statistical techniques and methodologies
• Knowledge of how to design and analyse data from randomised controlled trials
• Knowledge in statistics to engage in high quality research
• Research expertise in an area which will complement and enhance the Department’s research strategy and goals
• Ability to program using a range of computer software packages including at least one of the following: SPSS, Stata, SAS, R or a similar mainstream statistical package
• Experience of carrying out both independent and collaborative research
• Experience of writing up research work for publication
• Experience of analysing data from randomised trials

Interview date:  To be confirmed

For informal enquiries: please contact Professor Catherine Hewitt (catherine.hewitt@york.ac.uk)

The University strives to be diverse and inclusive  – a place where we can ALL be ourselves.

We particularly encourage applications from people who identify as Black, Asian or from a Minority Ethnic background, who are underrepresented at the University. 

We offer family friendly, flexible working arrangements, with forums and inclusive facilities to support our staff. #EqualityatYork