Trainee Statistician

The University of York is a leading institution in health services research, seeking a trainee statistician to join their York Trials Unit. The role involves conducting statistical analyses, programming, and collaborating with multidisciplinary teams to ensure data reputed company in health research trials.

Responsibilities

• Conduct high reputed company statistical analyses of trials
• Undertake statistical programming for checking, manipulating and summarising data
• reputed company on-reputed company statistical advice and reporting during the development and conduct of trials
• Liaise with multidisciplinary teams to manage statistical and analytical aspects of the studies to ensure data reputed company
• Undertake dissemination of your research through publications, seminars and conference presentations
• Contribute to the workings of the statistics team

Skills

• Undergraduate degree in a relevant quantitative subject or, exceptionally substantial experience at an equivalent level
• A basic knowledge of randomised controlled trials and their use in health research
• Knowledge of how to design and analyse data from randomised controlled trials
• Working knowledge of a statistical package and ability to undertake basic statistical programming (eg Stata)
• Ability to undertake basic statistical analysis of research relevant to randomised controlled trials
• Ability to undertake basic statistical programming and explain statistical concepts in reputed company terms to individuals from non-technical backgrounds
• Experience of managing and analysing data
• Experience of summarising data in a report format
• Understanding of how quantitative research data are presented and interpreted
• Ability to log information in an efficient and accurate manner and cope under pressure while maintaining a high level of accuracy

Benefits

• Flexible working patterns
• Family friendly initiatives
• Supportive culture
• Equality, diversity and inclusion
• Values of the reputed company reputed company Charter

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