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Research Associate, Health Sciences

Health Sciences
Based at
University of York - Heslington Campus
Hours of work
Contract status
Fixed term
32,817 - 40,322 a year
Interview Date
23 October 2020
Posted Date
Apply by
Job Reference

Role Description


This is an exciting opportunity for a highly motivated research fellow with experience in quantitative data analyses and handling large data sets to contribute to the multi-disciplinary team in the Martin House Research Centre (

You will be a member of the Martin House Research Centre working under the direction of Dr Lorna Fraser at the University of York. This Centre is based in the Department of Health Sciences at the University of York and is a collaboration with the Social Policy Research Unit at the University of York (, the University of Leeds and Martin House Children’s Hospice ( The Centre’s aim is to undertake high quality research that will help to ensure that all children with life-limiting conditions and their families receive equitable, high quality care.


The successful candidate will have a strong background in quantitative data analysis and handling large health data-sets.  They will work on projects using cancer registry data, hospital episodes statistics, office for national statistics and CPRD data and will be involved in preparing data access applications, developing research question(s) and data analyses plans, data cleaning, data analyses and manuscript/report writing. They will be expected:

  • To conduct research under the supervision of senior colleagues and to contribute to the production of research
  • To assist in the identification and development of potential areas of research and the development of proposals for independent or collaborative research projects
  • To write or contribute to project outputs (project reports, non-technical summaries, peer-reviewed papers) to summarize main findings

Skills, Experience & Qualifications needed

  • First degree in relevant scientific or health related discipline
  • A PhD in a relevant topic area, or be close to submitting your PhD and have experience of undertaking secondary data analyses studies using complex, linked datasets
  • Knowledge in quantitative research methods and a strong working knowledge of a range of research techniques and methodologies
  • Practical experience in quantitative data analysis including complex analyses
  • Skilled in the use of command driven statistical packages e.g. Stata, R or SAS
  • Highly developed communication skills to engage effectively with a wide ranging audience
  • Experience of handling large, complex datasets in database or statistical applications; undertaking systematic reviews and meta-analyses; analysing large data sets using advanced statistical techniques e.g. multi-level modelling, time to event analyses
  • Evidence of dissemination of scholarly work e.g. publications or presentations

This is a full-time, fixed term post for 24 months, starting 1 January 2021, with the potential for extensions subject to availability of further funding. 

Interview date: 23 October 2020

For informal enquiries, please contact Professor Lorna Fraser at

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