Research Analyst - UOD1953

We are recruiting for an exceptional individual to join us as a Research Analyst within the School of Medicine, to support a Scottish Medical Education Research Consortium (SMERC) funded research project that aims to understand the origins of the Scottish GP workforce, especially in hard to recruit areas.

The research will use a quantitative approach and the UK Medical Education Database (UKMED). a repository which collates data about UK doctors' education pathways. As such, it is an exciting opportunity to work on research designed to fill a knowledge gap in the evidence-base currently underpinning Scottish educational and workforce policy.

This post is a valuable opportunity for a postdoctoral researcher to take a lead role working with longitudinal datasets in a safe-haven environment, and in preparing findings for publication. It will give you the opportunity to expand your skills and exercise your independent working, with the support and supervision of other researchers experienced with this type of analysis and data.

The research is a collaboration between researchers at the University of Dundee and the University of Glasgow. You will be joining a team with substantial expertise in the field, who meet regularly, and who prioritise a supportive work environment.

The University of Dundee enjoys an international reputation for excellence that attracts top-class students and academics from across the world - with over 140 countries represented in the University community. You will be based at Ninewells Hospital and Medical School, one of Europe's largest teaching hospitals where the School of Medicine provides outstanding opportunities in medical education and training supported by world class research facilities.

We are advertising this position at full-time working for approximately 3 months duration, however other arrangements for part time working will be considered. This post is for a fixed term as it is dependent on external funding. As such, the need for the post will cease to exist when funding runs out.

We utilise a flexible working policy and the post holder will be eligible for homeworking on a regular basis by mutual agreement.

Your priorities will include:

• Preparing the datasets and undertaking the statistical analysis of the data. This will include interpreting data sets and, where appropriate, coding and formatting this material.
• Reporting the research findings in project reports, summary documents and project outputs, including academic journal publications.
• Leading the day-to-day running of the project, including the organisation of research team meetings.
• Clearly communicating with research team members and our partners at UKMED.
• Maintaining and expanding your knowledge and skills via scholarly activity, CPD and mandatory training.

Who we're looking for:

• A PhD (or comparable level of experience) in a subject that required statistical analysis.
• Recent experience of quantitative research methodologies and of research in a relevant subject area.
• Evidence of the management of research project(s), including the management of quantitative data
• Requisite skills to effectively undertake the statistical analysis, including proficient use of the statistical package SPSS

The calibre of research at Dundee is high, with 95 per cent of staff working in areas of national or international excellence. Dundee benefits from a developed network of inter-disciplinary researchers collaborating across various Schools across our community.

For further information about this position please contact Dr Ben Kumwenda at b.kumwenda@dundee.ac.uk.

To find out more about the School of Medicine please visit www.dundee.ac.uk/medicine

The diversity of our staff and students helps to make the University of Dundee a UK university of choice for undergraduate, postgraduate and distance learning. Family friendly policies, staff support networks for BME and LGBT staff, membership of Athena Swan and Stonewall as well a full range of disability services, create an enjoyable and inclusive place to work.