Job opportunity: NIHR green and blue health interventions

There is a new opportunity for a research statistician with big data analysis skills to work on the NIHR funded green and blue health interventions study (the ‘GBS study’). The project is led by SAIL at Swansea University, and ECEHH, Cardiff University and the Global Institute of Health in Barcelona are collaborators. The post will be based in Swansea.

You will have the opportunity to work on a nationally funded project investigating the impact of green and blue spaces; parks and beaches, on the mental health and wellbeing of people in Wales.


Full details can be found at

The team are looking for a research statistician with big data analysis skills who will work with the collaborators to create and analyse a large scale retrospective natural experiment. This will include day-to-day responsibility for statistical work on the GBS study, including advising on and performing statistical analyses, undertaking methodological research relevant to eHealth data, and contributing to the centre’s programme of statistical training, post-graduate teaching and research student supervision.

You will need to have a good degree (or equivalent) in a relevant subject (e.g. computing, IT, operations research) with a high level of general computer literacy and demonstrable experience of complex SQL query construction, relational databases and data analysis, to interrogate complex and large dataset. A postgraduate qualification, experience of writing papers which are subject to peer review and an advanced understanding of statistical analysis, Geographic Information Systems (GIS), spatial analyses and techniques or other related methods would be desirable.

Informal enquiries may be made to Dr Sarah Rodgers at Phone: +44 (0)1792 602308 or Mr Ashley Akbari at Phone: +44 (0)1792 513492

Closing Date: 11pm on 13th November 2017

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.

%d bloggers like this: