The University of Edinburgh - Centre for Medical Informatics: Research Fellow

Location: Edinburgh, UK
Job Type: Full-Time
Employer: The University of Edinburgh
Based in The University of Edinburgh's Usher Institute of Population Health Sciences and Informatics, this post offers an exciting opportunity to work with an established research group to contribute to an NIHR funded Programme to evaluate the Optimisation of ePrescribing systems in English hospitals.

The Programme is seeking a dynamic research fellow to conduct and write up literature reviews in the domain of ePrescribing, to design detailed high quality research studies in order to effectively manage data collection across multiple ePrescribing research studies, to conduct a series of interviews, focus groups, expert round-table discussions and observations across a number of English NHS sites, and to analyse the qualitative and quantitative data gathered and to synthesize results across multiple ePrescribing research studies.

Applicants must have at least a PhD in a relevant area, a postgraduate qualification in a broad area of eHealth or Digital Health, extensive experience in qualitative data collection and analysis, experience in developing and applying theoretical models and techniques to Digital Health or eHealth initiatives, and experience in developing public engagement activities to maximise the impact of the Programme's findings.

The Programme is a collaboration between The University of Edinburgh, The University of Birmingham, University Hospitals Birmingham NHS Foundation Trust, The University of Nottingham, The University of Durham and Harvard University. Regular travel and overnight stays to cities in England are required.

Apply for this job

Post your job offer now to start hiring the best digital health talent! For further information, please contact us.

Most Popular Now

AI Distinguishes Glioblastoma from Look-…

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments. The...

Overcoming the AI Applicability Crisis a…

Opinion Article by Harry Lykostratis, Chief Executive, Open Medical. The government’s 10 Year Health Plan makes a lot of the potential of AI-software to support clinical decision making, improve productivity, and...

AI Body Composition Measurements can Pre…

Adiposity - or the accumulation of excess fat in the body - is a known driver of cardiometabolic diseases such as heart disease, stroke, type 2 diabetes, and kidney disease...