The researcher for this post will be responsible for a variety of research activities across a portfolio of UK and EU projects. These tasks comprehend but not exclusive of: provide administrative support for a wide variety of research-related activities, conduct data collection, develop new interactive tools, qualitative analysis, quantitative analysis under the supervision of the Principal Investigatorю
The successful candidate must have a doctoral degree in a relevant discipline (although individuals who have almost completed a doctoral degree may be appointed), such as epidemiology, population health, computational biology, statistics, computer science or a similarly quantitative discipline. Consideration will also be given to individuals who do not hold a doctoral degree but have required skills based on a number of years’ experience in specified/relevant fields; particularly in statistics or data processing. Post holder will have authority over some aspects of project work and must be capable of providing academic judgement, offering original and creative thoughts and be able to interpret and analyse results. Knowledge of a statistical programming language (preferably R) and SQL. The post holder must have experience of, or demonstrate an understanding of the peer review literature, high-impact peer-reviewed journals, book chapters, and reviews, present papers at conferences, and lead seminars to disseminate research findings
Research Fellow/Epidemiologist School of Biosciences & Medicine Location: Guildford Salary: £31,604 to £34,520 per annum Fixed Term Post Type: Full Time Advert Placed: Wednesday 01 August 2018 Closing Date: Sunday 19 August 2018 Interview Date: Tuesday 28 August 2018 Reference: 057818 An exciting opportunity for a Research Fellow in Epidemiology and/or statistics has become available in the Clinical Informatics and Health Outcomes research team within the Department of Clinical & Experimental Medicine at the University of Surrey. The research team has been involved in a wide range of projects over the last 15 years, focusing on how to measure quality and health outcomes from routine data, quality improvement and technology trials, integrating the use of the computer into the clinical consultation, and the surveillance of infectious diseases using routine data. The team is looking for an enthusiastic candidate to provide high quality research expertise within the multidisciplinary research team, thereby contributing to the delivery of studies within the theme. The researcher will join the Clinical Informatics and Health Outcomes Research group ( https://clininf.eu ) in the Department of Clinical & Experimental Medicine ( www.surrey.ac.uk/clinical-and-experimental-medicine ) to extend the research team’s capacity and capability. The researcher for this post will be responsible for a variety of research activities across a portfolio of UK and EU projects. These tasks comprehend but not exclusive of: provide administrative support for a wide variety of research-related activities, conduct data collection, develop new interactive tools, qualitative analysis, quantitative analysis under the supervision of the Principal Investigator, Prof Simon de Lusignan and the Senior Project Manager, Dr Filipa Ferreira. This post will be undertaken in a vibrant, inter-disciplinary research environment with a strong international reputation. The post is available immediately and is offered on fixed term contract. In addition to salary you will receive a generous annual leave entitlement and excellent development opportunities. Benefits package includes pension and childcare assistance. For an informal discussion about the post, please contact Professor Simon de Lusignan via email at: firstname.lastname@example.org , or Dr Filipa Ferreira via email at: email@example.com Details about the Clinical Informatics and Health Outcomes Research Group can be found at: https://clininf.eu or and further information about the Faculty can be found at https://www.surrey.ac.uk/section-clinical-medicine-ageing/research .
Please click here, if the Job didn't load correctly.
Please wait. You are being redirected to the Job in 3 seconds.