Research Assistant In Human Factors

Location: John Radcliffe Hospital Contract type: Fixed term until 31st December 2026 Hours: Part-time, 0.5FTE About the role The Nuffield Department of Surgical Science is seeking a qualified Research Assistant to join the IDEAL Collaboration research group led by Professor Peter McCulloch in the Nuffield Department of Surgical Sciences. The ASSESS-DHT programme is intended to provide guidance on the evaluation methods needed for assessing the performance and safety of digital health technologies within the EU regulatory system. The scope of the project is broad, covering telehealth, health apps, in-vitro diagnostics and artificial intelligence-based systems. Current regulations do not adequately address the evaluation needs of these new technologies and the project aims to provide comprehensive guidance on appropriate methodology. The task of the IDEAL Collaboration group is central to the project. We are being asked to develop a life-cycle-based evaluation guideline for appropriate evaluation for different life-cycle stages, and to design variants of this for devices which need to be fast tracked and others which need a more holistic approach. About you We are therefore seeking appropriately qualified candidates (first degree in a discipline relevant to the field of work) who have an interest or background in DHTs in healthcare, and who are familiar with standard clinical evaluation and critical appraisal methods. The task will require considerable interaction and group work with a heterogeneous group of experts, so good “people skills” and familiarity with qualitative research and with consensus methods such as Delphi will be advantageous. Clinical or research experience with electronic medical devices, computer or app-based devices or artificial intelligence in healthcare will also be useful. You will work with the project leads for Oxford University (Professor McCulloch and Dr Vasey) and with a more senior researcher who will provide guidance and support, and an overall structure for your work within the team. This part-time post is available immediately and is fixed-term until 31st December 2026 in the first instance. Application Process If you would like to discuss this role please contact Professor Peter McCulloch via peter.mcculloch@nds.ox.ac.uk Applications for this vacancy are to be made online. You will be required to upload a supporting statement, setting out how you meet the selection criteria, curriculum vitae and the names and contact details of two referees as part of your online application. Please quote reference NDSA927 on all correspondence. Only applications received before noon Wednesday 5th June 2024 can be considered. Interviews will be held on Wednesday 19th June 2024. Committed to equality and valuing diversity