The Hull York Medical School is a different kind of Medical School. The joint medical school of the Universities of Hull and York has a reputation as one of the UK’s most exciting, contemporary schools. Our innovative curriculum and focus on problem based learning and early and sustained clinical exposure ensures that students on our MB BS programme develop the problem solving, analytical and communication skills and resilience needed to deliver a high standard of care to people with complex needs and from a variety of backgrounds. The School is currently undergoing expansion following a successful bid to increase the number of undergraduate medical student places. We aspire to being a sector leader in equipping our medical and physician associate students to practise in increasingly digital and automated healthcare systems. We intend to link with, and build on, the internationally excellent health services and applied health research at the University of York.
The purpose of the role is to design, deliver and develop teaching and assessment on data science, and related quantitative approaches, for the undergraduate medicine and physician associate courses. In particular, the role will involve helping medical and physician associate students to understand the nature of health data and how it can be harnessed to improve patient diagnosis, care and treatment. This will also include supporting students in understanding some of the limitations and risks associated with automation in healthcare. The post holder will also contribute to such teaching as appropriate for relevant postgraduate programmes offered at Hull York Medical School. It is expected that the role will also involve supervising relevant research projects as part of medical student intercalated degrees and higher degrees.
The post holder will also develop research objectives, projects and proposals and carry out individual or collaborative research projects aligned to the needs of the Hull York Medical School and the related departments within the universities of Hull and York.
Our ethos is to give students the skills and knowledge required to practise effectively as both clinicians and healthcare leaders in an increasingly digital, automated health services, where artificial intelligence approaches are likely to play an increasingly substantial role in patient care. The post holder will be responsible for the development of resources to support the students
Essential criteria assessable at shortlisting include:
Interview date: 12 October 2021
For informal enquiries: please contact firstname.lastname@example.org
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