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Lecturer in Data Science (Teaching & Research)

Department
Hull York Medical School
Based at
University of York
Hours of work
Full-time
Contract status
Open
Salary
40,927 - 50,296 a year
Interview Date
12/10/2021
Posted Date
03/09/2021
Apply by
19/09/2021
Job Reference
9803
Documents

Role Description

Department

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.    

Role

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

Skills, Experience & Qualification needed

Essential criteria assessable at shortlisting include:

  • Higher research degree (PhD or MD) in subject relevant to data science (e.g. statistics or computer science), or equivalent experience
  • Appropriate academic professional and teaching qualification or a willingness to complete the Postgraduate Certificate in Academic Practice
  • Specialist knowledge in subject area relating to data science, including machine learning/Artificial Intelligence in the context of health services
  • Highly developed communication skills to engage effectively with a wide-ranging audience, both orally and in writing, using a range of media
  • Evidence of successful teaching planning, design and delivery across a range of settings for different learners
  • Proven ability to contribute to high quality research which is publicly evidenced
  • Experience of using different delivery techniques to enthuse and engage students
  • Evidence of successful planning and teaching design across a range of modules

Interview date: 12 October 2021

For informal enquiries: please contact paul.tiffin@york.ac.uk

The University strives to be diverse and inclusive  – a place where we can ALL be ourselves.

We particularly encourage applications from people who identify as Black, Asian or from a Minority Ethnic background, who are underrepresented at the University. 

We offer family friendly, flexible working arrangements, with forums and inclusive facilities to support our staff. #EqualityatYork

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