Lecturer in Data Science for Healthcare

University of Reading

Reading, UK

Application Deadline
£45,585 to £56,021

The Department of Computer Science is seeking to appoint an outstanding Lecturer in Data Science for Healthcare to join the team at Reading as one of four new appointments to provide high quality teaching and research. More details about the role and working at Reading can be found in the candidate brochure below. Those appointed will have great opportunities for working with key strategic partners to further their research and to apply this to healthcare-related problems. We are excited for you to join us in a department that is pushing the boundaries of knowledge, encouraging innovation and helping to shape the future.

Essential for this role is that you:

  • Have a PhD in computer science or a related field, and a strong reputation for rigorous international research in Clinical Data Science and analysis.
  • Have well developed knowledge of the fundamentals of computer science as suitable for teaching across the curriculum at UG/PG level.
  • Have excellent research publications of international standing on Data Science.
  • Have a strong commitment to student support and the enhancement of the learning experience.
  • Have the ability to work collaboratively alongside a diverse range of colleagues.
  • Have a flexible and adaptable approach to your work and a readiness to lead and participate in teams.
  • Have the ability to develop your own materials and approaches to teaching, and the skills to analyse students’ learning experiences.

Closing date: shortlisting and interviews to be held on an ongoing basis the advert will close once we have appointed to the vacancy as we are keen to make an appointment quickly so that the appointed candidate is able to commence employment by September 2024, therefore please do not delay in applying for this position

Selection process: Applications will be shortlisted, there will then be a short telephone interview (Stage 1) to confirm key facts and to provide candidates with more details about the package that is being offered. Those who progress past Stage 1 will then be invited to a formal Panel interview (Stage 2) which will be organised online via Microsoft Teams and will be Chaired by the Head of School.

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