Lecturer in Healthcare Management and leadership
Job Description
School of Health Sciences
Location: Highfield Campus
Salary: £44,263 to £56,021 Per annum
Full Time Permanent
Closing Date: Friday 09 August 2024
Interview Date: To be confirmed
Reference: 2801024CF
This exciting post is an opportunity to join the Health Workforce and Systems Research Group in the School of Health Sciences at the University of Southampton to increase our capacity in delivering world leading workforce research and research led teaching in healthcare management and leadership.
The Health Workforce and Systems Research group is a multidisciplinary team including data scientists, economists, health professionals and social scientists whose research activities include high profile studies that inform policy and practice related to safe staffing.
The successful applicant for this balanced role will be expected to engage and lead education activities associated with the MSc Leadership and Management in Healthcare.
You will have expertise in health workforce research relevant to the strategic or operational management of health services and be able to contribute to education that links the work of the research group to core teaching in one or more of the following:
- Health system and workforce planning and design
- Health system leadership at individual, team or organisational level
- Safe staffing and human factors in patient safety
- Decision making and analytics for leadership and management in healthcare.
You should have expertise interest and a track record of research outputs that complement our programme of research around health care professional staffing and, in particular work that contributes to one or more of these three key foci:
- Predicting demand for staff at a micro (unit/service) level and deploying efficiently the health workforce
- Creating healthy work systems that support quality care and job satisfaction.
- The influences of health professionals' and organisational culture
We are particularly interested in candidates with experience in the use of routine data and analysis and modelling based on large datasets including application of mathematical modelling, machine learning / artificial intelligence.
The post is offered on a permanent basis, with a proposed start date of 1st January 2025.
The ideal candidate will be highly motivated and they will meet the following person specifications:
- Have a PhD and a track record of excellent research (preferably at post-doctoral level) in a discipline relevant to the research groups remit, including
- Have experience of knowledge exchange and enterprise with external stakeholders in either the public or private sectors
- Have a creative, long-term research vision for the development, implementation and delivery of successful and impactful research projects aligned to the research group
- Be committed to deliver excellence in education, via evidence-based approaches to teaching in health sciences courses both at undergraduate and post-graduate level.
- Be committed to working within professional and ethical codes of conduct and to providing the highest quality experience and mentorship for postgraduate research students.
An enhanced DBS check is required for this role.
Our strengths as a Group and School include the opportunity for interdisciplinary work, and we encourage and support collaborations with other Schools within the University of Southampton as well as with external partners and stakeholders. For more information about the School and programmes please see: https://www.southampton.ac.uk/about/faculties-schools-departments/school-of-health-sciences.
Initial enquiries should be directed to Peter Griffiths (peter.griffiths@soton.ac.uk)
Alignment to University Impact Themes in current recruitment:
The work of the group is seeking to use techniques and approaches derived from data science and to apply these to solving practical problems in health service delivery, further developing inter-disciplinary collaboration and developing solutions using human-factors engineering (aka ergonomics). Ideally any candidate would expand our capacity in these areas.
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