The Division of Informatics, Imaging and Data Sciences in the School of Health Sciences wishes to recruit an enthusiastic and innovative individual to a teaching focussed role of Lecturer in Digital Epidemiology to grow capacity in the development and delivery of teaching in Health Data Science and Health Informatics.
This is a fantastic opportunity for the individual to join a growing education team that is embedded in a strong research department, thus creating an environment where research can be integrated into up-to-date and relevant training whilst also developing innovative approaches to delivery of the educational offerings. This role will ensure how this creates a positive student experience across our programmes, and as part of this role you will be able to contribute to new ways to be able to do this. In addition, you will be able to contribute to the management of our education materials as well as short projects that grow our capability to train others in the field. You will also be expected to contribute to other teaching, supervision and professional training as well as undertake any associated management and administrative duties.
To apply for this position, you should have a PhD in a health informatics related subject, for example, Epidemiology, Health Data Science, have some experience with curriculum design and teaching delivery to a range of interdisciplinary students and professionals, and experience in the analysis of complex healthcare problems. Of particular interest would around the appraisal and evaluation of healthcare technologies and data science approaches.
This work is key to the Division of Informatics, Imaging and Data Sciences. You will join an engaged digital health community at Manchester with over 100 across the division, and plugin to our network of over 400 who work across the University in different disciplines allied to the Centre including The Pankhurst Institute, Biomedical Research Centre (BRC) and Applied Research Collaboration (ARC). What makes us truly unique at Manchester is our close coupling between researchers, software engineers, clinicians, methodologists and end users/patients, drawing on strength from each to solve real-world problems, and how this feeds directly into our teaching. This virtuous circle allow us to continually develop a rich and innovative research, software and education agenda, and it is this inter-disciplinary and team approach that is a distinctive feature when working at Manchester. In the Division of Informatics, Imaging and Data Sciences where this position is hosted, we also deliver the UKs first and largest MSc in Health Data Science as well as a joint MSc in Health Informatics in partnership with UCL, and a PGCert in Clinical Data Science. We also have a thriving postgraduate research international community.
What you will get in return:
- Fantastic market leading Pension scheme
- Excellent employee health and wellbeing services including an Employee Assistance Programme
- Exceptional starting annual leave entitlement, plus bank holidays
- Additional paid closure over the Christmas period
- Local and national discounts at a range of major retailers
We have a strong reputation of providing a caring inter-disciplinary team environment with wide access to UK and international networks of expertise. We have an ethos of career development and are proud to provide a supportive and flexible working environment for staff from different backgrounds and with different identities. We promote equality and diversity, including the Athena SWAN charter for gender equality in higher education. The School of Health Sciences holds a Silver Award which recognises their good practice in relation to gender; including flexible working arrangements, family-friendly policies, and support to allow staff achieve a good work-life balance. An appointment will always be made on merit. For further information, please visit:https://www.bmh.manchester.ac.uk/about/equality/
Our University is positive about flexible working you can find out morehere
Hybrid working arrangements may be considered.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Any recruitment enquiries from recruitment agencies should be directed to .
Any CV’s submitted by a recruitment agency will be considered a gift.
Enquiries about the vacancy, shortlisting and interviews:
Name: Georgina Moulton
Email:
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This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.
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