Lecturer in Digital Epidemiology (Teaching Focussed)

at  The University of Manchester

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. As part of this you will be able to contribute to new ways of managing 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 Epidemiology, Heath Informatics, Data Science, Biostatistics or related fields, experience with curriculum design and development to a range of students and professionals, and experience in the analysis of complex healthcare problems.
This work is key to the Centre of Health Informatics, which sits in the wider Division of Informatics, Imaging and Data Sciences. You will join an engaged digital health community at Manchester with over 100 in The Centre of Health Informatics, 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. This virtuous circle allow us to continually develop a rich and innovative research and software 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.
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/

Please refer the Job description for details