Lecturer in Health Data Science (Teaching and Scholarship Focused)

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 Health Data Sciences to grow capacity in the development and delivery of teaching in Clinical and Health Data Science.

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. In addition, you will be able to contribute to the management and development of our education materials as well as the evaluation of our programmes enabling us to demonstrate the impact of our teaching. 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 (or equivalent) in 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 Computational Biology and Health, which sits in the wider Division of Informatics, Imaging and Data Sciences. You will join an engaged digital health community at Manchester and plugin to our network across the University in different disciplines allied to our Division, 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/

Interview Date: 28th April 2025

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

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

Our University is positive about flexible working you can find out more here

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 People.Recruitment@manchester.ac.uk.

Any CV’s submitted by a recruitment agency will be considered a gift.

Enquiries about the vacancy, shortlisting and interviews:

Name: Ang Davies

Email: angela.davies@manchester.ac.uk

General enquiries:

Email: People.recruitment@manchester.ac.uk

Technical support:

https://jobseekersupport.jobtrain.co.uk/support/home

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.