National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Lecturer/Reader in Digital Health

The University of Manchester
Manchester
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Lecturer in Data Science with Astrophysics, Cosmology and/or Gravitation, Portsmouth, UK

Senior Software Developer

senior bioinformatics engineer pipeline automation & tool development

Senior Python Developer

senior bioinformatics engineer pipeline automation & tool development

senior bioinformatics engineer pipeline automation & tool development


The Division of Informatics, Imaging and Data Sciences in the School of Health Sciences wishes to recruit an enthusiastic and innovative individual to the role of Senior Lecturer/Reader (depending on experience) in Digital Health to grow capacity in health informatics research and delivery of teaching in this area.

To apply for this position, you should have a PhD (or equivalent) in Epidemiology, Health Informatics, Health Data Science, Biostatistics, Digital Health or related fields.

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 allows 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 note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies

Candidates should provide a full academic CV, to which they should append:

  1. a two-page research statement outlining their research record and future plans;
  2. a two-page teaching statement outlining their teaching experience, approach and philosophy. This should also include descriptions of up to three dissertation projects (BSc, MSc) that could be offered to students.
  3. a diversity statement (1-2 paragraphs) that describes their involvement with activities relating to equality, diversity, inclusivity and accessibility.

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:

Manager: Professor Georgina Moulton

Email:

General enquiries:

Email:

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.


National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.