About us:
King’s College London is an internationally renowned university delivering exceptional education and world-leading research. The university is dedicated to driving positive, sustainable change in society and to realising our vision of making the world a better place. The Strategic Vision 2029 looks forward to King’s College London’s 200th anniversary in 2029 and sets out ambitious plans in five key areas:
- Educating the next generation of change-makers
- Challenging ideas and driving change through research
- Giving back to society through meaningful service
- Working with our local communities in London
- Fostering global citizens with an international perspective
The Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King’s is a leading centre for mental health and neuroscience research in Europe. Our staff and students work to transform care for people affected by mental health and neurological conditions through world-class research, education, and training, while also serving our communities locally and globally.
The School of Mental Health & Psychological Sciences (MHaPS) is one of three schools under the IoPPN, comprised of the four departments of Psychology, Social, Genetic & Developmental Psychiatry (SGDP), Health Service & Population Research (HSPR), and Biostatistics & Health Informatics (BHI). With over 100 Principal Investigators, our research spans development from childhood to old age, encompassing basic research through to the development and implementation of treatments, services and policy.
The Department of Biostatistics and Health Informatics is internationally recognised for its methodological innovation and application to mental health, neuroscience, and other health domains. We are committed to open science, interdisciplinary research, and translating cutting-edge methods into improved health outcomes.
About the MSc in Applied Statistical Modelling and Health Informatics:
About the role:
Lecturer in Digital Health, Health Informatics and Artificial Intelligence
This is an exciting opportunity to join one of the UK’s leading centres for health data science and methodological innovation. The Department of Biostatistics and Health Informatics (BHI) at King’s College London is internationally recognised for its research excellence at the intersection of data science, artificial intelligence, and mental health. Our work spans methodological development and real-world application, driving improvements in health outcomes and healthcare delivery.
This 50% Education / 50% Research lectureship offers the opportunity to make a distinctive contribution to our teaching programmes while developing a high-quality, independent research portfolio in digital health, artificial intelligence, and health informatics. The postholder will play a key role in our award-winning MSc in Applied Statistical Modelling and Health Informatics (ASMHI), contributing to programme and module leadership, course delivery, and curriculum enhancement. Working collaboratively with an experienced and supportive team, you will help shape the future direction of postgraduate education in this rapidly evolving field.
You will also develop your own research programme, with opportunities to collaborate across King’s—including the AI Institute, the School of Mental Health & Psychological Sciences, and our NHS and industry partners. We particularly welcome candidates whose expertise complements existing departmental strengths in machine learning, multimodal data integration, digital phenotyping, and trial emulation using electronic health records.
This is a full-time post (35 hours per week) offered on an indefinite contract.
Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development, in line with the Concordat to Support the Career Development of Researchers. Further information is available from the Centre for Research Staff Development.
About you:
To be successful in this role, we are looking for candidates to have the following skills and experience:
Essential criteria
- PhD (or equivalent) in a relevant discipline such as health informatics, computer science, data science, biostatistics, or a closely related field.
- Proven ability to design, deliver, and assess high-quality teaching for postgraduate students, in-person and/or online, in areas relevant to digital health, AI, or health informatics.
- Excellent communication skills with the ability to explain complex concepts clearly to students from diverse academic backgrounds.
- Experience of supervising postgraduate research projects.
- Experience of curriculum development and innovation, including creation of inclusive teaching materials and assessment design.
- Strong track record of research in digital health, artificial intelligence, health informatics, or related methodological areas, demonstrated through peer-reviewed publications.
- Evidence of ability to establish an independent research programme, including experience of contributing to competitive funding applications.
Desirable criteria
- Fellowship (or higher) of the Higher Education Academy, or commitment to achieving it within probation.
- Experience of pedagogical research or scholarship in higher education.
- Track record of interdisciplinary collaboration, particularly with clinical, NHS, or industry partners.
- Experience of educational leadership or programme management or demonstrable potential to take on such responsibilities.
- Experience of working with sensitive health data, including governance and ethical considerations.
Downloading a copy of our Job Description
Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process.
Further information:
We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.
To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages.
Interviews are provisionally due to be held in December 2025.
Grade and Salary: £53,947 – £58,426 per annum, including London Weighting Allowance
Job ID: 130665
Close Date: 09-Dec-2025
Contact Person: Dr Ewan Carr
Contact Details: [email protected]
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