Lecturer in Digital Health, Health Informatics and Artificial Intelligence

King's College London - Biostatistics & Health Informatics; Greater London; On-site; GBP 53,000 - 59,000; Full time

Job summary

A leading UK university is seeking a Lecturer in Digital Health within its Biostatistics & Health Informatics department. This full-time role involves contributing to both teaching and research in a collaborative environment. The ideal candidate will have a PhD in a relevant field, proven teaching abilities, and a strong record of research. Opportunities to develop collaborations across diverse fields, shaping postgraduate education in health informatics, artificial intelligence, and data science are available. Competitive salary offered.

Qualifications

• Proven ability to teach postgraduate students in digital health or AI.
• Strong track record of research in digital health or related fields.
• Experience with sensitive health data governance.

Responsibilities

• Contribute to teaching programs in MSc in Applied Statistical Modelling.
• Develop own research program and collaborate with partners.
• Enhance curriculum and educational materials.

Skills

Design and deliver high-quality teaching

Excellent communication

Supervising postgraduate research projects

Curriculum development

Research in digital health

Interdisciplinary collaboration

Education

PhD in health informatics, computer science, data science, or related field

Job description

Lecturer in Digital Health, Health Informatics and Artificial Intelligence

Organisation: King`s College London – Biostatistics & Health Informatics; Location: London, UK; Application Deadline: 28 days remaining; Salary: £53,947 to £58,426.

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 lectur­ship 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.

About you:

• 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.
• 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.

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.