Photoplethysmography (PPG) AI Data Scientist in Health (KTP Associate)

City St George’s, University of London (CSGUoL) is the University of business, practice and the professions and brings together the expertise and excellence of City, University of London and St George’s, University of London into one institution.

The combined university is one of the largest suppliers of the health workforce in the capital, as well as one of the largest higher education destinations for London students.

Combining a breadth of disciplines across health, business, law, creativity, communications, science and technology, we are creating a ‘health powerhouse’ for students, researchers, the NHS and partners in uniting a world-leading specialist health university. We are now one of the UK’s largest health educators, where staff and students have access to an expanded team of brilliant academic and professional services colleagues, combined resources and facilities and more interdisciplinary opportunities.

Background

CSGUoL and InfoHealth Ltd are recruiting for a candidate to transform non-invasive continuous blood pressure monitoring by developing personalised AI models and algorithms incorporating Photoplethysmography (PPG) measurements

Working at InfoHealth’s offices in Coulsdon, Surrey, with visits to CSGUoL, the candidate will apply their academic and commercial knowledge to this critical project.

InfoHealth has developed a digital product called NowPatient within which patients can book GP appointments, view medical records, and access NHS services conducted via virtual video consultations. The KTP will support InfoHealth to add to the capabilities within NowPatient, enabling InfoHealth to embed AI and Machine Learning methodologies, optimising current and new products/services.

Responsibilities

The candidate will work with advanced PPG signal processing and PPG Pulse wave Analysis (PWA) and modelling frameworks using ML/AI and develop clinical standards and ethics procedures for validation criteria.

Specifically, the candidate will investigate current development platforms for wearables using optical sensing, collect and curate data, incorporate adaptive AI models, and develop a deep learning architecture.

Person Specification

We are looking for a candidate with an MSc or other Higher Degree in Electrical/Biomedical Engineering, Computer Science or relevant field, with a focus on time series data analysis, algorithm design and implementation. Knowledge of programming (Python) and AI platforms is essential, as is experience of planning and conducting complex experimental research projects.

The ideal candidate will have knowledge of PPG, real-time processing of PPG data, and medical validation standards, as well as experience of developing predictive algorithms for wearables and experience with publicly available databases or medical datasets to validate and compare models.

Additional Information

Closing date: 14th December 2025 at 11:59pm.

To apply and for more information about the post please use the links below.

City St George’s offers a sector-leading salary, pension scheme and benefits including a comprehensive package of staff training and development.

City St George’s, University of London is committed to promoting equality, diversity and inclusion in all its activities, processes, and culture for our whole community, including staff, students and visitors.

We welcome applications regardless of age, caring responsibilities, disability, gender identity, gender reassignment, marital status, nationality, pregnancy, race and ethnic origin, religion and belief, sex, sexual orientation and socio-economic background.

City St George’s operates a guaranteed interview scheme for disabled applicants.

The role is based at InfoHealth’s offices in Coulsdon, Surrey.

Regardless of where colleagues are working, City St George’s, University of London’s premises will be their primary and contractual place of work.

The University of business, practice and the professions.

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