Photoplethysmography (PPG) AI Data Scientist in Health (KTP Associate) - REDEPLOYEE ONLY

City St George's, University of London; City Of London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A renowned educational institution is seeking a candidate to develop personalized AI models for continuous blood pressure monitoring. The role involves working with advanced signal processing and machine learning methodologies. Candidates should possess an MSc in Electrical/Biomedical Engineering or Computer Science and have programming knowledge in Python. This position is connected to a critical project at InfoHealth’s office, offering competitive salary and benefits.

Benefits

Comprehensive training and development package

Pension scheme

Competitive salary

Qualifications

• Focus on time series data analysis, algorithm design, and implementation.
• Experience planning and conducting complex experimental research projects.
• Knowledge of medical validation standards.

Responsibilities

• Work with advanced PPG signal processing and modelling frameworks using ML/AI.
• Investigate development platforms for wearables using optical sensing.
• Develop clinical standards and ethics procedures for validation criteria.

Skills

Programming (Python)

Data analysis

Machine Learning

PPG knowledge

Education

MSc or higher in Electrical/Biomedical Engineering or Computer Science

Job description

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

Please note: This role is only open to redeployees at City St George's. Applications from individuals who are not redeployees will not be considered at this time.

To apply, please email your CV and cover letter to [e-mail] with the job title and number, demonstrating how you meet the essential criteria outlined in the person specification.

Closing date: 19th October 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.