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

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.

• Investigate current development platforms for wearables using optical sensing.
• Collect and curate data for model development and validation.
• Incorporate adaptive AI models and develop a deep learning architecture for PPG/PWA applications.
• Apply academic and commercial knowledge to develop non-invasive continuous blood pressure monitoring through personalized AI models and algorithms incorporating Photoplethysmography (PPG) measurements.

• 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.
• Programming knowledge (Python) and AI platforms; experience planning and conducting complex experimental research projects.
• Knowledge of PPG, real-time processing of PPG data, and medical validation standards.
• Experience developing predictive algorithms for wearables and working with publicly available databases or medical datasets to validate and compare models.

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 and a major higher education destination for London students. It combines disciplines across health, business, law, creativity, communications, science and technology to create a health-focused environment with extensive interdisciplinary opportunities.

CSGUoL and InfoHealth Ltd are recruiting a candidate to transform non-invasive continuous blood pressure monitoring by developing personalised AI models and algorithms incorporating 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. 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 premises will be the primary place of work, with the role based at InfoHealth\'s offices in Coulsdon, Surrey. Regardless of where colleagues are working, City St George\'s premises will be their primary and contractual place of work.

City St George\'s is committed to promoting equality, diversity and inclusion in all activities, processes, and culture for staff, students and visitors. Applications are welcome 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.