Research Associate in EHR Phenotyping

About Us

King’s College London is one of the top 40 universities in the world (QS World University Rankings, 2024) and among the oldest in England. The Department of Population Health Sciences, based at Guy’s campus, combines over 160 experts with patients and the public to better understand population health, primary care, social sciences and policy, epidemiology, statistics, and health economics. Our academics use large data sets to evaluate therapies, models of care, and highlight inequalities in access to treatment. We have transformed stroke rehabilitation, linked antidepressant use to weight gain, and uncovered the connections between urban deprivation and long-term health problems. 

The School of Life Course & Population Sciences is one of six Schools that make up the Faculty of Life Sciences & Medicine at King’s College London. The School unites over 400 experts in women and children’s health, nutritional sciences, population health and the molecular genetics of human disease. Our research links the causes of common health problems to life’s landmark stages, treating life, disease and healthcare as a continuum. We are interdisciplinary by nature and this innovative approach works: 91 per cent of our research submitted to the Subjects Allied to Medicine (Pharmacy, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments.

Digital health group works on a range of applications of AI to health research and practice, from personalised app and digital interventions, via evidence synthesis, to software architectures for clinical decision support and patient phenotyping.

About the role

The postholder will contribute to the development, validation, and dissemination of electronic health record (EHR) phenotypes that enable high-quality, reproducible research across the King’s Health Partners and Health Data Research UK (HDR UK) networks. Working within the Digital Health Group, the Research Associate will lead on designing computable phenotypes using the Phenoflow technology and associated workflow standards, ensuring their scalability and portability across multiple datasets and trusted research environments. The role will combine technical and methodological work—spanning data engineering, semantic modelling, and validation studies—with active collaboration across clinical, data science, and informatics teams. The postholder will play a key role in strengthening the reproducibility, transparency, and interoperability of health data research at King’s, contributing to publications, open-source tools, and training resources that advance national and international best practice in EHR phenotyping.

The group has several national and international collaborations around phenotyping, and the postholder is expected to play a key part in these.

The postholder will also work towards obtaining funding for a personal post-doc fellowship.

This is a full time post (35 hours per week), and you will be offered an a fixed term contract until 31st December 2027.

Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the  Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the  Centre for Research Staff Development for more information.

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