Research Fellow in Health Data Sciences

King's College London

Job id: 078265. Salary: £51,174 – £60,221 per annum, including London Weighting Allowance.

Posted: 06 November 2023. Closing date: 20 November 2023.

Business unit: Faculty of Life Sciences & Medicine. Department: Department of Population Health Sciences.

Contact details:Josip Car. [email protected]

Location: Guy’s Campus. Category: Research.

Job Description 

We are inviting applications for a Research Fellow position, concentrating in wrist-worn wearables and smartwatches, digital phenotyping, digital biomarkers development and the seamless integration of electronic health records with user-generated data. Join us to contribute to groundbreaking projects in the realm of health data sciences. 

The post holder will work closely with a team led by the Head of the School & Chair in Population and Digital Health Sciences, Professor Josip Car.

The successful candidate will drive advancements in health data sciences by creating innovative digital health solutions for several conditions/diseases. Responsibilities include designing studies involving wearables to enhance health outcomes. Your research will integrate digital technologies, data sciences, and AI to advance evidence for use of wearables for prediction, diagnostics, and health monitoring.

The role will provide a supportive environment and access to training to continue developing your knowledge and expertise in population health research. The post holder will receive excellent support for career development including time for technical, academic and professional development courses, and personal mentoring. They will develop excellent networks across both Schools and with our partner hospitals.   

This full-time position fixed term contract until January 2026.

Key responsibilities

  • Conduct cutting-edge research in health data sciences focused on wearables, and health apps.
  • Write or assist in writing a research proposal.
  • Supervise and mentor undergraduate, postgraduate, and research students, fostering a supportive learning environment.
  • Collaborate with academic colleagues, industry partners, and other stakeholders, including NHS partners, to advance knowledge and application to deliver impact.
  • Actively participate in departmental and university-wide committees, working groups, events, and Athena SWAN activities, contributing to continuous improvement and promoting equal opportunities.
  • Maintain up-to-date knowledge of developments in digital health, health wearables, and health applications, incorporating them into research, and outreach activities.
  • Publish regularly in peer-reviewed journals, present at conferences, and exhibit work at appropriate events to disseminate research findings.
  • Develop, disseminate, and maintain tools and research software, fostering a culture of open-source collaboration.
  • Perform any other duties commensurate with the grade and purpose of the position, as required.

  The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.

Skills, knowledge, and experience

Essential criteria

  • PhD in a relevant field, such as digital health, engineering, computer science, or population health, health services research.
  • Advanced knowledge of smartwatch/wearables and digital phenotyping/digital biomarkers development and combining electronic health records and person generated data.
  • Evidence of collaborative working in the field of digital health, including a track record of high-quality, peer-reviewed publications.
  • Knowledge of current trends, technologies, and best practices in digital health, health wearables, and health apps.
  • Experience in supervising and mentoring students in research projects and activities.
  • Committed to equality, diversity, and inclusion, actively addressing areas of potential bias.
  • Desirable criteria

  • Experience in developing research proposals for submission to funding bodies
  • Strong analytical and computational skills in health data science.
  • Experience in software development, testing, and validation.
  •   Candidates are strongly encouraged to specifically address the essential criteria outlined in the Person Specification in their covering letter.

    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.

    The School of Life Course & Population Sciences is one of five 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.

    More information:

    View or Apply
    To help us track our recruitment effort, please indicate in your cover/motivation letter where ( you saw this job posting.

    Job Location