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King's College London is seeking a Senior Research Scientist to lead the Digital Health and AI Platform on the EMBRACE study. The role involves driving AI-driven platforms in digital health research and managing cross-functional teams. Candidates should have a PhD, leadership experience, and expertise in digital health and AI technologies. This position offers a chance to significantly impact the future of healthcare.
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About Us
King's College London is an internationally renowned university delivering exceptional education and world-leading research. We are dedicated to driving positive and sustainable change in society and realising our vision of making the world a better place. We are delighted to announce exciting new opportunities to join our community.
EMBRACE is a visionary, multicomponent International research programme, the first of its kind in the world, supported by Inkfish with £35M core funds over six years, starting in April 2025. It is a global study of 60,000 participants, including 20,000 mothers, 20,000 infants and up to 20,000 partners. It brings together world-leading clinician scientists across six distinguished Healthcare organisations, world-leading AI & technology companies, together with premier biotech companies, with the overarching aim to fast-track major scientific breakthroughs, revolutionise maternal and early childhood health through precision-personalised interventions, powered by a groundbreaking symbiosis of cutting-edge AI combined with human support.
About the role
The post of Senior Research Scientist in Digital Health and AI Platform Lead is a senior role on the EMBRACE study led by Professor Josip Car. This is a research post with both research and operational responsibilities, including delivering against research objectives, providing technical leadership with strategic oversight, vendor management, and ensuring alignment between the digital platform and research objectives. You will drive the design, development, and implementation of scalable AI-driven platforms that support translational research, clinical decision support, and patient-centric digital health solutions. You will work cross-functionally with data scientists, clinical researchers, software engineers, product managers, and external partners to conceptualise and deliver novel AI technologies. This role demands both deep scientific understanding and strong technical leadership, with the ability to navigate complex datasets, ensure model robustness and compliance, and align digital innovation with unmet clinical and healthcare needs.
This is a high-impact position offering the opportunity to shape the future of digital health and precision medicine through responsible AI, translational insights, and scalable digital infrastructure.
This is a full-time post (35 hours per week), and you will be offered a fixed term contract until 31st July 2029.
About You
To be successful in this role, we are looking for candidates to have the following skills and experience:
Essential criteria
Desirable criteria
Downloading a copy of our Job Description
Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process.
Further Information
Interested applicants are strongly advised to contact Prof Josip Car for an informal discussion about the role.
We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.
We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.
As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities.
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.
To find out how our managers will review your application, please take a look at our ' How we Recruit ' pages.
This post is subject to Disclosure and Barring Service clearance.