AI & Wellbeing Research Lead (Fixed term 36 months)

Please note, the base location for this role is in Norwich, UK.
We are seeking a highly-motivated and tenacious individual to drive an innovative Knowledge Transfer Partnership project with Integrated Care 24 (IC24) – a forward-thinking social enterprise delivering high-quality, integrated urgent care services, such as GP and dental out-of-hours services and NHS 111 calls.
The AI and Wellbeing Research Lead will take a pivotal role in designing, testing, implementing and embedding a bespoke stress identification and intervention system (SIIS), to help reduce workplace stress in call-handlers working in urgent care settings. The SIIS will blend psychological research with advanced innovative technologies, utilising machine learning and AI models/tools to predict workplace stressors and monitor employee well-being. The project will also facilitate the development of IC24\’s research capacity and capability.
The Role
Supported by a comprehensive project plan and academic experts at Leeds Beckett University, you will work with the team at IC24 to undertake the following list of tasks:
• Analysis of business and technical requirements.
• Scope, collate, review and report on existing and relevant data/literature in relation to worker stress and factors contributing to worker stress.
• Stress identification through data collection, synthesis and reporting.
• Identifying existing and/or new technology-based data sources to be used as stress indicators for machine learning modelling.
• Validation of AI and machine learning models, encompassing data visualisation and analytics.
• Design, develop, test, embed and evaluate digital tool.
• Development of tools, frameworks, processes/procedures and training materials.
The Company
IC24 has been at the forefront of urgent care since the 1990s, delivering high-quality integrated urgent care (IUC) services to over 6 million patients, annually, including GP and dental-led out-of-hours services, NHS 111 call answering, clinical assessment services (CAS), and face-to-face support services.
The business has grown from a small group of GP co-operatives to a social enterprise, employing a team of over 1,000 professionals and offering urgent care services across Kent, Sussex, Essex, Norfolk and Gloucestershire. As a not-for-profit organisation, any surplus IC24 make is reinvested straight back into its people and patients, rather than being distributed to shareholders.
The role will be based at IC24\’s offices in Norwich.
The Person
This is a unique role, spanning AI/Machine Learning and health psychology, as such applicants need to be able to demonstrate knowledge, skills and experience in both areas. Candidates should possess a Master\’s degree in Computing, Software Development, Data Science or similar, with an active interest in occupational health psychology, OR , a Master\’s degree in (Occupational) Health Psychology, Human Factors, Organisational/Occupational Psychology or Public Health, with a high level of computer literacy and applied knowledge of machine learning and AI.
The role will also require excellent project management skills, with the ability to lead and drive objectives through strong interpersonal skills and effective stakeholder engagement. Robust knowledge and experience of psychology-based research methods is also an essential requirement.
You will work alongside a forward-thinking team comprising colleagues from IC24 and academics from Leeds Beckett University to drive and deliver a 36-month project, through the acclaimed Knowledge Transfer Partnership (KTP) programme. KTP is an invaluable way to fast-track your career and establish yourself as an industry leader of tomorrow. The scheme provides excellent training opportunities as well as a substantial budget to support your professional development. Leeds Beckett University also offer all of our KTP project leaders the opportunity to study for a fully-funded higher research degree, so if you want to add to your educational profile, this would be the perfect opportunity.
To arrange an informal discussion about this post, please email: Jo Griffiths ( ) or Laura Forester-Green ( )
Closing date: Monday 16th June 2025 (23:59)
Interviews will be held in two stages:
First Interview – Thursday 17th or Friday 18th July 2025
Final Interview – Thursday 24th July 2025
To apply for this role, please select \’Apply online\’ below and complete the short application form. Please also attach an update to CV and a covering letter of no more than two sides of A4 paper outlining how your education, skills and experience make you suitable for this role – where possible please address the specific requirements of the role as per the Employee Specification and outline your own suitability with relevant examples.
We ask you not to use an AI assistant model such as Chat GPT to generate your CV or cover letter.
We welcome applications from all individuals and particularly from black and minority ethnic candidates as members of these groups are currently under-represented at this level of post. All appointments will be based on merit. #J-18808-Ljbffr