NIHR Pan-London ARC Theme Manager - Theme 3 Data Science, AI and Predictive Analytics

About us:

King’s College London is one of the world’s leading universities and a member of the Russell Group. This role sits within the Institute of Psychiatry, Psychology & Neuroscience, in the Department of Biostatistics & Health Informatics, and is hosted by the NIHR Pan-London Applied Research Collaboration (ARC) – a partnership between King’s College London, Imperial College London, University College London, NHS organisations and local authorities that carries out applied health and social care research to improve outcomes for Londoners, funded by the National Institute for Health and Care Research (NIHR).

About the role:

This is a part-time post (0.4 FTE), fixed term until 30 November 2027, with the possibility of extension subject to funding availability, funded by the NIHR Pan-London Applied Research Collaboration (ARC) and hosted by Guy’s and St Thomas’ NHS Foundation Trust. You will provide coordination, project management and administrative support to Theme 3 of the NIHR Pan-London ARC. This theme is about Data Science, AI and Predictive Analytics for Applied Health Research, led by Professor James Teo (King’s College Hospital) and Dr Thomas Woodcock (Imperial College London).

• Theme 3 delivers three flagship data-science projects running from 2026-2029 - COMPASS (real-time analytics on medication management for people with multiple long-term conditions),
• HAVEN (risk prediction for frail older adults, care-home residents and people experiencing homelessness) and
• FABRIC (a scalable mother-baby linkage method used to tackle inequalities in maternal and infant health)
• from 2028, together with a Horizon-Technology project (ORACULAR) joining from 2028, and three NIHR Career Development Award postdoctoral researchers.

You will act as the key operational link between the Theme Leads, project teams across King’s College London, Imperial College London, UCL and NHS/UKHSA partners, and the NIHR London ARC’s Programme Management Office, Population Impact Clusters and Research Functions, as part of the ARC’s shared pan-London coordinator team.

Day to day, you will maintain the theme’s project plan, Gantt chart, risk register and milestone trackers; organise and service theme meetings; support budget monitoring and reporting; coordinate annual reporting, ResearchFish submissions and NIHR Academy data returns; support research and information-governance compliance; and provide administrative support to the theme’s postdoctoral researchers. This is an excellent opportunity to gain project management experience within a large, multi-institution research programme working at the interface of data science, AI and applied health research.

This is a part time post (2 days per week), and you will be offered a fixed term contract until 30 November 2027, with the possibility of extension.

About you:

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria

1. Educated to degree level, or equivalent relevant experience in project coordination or research administration
2. Experience of coordinating projects or programmes in a university, NHS or research-funding environment
3. Excellent organisational skills, with proven ability to coordinate multiple concurrent workstreams, prioritise and meet deadlines
4. Strong written and verbal communication skills, including drafting minutes, reports and briefing papers for senior audiences
5. Experience of servicing committees or boards: scheduling, agenda setting, minute taking and following up actions
6. Experience of monitoring budgets and milestones and preparing progress or exception reports
7. Proficient in office software collaboration tools (Office 365, Google Workspaces, LLM-based services, project management kanban boards), including maintaining trackers, Gantt charts and action logs
8. Proactive and able to work independently within a part-time role across a multi-institution partnership, with a commitment to equality, diversity and inclusion

Desirable criteria

1. Knowledge of the NIHR, its infrastructure (ARCs, BRCs, HPRUs, HINs) and reporting mechanisms (e.g. ResearchFish, annual reporting)
2. Understanding of research governance, information governance and confidentiality requirements relevant to health data research
3. Experience coordinating implementation research, drawing on evidence-based approaches and implementation science
4. Experience of working across multiple institutions or with NHS, local authority or community partners, including organising events, workshops or stakeholder engagement activities (e.g. with patients and the public)
5. Project management qualification or training (e.g. PRINCE2 Foundation, AgilePM)

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

At King’s, we believe that the diversity of our community and a culture that is welcoming, open, inclusive and collaborative, are great strengths of the university.

The Equality Act of 2010 protects the rights of our students and staff and provides a framework to fulfil our duties to eliminate unlawful discrimination, harassment and victimisation and in addition, to advance equality of opportunity and foster good relations between those who share a protected characteristic and those who do not. At times, this will include balancing rights and beliefs that can feel in tension.

We are committed to free speech and to academic freedom, believing that our foundational purpose as a university, is to create spaces where a wide range of ideas, including ideas that are controversial, can be discussed and debated, and where members of our community can express lawful views without fear of intimidation, harassment or discrimination.

When engaging in the robust exchange of ideas, we ask that our community is mindful of our Dignity at King’s guidance.

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 person specification section of the job description. 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.

Artificial intelligence (AI) is evolving rapidly, and we recognise its growing role in professional work. Applicants may use AI tools to support preparation of their application, for example to research the role or structure written responses. However, applications must reflect the applicant’s own work and experience. AI tools should not be used during interviews or assessment activities unless this has been agreed in advance as a reasonable adjustment. Further guidance on the use of AI in recruitment can be found here.

We reserve the right to close adverts early due to the volume of applications we receive. While the closing date may change, all adverts will close at 23:59 to allow sufficient time for applications to be submitted on that day.

We encourage you to apply at the earliest opportunity to avoid disappointment as once we have closed a vacancy you will be unable to submit your application.

To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages.