LENS Research Assistant in Collaborative Data Analysis - INTERNAL ONLY

The project will address this implementation gap by co-designing a national, integrated CDA implementation toolkit for applied health and social care research. The toolkit will include an implementation framework, methodological decision-support tool, training and facilitation resources, and an accessible digital platform. The project will work closely with researchers, methodological specialists, PPIE professionals and people with lived experience throughout its development. About the role: This is a part time post (18.75 hours per week), and you will be offered a fixed term contract until 30/04/2028. Research staff at King's are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for for more information., 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 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. We welcome your thoughts on how organisations can create an inclusive environment, including one which supports free speech and the exchange of a wide range of ideas. To find out how our managers will review your application, please take a look at our ' pages.

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

• MSc in relevant subject area
• Strong knowledge and practical experience of qualitative research methods, including qualitative data analysis.
• Experience of conducting evidence synthesis, systematic/scoping reviews, methodological reviews, or other structured approaches to reviewing research literature.
• Excellent qualitative analytic and synthesis skills, including the ability to integrate information from different forms of evidence and identify patterns, concepts and methodological implications.
• Strong interpersonal skills and the ability to develop respectful and effective working relationships with people from different professional, disciplinary and experiential backgrounds.
• Excellent organisational skills, with the ability to manage multiple activities, work independently, meet deadlines and maintain accurate research documentation.
• Knowledge or experience of collaborative data analysis or participatory approaches to qualitative data analysis.
• Experience of working sensitively with people or communities who may be underserved by, or marginalised within, conventional research processes.
Desirable criteria
• Knowledge of a range of qualitative methodologies and their underlying epistemological or theoretical assumptions.
  
  The post will be based at King's College London within the QUAHRC and the NIHR Research Support Service.
The successful candidate will join a multidisciplinary team delivering an NIHR-funded methodology project focused on Collaborative Data Analysis (CDA) in applied health and social care research. Collaborative Data Analysis brings multiple perspectives into the interpretation of research data, including those of people with lived experience. While CDA has considerable potential to improve the relevance, inclusivity and usefulness of qualitative research, existing approaches are dispersed across methodological and participatory traditions and there is limited practical guidance to help research teams implement CDA well., 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.

Grade and Salary : £39,755 - £44,685 pro rata per annum, including London Weighting Allowance Job ID : 161445