King's College London

About Us

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

The Department of Women and Children’s Health is a lively and supportive environment known for its research from discovery science to implementation and policy, and its commitment to interdisciplinary work. Researchers benefit from regular seminars and broader collaborations across the broader School of Life Course and Population Sciences, making it an ideal setting for those looking to engage more broadly in population health research.

About the role

We wish to appoint a Research Fellow who will be a member of CHILDs group at the School of Life Course and Population Sciences. The successful candidate will be the lead analyst for an ARC South London study on multi-morbidity in children using CPRD data.

The ARC South London Children’s and Young person theme is important as many children in south London experience high levels of poor health, and unequal health and care outcomes. We particularly need to improve care for children with disabilities, complex needs and who face a range of challenges in their lives. This role involves using CPRD data to describe how common multi morbidity is in children and young people, how this has changed over time and how these diagnoses tend to cluster together. This information will then be used to help inform targeting future prevention activities and any change to delivery of health services.

Experience with large datasets and excellent communications skills will be essential for this role.

This role will involve developing and applying analysis plans using a variety of advanced methods with the support of project supervisors.

The postholder will have completed a PhD in a relevant discipline and have expertise in quantitative research methods.  They will be someone who thrives in a highly collaborative and interdisciplinary environment, but is able to work independently, solve problems and deliver research to tight deadlines. The role will involve collaboration with experienced researchers across medical statistics, epidemiology, informatics, social science and integration into the broader CHILDs team.

This is an outstanding opportunity to develop a research career through high quality publications, contributing to research proposals and taking advantage of developmental opportunities within the department and KCL.

This is a full time post (35 hours per week) for 6 months from 1/10/2025-31/3/2026.

Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information.

About You

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

Essential criteria

1. PhD qualified in relevant subject area
2. Experience working with large datasets e.g. CPRD or similar
3. Experience with relevant statistical software (STATA or R)
4. Research experience in Public Health/Epidemiology/Informatics/ Statistics
5. Excellent written and verbal communication skills
6. Ability to work in a multidisciplinary team and independently
7. Evidence of writing high quality papers for peer review publication or reports and presenting research at meetings or conferences
8. Committed to equality, diversity and inclusion, actively addressing areas of potential bias

Desirable criteria

1. Experience of advanced statistical and/or machine learning methods, such as longitudinal analysis methods, latent variables models, clustering algorithms, missing data and clinical trial analysis
2. Strong publication record
3. Experience in women and children’s health research

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

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.

Interviews are due to be held on 16th September 2025.