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 six Departments.

About the role

The primary purpose of this post is to lead the scientific and operational delivery of two NIHR-funded health research programmes:

1. Digital multi-component intervention to IMPROVE the care of older people living with Diabetes and chronic Kidney Disease: a type 2 hybrid effectiveness-implementation cluster randomised trial in primary care
2. Digitally Integrated Care Pathways for Multiple-Long-Term-Conditions Management in Primary Care, Sri Lanka.

The postholder will be responsible for full‑cycle project management across multiple work packages, coordinating multidisciplinary teams in the UK and Sri Lanka, managing deliverables against funder milestones, and proactively securing additional grant funding.

This postholder will lead the scientific and operational delivery of large-scale population health research focused on multiple long-term conditions across diverse healthcare settings, with demonstrable experience of adapting research methods to diverse resource and data environments.

Drawing on advanced and applied expertise in pharmacoepidemiology and medical statistics, the postholder is expected to have a proven track record of independently conducting target trial emulation studies, pharmacovigilance analyses, and data‑driven clinical trials.

The postholder will also take full ownership of project management across the entire research cycle: from protocol development and regulatory approvals, through to field coordination in the UK and LMICs, data analysis, and dissemination. This includes managing multidisciplinary and cross‑site teams, coordinating with primary care networks and LMIC partners, and proactively identifying and mitigating operational risks without regular supervision.

Additional responsibilities include leading peer‑reviewed publications (as first or senior author), supporting grant development and reporting (including NIHR and other major funders), supervising PhD students and early‑career researchers in quantitative methods, and actively contributing to capacity building in global health data science in both settings. The postholder will translate evidence into sustainable, equitable health system improvements while promoting equality, diversity, and inclusion, and mitigating research biases.

The role sits within a team that routinely uses large‑scale primary care electronic records, health services data, and public health research platforms including CPRD. A demonstrated ability to work across the full analytic pipeline—from raw EHR extraction to applied pharmacoepidemiologic inference—is essential, as is substantial experience in integrating pharmacovigilance and trial emulation findings into intervention optimisation for multiple long‑term conditions.

Whilst working within the framework agreed with the post holder’s line manager, the post holder is expected to manage their own workload with minimal supervision, anticipate and respond to shifting and competing demands.

This is a full-time post (35 hours per week), and you will be offered a fixed term contract for 2 years.

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 in Epidemiology
2. Demonstrated ability to lead qualitative and quantitative workstreams in both UK and low- or middle-income country (LMIC) settings, including adapting study designs and analytic methods to diverse resource and data environments
3. Proven track record of independently conducting target trial emulation, pharmacovigilance analyses, and data-driven clinical trials using EHR, evidenced by extensive peer-reviewed publications as first and senior authors
4. Extensive practical experience with EHR data extraction, record linkage, cleaning, processing, and analyses using R or Python
5. Full lifecycle management of research programmes, including coordinating multidisciplinary teams across countries (UK and LMIC), meeting funder milestones, and mitigating operational risks without regular supervision
6. Demonstrable contribution to successful funding applications (e.g., NIHR, MRC, Wellcome)
7. Evidence of building research capacity in LMIC settings

Desirable criteria

1. Familiarity with coordinating multidisciplinary teams from low  and middle income countries (LMICs, particularly in Sri Lanka) and generate multidisciplinary outputs spanning clinical, data science, and implementation science
2. Substantial expertise in clinical epidemiology and pharmacoepidemiology studies applied to vulnerable populations (e.g. pregnant women or older adults) and multiple long‑term conditions (e.g. cardio‑renal‑metabolic syndrome) in real‑world primary care settings
3. Evidence of supervising PhD students 
4. Experience in conducting systematic reviews or meta-analyses

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.