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"Senior Lecturer or Reader in Epidemiology and Clinical Trial Statistics (Education and Research)"

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Senior Lecturer or Reader in Epidemiology and Clinical Trial Statistics (Education and Research)

Location:London, Hybrid
Salary:Senior Lecturer: £65,091-£74,613; Reader: £66,884-£74,613 per annum, including London Weighting Allowance
Hours:Full Time
Contract Type:Permanent
Placed On:19th December 2025
Closes:15th January 2026
Job Ref:134485

About Us

King’s College London is a leading University with nine Faculties. As part of King’s Health Partners, we have an excellent environment for health care interaction and a strong focus on mentoring and career development.

The 2021 Research Excellence Framework (REF2021) placed King’s applied and allied health research 1st for: overall proportion of research rated 4* (world-leading, the best mark possible), research papers rated 4*, impact rated 4*, environment rated 4*(joint), Grade Point Average and Power. REF2021 rated as world-leading: 100% of our environment, 86% of our impact and 70% of our research overall. Over 95% of our research overall was rated as world-leading or internationally excellent.

As of 2025, Kings is number 1 in the world for Nursing (QS world rankings). King’s produces more highly cited research outputs (top 1% citations) on palliative care than any other centre internationally (SciVal), and is second in the world on the same metric for nursing and midwifery. King’s is the largest provider of health care education in Europe.

The Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care (NMPC) is based in the heart of central and south London. It includes the Cicely Saunders Institute for Palliative Care, Policy & Rehabilitation, the premier Institute for Palliative Care, bringing together clinical, research and education teams.

Our applied clinical and health multidisciplinary research transforms therapies, the healthcare experience and outcomes for patients and those important to them, wherever they are cared for. Our award-winning NMPC education programmes span pre-registration nursing and midwifery, and multidisciplinary post-graduate taught and research programmes.

We are committed to staff development and offer opportunities to identify and access appropriate training and professional growth.

About the role

This is an exciting opportunity for a talented individual experienced in the practice and communication of sound statistical principles to join our Faculty. The Faculty supports high quality epidemiological studies and complex clinical trials in nursing, midwifery, palliative care, rehabilitation, technologies, and health services research.

You will contribute to new grant applications and advise on studies to completion and publication, including supervision of junior statisticians. You will also contribute to teaching, provide PhD and MSc supervision and contribute to improving statistical skills across the Faculty.

You will be associated with the UKCRC-registered King’s Clinical Trials Unit (CTU), working to their quality management system. The King’s CTU has world-leading statistical and trial delivery expertise and provides randomisation services and other management system support.

You will be involved in grant applications to a variety of funding streams such as those offered by the National Institute for Health and Care Research and the Medical Research Council (MRC), including pilot/feasibility to definitive trials and fellowships that typically involve trials or epidemiology using big data. There are excellent opportunities to develop, lead and apply novel methods and approaches, in response to complexities in data structures, interventions and outcome measures across the research areas of the Faculty. NMPC researchers collaborate in applications for trials of complex interventions, adaptive designs, cluster randomised trials and outcomes with intercurrent events.

This is a full-time post (35 hours per week), and you will be offered an indefinite contract. You will report to the Professor of Statistics and Epidemiology.

Location: Hybrid – minimum of 2 days on campus (1 day at Waterloo, 1 day at Denmark Hill)

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