Senior Lecturer / Reader (Education & Research) in Statistics and Epidemiology
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)
About You
To be successful in this role, we are looking for candidates to have the following skills and experience:
Senior Lecturer (Education & Research)
Essential criteria
- Higher academic degree (PhD or medical equivalent)
- Clear upward trajectory of peer-review publications with sustainable track record consistent with world-leading or internationally excellent REF outputs, with originality, rigour, and significance in areas relevant to Faculty research themes. These should demonstrate growing international recognition of research excellence in their field.
- Evidence of ability to secure research grant funding, demonstrated by previous experience and upward sustainable track record, plans, experience of funding schemes relevant to Faculty research themes, and demonstrable leadership in delivering publications/projects. Clear ability to obtain sufficient funding to lead a research group to deliver an innovative research programme.
- Evidence of continued development in research methods in applied health and/or clinical research, and how these would contribute to improving and/or complement the Faculty’s research and education, with increasing expertise in specific areas (e.g. health services research, trials, mixed methods, co-design, big data analysis, implementation science, economics, statistics, patient and public involvement).
- Experience of and training in PhD supervision, as first or second supervisory and/or as part of supervisory progression panels.
- Evidence of commitment to continued development in evidence-based practice, research methods and evidence relevant to care, with up-to-date knowledge, skills and accomplishments, able to supervise MSc and undergraduate student projects and critically appraise a wide range of relevant research, including data presentation and basic analysis.
- Evidence of high-quality expert statistical input into planning, funding applications, protocols, analysis, interpretation and write-up of original and rigorous clinical trials and other well-designed studies (especially big data epidemiology).
- Evidence of provision of high-quality statistical advice e.g. serving as the independent statistician on study oversight committees
- Hold a postgraduate qualification in teaching, recognised by Advance HE (formerly the Higher Education Academy)
Desirable criteria
- Relevant clinical, health or social care expertise and proven commitment to one or more of the fields relevant to the faculty, and a network of national successful collaborations that will benefit our future directions
- Ability to identify new research opportunities and collaborative partnerships to enhance the research of the Faculty and King’s
Reader (Education & Research)
Essential criteria
- Higher academic degree (PhD or medical equivalent)
- Clear upward trajectory of peer-review publications with sustainable track record consistent with world-leading or internationally excellent REF outputs, with originality, rigour, and significance in areas relevant to Faculty research themes. These should demonstrate growing international recognition of research excellence in their field or internationally recognised leadership in their field of research with new knowledge and innovation.
- Evidence of ability to secure research grant funding, demonstrated by previous experience and upward sustainable track record, plans, experience of funding schemes relevant to Faculty research themes, and demonstrable leadership in delivering publications/projects. Clear ability to obtain sufficient funding to lead a research group to deliver an innovative research programme or experience in obtaining funding and leading a research group to deliver an innovative research programme.
- Evidence of continued development in research methods in applied health and/or clinical research, and how these would contribute to improving and/or complement the Faculty’s research and education, with increasing expertise in specific areas (e.g. health services research, trials, mixed methods, co-design, big data analysis, implementation science, economics, statistics, patient and public involvement), and with international recognition of this.
- Experience of the planning and delivering high-quality evaluated education at undergraduate and/or postgraduate levels with a strong focus on a high-quality student experience and success. Evidence of leadership in education or assessment initiatives. Evidence of supervising PhD students and strong progress and timely completion.
- Evidence of commitment to continued development in evidence-based practice, research methods and evidence relevant to care, with up-to-date knowledge, skills and accomplishments, able to supervise MSc and undergraduate student projects and critically appraise a wide range of relevant research, including data presentation and basic analysis.
- Evidence of high-quality expert statistical input into planning, funding applications, protocols, analysis, interpretation and write-up of original and rigorous clinical trials and other well-designed studies (especially big data epidemiology).
- Evidence of provision of high-quality statistical advice e.g. serving as the independent statistician on study oversight committees
- Hold a postgraduate qualification in teaching, recognised by Advance HE (formerly the Higher Education Academy)
Desirable criteria
- Relevant clinical, health or social care expertise and proven commitment to one or more of the fields relevant to the faculty, and a network of national and international successful collaborations that will benefit our future directions.
- Track record of successful capacity building, including PhD supervision, attracting PhD fellowship funding, and growing post-doctoral teams.
- Experience of serving on grant giving and funding committees.
- Ability to identify new research opportunities and collaborative partnerships to enhance the research of the Faculty and King’s.
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.
Grade and Salary: Senior Lecturer: £65,091-£74,613; Reader: £66,884-£74,613 per annum, including London Weighting Allowance
Job ID: 134485
Close Date: 15-Jan-2026
Contact Person: Stephen Bremner
Contact Details: stephen.bremner@kcl.ac.uk
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