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A leading academic institution in the UK seeks a Lecturer in Clinical Trials Statistics to advance innovative statistical methods and support high-quality clinical trials. This full-time position includes teaching responsibilities and collaborative research within the interdisciplinary environment. Applicants must possess a PhD in medical statistics and relevant experience. Competitive salary offered in the range of £53,149 - £57,566 per annum.
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Organisation/Company KINGS COLLEGE LONDON Research Field Medical sciences Mathematics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country United Kingdom Application Deadline 7 Aug 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
About us:
We have an exciting opportunity for an early to mid-career academic for appointment as a Lecturer in Clinical Trials Statistics and Healthcare Technology.
The post is based in the Department of Biostatistics and Health Informatics in the School of Mental Health and Psychological Sciences at the Institute of Psychiatry, Psychology and Neuroscience. The Department has been a major force in the development of quantitative methodology as applied to mental health research. We have significant national and international collaborations, and our research has growing impact into all areas of medicine particularly through expertise in trials and software development. The current Head of Department is Professor Richard Dobson.
The appointee will work with the King’s Clinical Trials Unit (KCTU), the UKCRC registered CTU within King’s College London and Partner Trusts in King’s Health Partners. KCTU supports trials in all disease areas with specialist strength in mental health, neuroscience, rheumatology, transplantation and ophthalmology. The KCTU Academic Director is Professor Richard Emsley.
About the role:
This position provides an exciting opportunity for an early to mid-career academic to contribute to the development and application of innovative statistical methods in clinical trials of digital, diagnostic, and medical device technologies, alongside drug and behavioural interventions.
You will join a thriving interdisciplinary research environment within the Institute of Psychiatry, Psychology & Neuroscience, and contribute to the delivery and methodological development of high-quality clinical trials across King’s Health Partners. You will support the design, analysis, andreporting of trials of healthcare technologies and contribute to a programme of methodological research aligned with KCTU priorities.
You will also contribute to postgraduate teaching and supervision in clinical trials and biostatistics, and support the broader aims of capacity building in clinical trials methodology at King’s.
This is a full time post (35 hours per week), and you will be offered a fixed term contract until 31/01/2030.
About you:
To be successful in this role, we are looking for candidates to have the following skills and experience:
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 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 in August or September 2025.
Grade and Salary:£53,149 - £57,566 per annum, including London Weighting Allowance
Job ID:120205
Close Date:07-Aug-2025
Contact Person:Professor Richard Emsley
Contact Details:Richard.emsley@kcl.ac.uk