220 data-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at King's College London
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perspective. About the role The Data Analyst works within the Data Team, using and transforming data from multiple sources to produce high quality, digestible reports, dashboards, and bespoke pieces of analysis
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on collaboration, learning, and helping partners deliver and embed solutions. DISS sits within the Student Knowledge, Information & Enquiries (SKIE) department. SKIE brings together colleagues who are focussed
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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 on what criteria will be
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. The Department holds over 30 years of deeply phenotyped and multi-omic data on more than 15,000 participants in the TwinsUK cohort one of the UK’s most powerful longitudinal research resources. About the role
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Departments. About the role We are seeking Lead Data Scientist to join the **Sentinel Stroke National Audit Programme (SSNAP)—**the leading source of stroke data for England, Wales, and Northern Ireland
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of these educational programmes. About the role We are seeking an enthusiastic individual with the appropriate disciplinary experience for the post of Lecturer in Computer Engineering, who are interested in developing
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Job id: 132545. Salary: £39,076 per annum, including London Weighting Allowance. Posted: 04 December 2025. Closing date: 14 December 2025. Business unit: Students & Education. Department: Data
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Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across six Departments. About the Medical Statistics: https://www.kcl.ac.uk
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the increasing demand for advanced statistical expertise in clinical trials, including first-in-human studies, trials involving digital health technologies, real-world data analyses, and translational research
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About Us The TOUR (Transforming cancer OUtcomes through Research) team brings together clinicians, epidemiologists, data scientists, and research professionals dedicated to improving cancer outcomes