Location: | London |
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Salary: | £37,332 to £42,099 per annum, including London Weighting Allowance. |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 22nd April 2024 |
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Closes: | 6th May 2024 |
Job Ref: | 088185 |
Job description
We are looking for a Research Assistant to join the Unit for Medical Statistics (UMS) in the School of Life Course & Population Sciences. The postholder will contribute to the work undertaken by existing staff and take day-to-day responsibility for the statistical and database aspects of specific clinical trials and/or other clinical studies and registry projects (epidemiological studies). This will include project planning and protocol development, database development, study conduct, plans for all statistical analyses and liaising with the appropriate multidisciplinary teams to represent the statistics view and role. In addition, the postholder will contribute to statistical consultancy as part of UMS. All work will be supervised by a senior member of UMS.
The post holder will be graduate in mathematics/statistics (or other quantitative discipline) with strong programming skills and good attention to detail. It will suit a graduate with ambitions to work in Data Science and/or clinical trial statistics.
This post will be offered on a fixed-term contract from 01-July-2024 until 30-June-2026.
This is a full time post - 100% full time equivalent / 35 hours per week.
Candidates are strongly encouraged to specifically address the essential criteria outlined in the Person Specification in their covering letter.
Further InformationThe School of Life Course & Population Sciences is one of five 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.
More information: https://www.kcl.ac.uk/slcps
Closing date: 06 May 2024
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