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Discovery Programme. Producing publications based on research, you will lead on the development of research measures, data collection, and data analysis, liaising with collaborators, the advisory board, and a
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, including but not limited to screening and enrolling new participants, scheduling and conducting trial visits, collecting research data in line with study protocols, entry of research data into an online
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support funds. This includes the creation of letters as well as maintaining accurate records through the use of spreadsheets. The post holder will also support the team in offering information, support and
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assays, nucleic acid sequencing and analysis. You will hold an undergraduate degree in biomedical sciences with a working knowledge of data analysis including statistical analysis of data. Experience
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agreed by your current line manager. Interviews for this position will take place on 25th March 2026 Background Libraries and Learning Resources supports the information resource and service needs of staff
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, ensuring that calls are routed and general information provided accurately, whether the calls are from students, faculty, staff, and the public. The hours for this role are: · Monday to Thursday 2pm to 5pm
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the section of Perinatal Psychiatry at the Stress, Psychiatry and Immunology Lab. As part of this role, they will be a study coordinator for HappyMums, a consortium study which investigates whether data
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to the relevant vacancy for full details and information on how to apply. Jobs where you can apply online You will need an email address to register for our online system. If you cannot apply online — for example
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of Artificial Intelligence, data science and biomedical modelling. This post is funded by Glaxo Smith Kline Research and Development Ltd. You will be part of MiMeC, a new collaboration applying mechanistic and
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the Lymphovascular Research group collaborating with computational, clinical and laboratory scientists. The post holder will support the group by analysing genomic data to identify and characterise genes underlying