73 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" uni jobs at Imperial College London
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, fellows, and researchers to guarantee the smooth operational delivery of the study. Drive the science: Beyond administration, you will oversee data collection and management systems, contributing
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registers Excellent communications skills, both written and verbal, to present and deliver information in an appropriate manner Tact and diplomacy to deal with people in a professional manner Ability to use
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of stakeholders A methodical, detail focused approach and the discretion to handle sensitive information‑focused approach and the discretion to handle sensitive information Openness to learning new
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subspecialty? This is an exciting role based in the occupational lung disease service at Royal Brompton Hospital. You will help set up the UK Silicosis Registry You will be responsible for clinical data entry
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decision-making through data-driven predictive models and digital twinning You will also engage with external collaborators (including IOTA and CSEP), contribute to the mentoring of students and junior
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across the Centre and ensuring that the Centre Director and wider team are provided with relevant, clear, accurate and informative financial information and analysis in order to ensure effective decision
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, on discussion between the academic and line manager to ensure staff are supported and provided with the best environment to achieve their potential. Full information on duties, responsibilities and criteria
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adverse events promptly to ensure their wellbeing. Drive data collection: Collect a wide range of microbiological and host samples and maintain accurate clinical documentation and electronic data records in
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business and improve society through the power of innovative thinking. This is an outward-facing role, grounded in data and driven by the robust global relationships you will build. You will support the
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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 data-driven