196 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" positions at University of London
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About the Role We invite applicants for a senior medical statistician to contribute to the “Big Data for Cardio-Oncology” programme funded by the Wellcome Trust. The research leverages multiple
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, including liaising with speakers, managing logistics and evaluating impact. Maintain and develop EDI webpages and intranet content, ensuring information is accurate and up to date. Produce and contribute
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, sexual orientation, or trans status or history. More information on our structures and initiatives around EDI, including information on staff diversity networks, can be found on our Equality and Diversity
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status, parental status, race, religion or belief, sexual orientation, or trans status or history. More information on our structures and initiatives around EDI, including information on staff diversity
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for Student Study Services. This post will play a vital role in supporting the organisation’s data infrastructure and enabling the successful implementation of a new Student Records System. The successful
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. The study integrates clinical, microbiological, and data science approaches to generate evidence and tools for safer, more targeted infection management in hospitalised newborns. Key output involves leading
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an initial contract of 10 months, with the possibility of extension subject to funding. The main responsibilities include experimental design, Nanopore sequencing and data analysis, phylogenetics and genome
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, focus groups, observation and documentary analysis, and will lead on the analysis and synthesis of qualitative data using systems evaluation frameworks. The role requires an excellent understanding
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or history. More information on our structures and initiatives around EDI, including information on staff diversity networks, can be found on our Equality and Diversity Intranet page .
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student experience. The Mentors will work with academic departments and faculties, teams across Student Journey and will use engagement data to identity students who are not academically engaged through non