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BACKGROUND The Health and Medical Sciences Programme at Turing delivers research into the theory and methods of AI, statistics, and data analytics underpinning medical and health applications. The Alan Turing
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statistics, or relevant quantitative discipline, and demonstrable experience handling large complex medical/health research datasets and strong statistical knowledge and skills. Responsibilities The post
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researcher (Grade 7), trained in statistics, epidemiology, economics or equivalent, with experience of longitudinal methods. Experience with one or more of the administrative databases within the ECHILD
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of Masters Programmes and a substantial number of postgraduate research students. We undertake research on a wide range of issues relating to human evolution, with a fo cus on model-based statistical inference
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develop capabilities, which might include building and deploying machine learning models; applying data science, statistical and algorithmic techniques to data; building microservices, data processing
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Statistics Unit at The Institute of Cancer Research (ICR-CTSU) seek an experienced and highly motivated Principal Statistician to join their team of over 20 statisticians. We want to hear from you if you
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systems scientists, PhD students and support staff, and will be expected to contribute to various large-scale projects. Duties and responsibilities With a PhD in epidemiology, statistics, data science, or a
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and Surveillance group. Within a week of working here, your day could look like this: you will be applying your epidemiological, statistical and leadership expertise to a range of studies to develop and
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and qualitative student data to inform strategic decision making. Successful candidates will have demonstrable previous experience in the statistical analysis of data, preferably student data across
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strong critical thinking and problem-solving skills, a high level of numeracy and the ability to interrogate large, complex datasets in Excel or statistical packages, you should have a background of