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and contribute to methodological and applied projects in risk prediction using electronic health records data. There is increasing interest in blending concepts of causality into risk prediction models
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specialties and disciplines with a key interest in cancer MDT work. Experience in quality improvement, project management, data collection and analysis would be advantageous. A demonstrated ability to
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is an essential part of the selection process and thus a failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see
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for observational research. The successful candidate will be part of Discipline 1 (Surveillance, Epidemiology, Electronic Health Records Research, Big Data). The post-holder will have a postgraduate degree, ideally a
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experience working with complex datasets, missing information and data quality issues. Programming skills in R, Python or other open-source programming language are required. Further particulars are included
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of conducting health systems research and proven expertise in analysing qualitative data. Experience in the design and evaluation of interventions using co-design and participatory approaches are desirable
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essential part of the selection process and thus a failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see attached CV
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addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that the application will not be considered. An answer
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or more paragraphs addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that the application will not be
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imaging platforms and computer programming. The successful applicant will have an MSc or postgraduate degree in a relevant topic, relevant experience in AI-based imaging platforms and computer programming