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Legacy, health data and genomic data analysis using genetic epidemiology, trial emulation or health economic analysis to address questions relevant to diverse populations and their risk of cardiometabolic
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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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evaluation, policy analysis and qualitative studies, and teams from a wide range of disciplines. We are recruiting a research fellow to contribute to the development and psychometric analysis of a new patient
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clinicians, managers, and policymakers. Our work brings together a wide range of methods, including quantitative evaluation, policy analysis and qualitative studies, and teams from a wide range of disciplines
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to conduct cost effectiveness, cost-benefit, and value for money analysis of the SFP. The role will involve compiling a set of resources and creating new learning materials. The successful candidate must have
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NIHR co-funded project to determine appropriate methods of analysis for cluster randomised trials with rare outcomes. The project is motivated by a large cluster randomised trial conducted in Niger
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degree. They will have experience performing complex biostatistical analyses, risk prediction, and an aptitude for methodological research. Experience with epidemiological analysis or large-scale health
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. Additionally, experience with geospatial analysis, GIS, and data science is essential. Some experience in communication and dissemination of policy-relevant results is desirable. The post is full-time 35 hours
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, as well as practical experience in a broad range of techniques that apply to microscopy including image acquisition and image analysis. Further particulars are available in the job description. The