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or related discipline to develop their data analysis and modelling skills and experience, applied to the field of health economics. We wish to encourage people who have strong quantitative skills who may be
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working full-time. An exciting opportunity has arisen for a talented graduate in a quantitative STEM, psychology, health or social sciences or related discipline to develop their data analysis and modelling
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criteria Experience working with unfamiliar open-source software (assessed at: application/interview). Familiarity with basic experimental evaluation and data analysis (e.g., plotting results, interpreting
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accordance with the study and assisting with analysis and interpretation of results. The role: As Research Assistant, you will have the opportunity to use your experience of qualitative research and Psychology
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-analysis methods, and an enthusiasm for working with large datasets, including datasets with linked healthcare data. The successful applicant will need to already have, or be eligible for, accreditation as
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-source software packages. As a Research Assistant, your primary duty will be to support the analysis of real-world data mapped to the OMOP Common Data Model, contribute to wider project planning, including
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-analysis methods, and an enthusiasm for working with large datasets, including datasets with linked healthcare data. The successful applicant will need to already have, or be eligible for, accreditation as
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in developing, enhancing and evaluating the impact of the University activities that support the Teaching Excellence Framework (TEF). It will also be an essential component, working in partnership with
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PAC Leads, supporting them through research design, data collection, analysis and dissemination. Working 2 days at Abernethy Building, Whitechapel and 3 days at Coffee Afrik's Youth Hub, you'll receive
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under supervision from the Chief Investigator (Dr Claire Wilson). The role will be responsible for contributing to all aspects of the research, including data collection, analysis and publication of study