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project developing Bayesian causal inference methods for mediation analysis using Electronic Health Records (EHR) data. The Research Fellow will design and implement Bayesian methods and software
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in data analysis and reporting (Business Objects, Power BI, Excel, etc.), and a passion for visualising stories and creating meaningful insights from data. You will be responsible for upholding data
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and business objectives. In addition to your technical expertise, you will help foster effective communication and teamwork across IT teams and with stakeholders at all levels of the organisation
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and other members of the clinical team to deliver the learning objectives of our primary care-focused rotations that run throughout the year. The role will involve extensive interactions with colleagues
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to deliver the learning objectives of our primary care-focused rotations that run throughout the year. The role will involve extensive interactions with colleagues and students and require excellent
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relationship to support university wide objectives. You will work closely with the Director and relevant senior leadership to develop and manage the global engagement strategy in collaboration with relevant
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objectives, take on a key role to devise, implement and monitor the academic and research strategy. You will be required to evaluate, interpret and locally implement best practice for the research support for
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colleagues within the School and wider University to ensure the effective delivery of their objectives. About You Candidates should be educated to degree level or equivalent and have considerable experience
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strategic plan, also have Centre-specific objectives and requirements. The postholder will be based in the Centre for Evaluation and Methods (CEM). CEM is a thriving research centre that incorporates a number
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common complex human genetic diseases using genomics and other omics data within large-scale health datasets. The postholder will contribute to objectives and development of a research programme funded by