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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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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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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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management system, as well as supporting low value contracts. The role is responsible for coordinating and applying good procurement procedures and techniques to meet the business objectives of Queen Mary with
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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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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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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
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which, though complementary and following the Institute strategic plan, also have Centre-specific objectives and requirements. The Centre for Cancer Screening, Prevention and Early Diagnosis (CCSPED