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will deliver projects that leverage large-scale electronic health record data and rich cytometry data derived from full blood count analysers to develop and refine machine learning models to improved
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the sustainability and impact of generative AI at LBS. Main Responsibilities Involved in ongoing delivery of broader initiatives as set out by the School's Data & AI strategy, and Technology Strategy. Define and
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, with the identification of trends and issues. Development of relationships within and outside the team, and positive feedback from all stakeholders. Up-to-date and accurate financial information for own
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information. You will coordinate monthly, quarterly, and year-end management reporting processes, taking a leading role in improving and developing management information. You will be specifically supporting
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data integration for epidemiological innovation, funded by the Wellcome Trust. The CONNECT project offers the opportunity to work with the largest population-based UK cohorts, such as UK Biobank, CPRD
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will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and help supervise associated PhD students. The successful candidates will join large, supportive
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large health datasets on topics including pharmacoepidemiology and non-communicable diseases. The post requires strong data management and quantitative skills with expertise in a common statistical
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for cardiovascular disease in this patient group using linked electronic health record data. The post offers an excellent opportunity to develop expertise in risk prediction methodology for electronic health records
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, whilst desirable, is not essential but the successful candidate will be a quick learner and able to process large volumes of information quickly. They will be proactive in their approach to work and able
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planning processes and best practices. Familiarity with stakeholder management and communication strategies. Knowledge of performance metrics and data analysis techniques. Awareness of event management