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with clinicians and data users (academic and industry partners) and will join a large and supportive interdisciplinary team. About You You will be a qualified GP or Consultant who can apply their
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with clinicians and data users (academic and industry partners) and will join a large and supportive interdisciplinary team. About You You will be a qualified GP or Consultant who can apply their
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statistics, statistical epidemiology, health data science and disease prevention. It also includes the LSHTM Clinical Trials Unit hub. We have an exciting opportunity for a statistician to join a collaborative
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effects from routine data (HOD2 ). The second study is NIHR funded, evaluating ‘urgent’ versus ‘planned’ surgery for patients with common vascular conditions (ESORT-V ), using large-scale routine data
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Progression Markers Initiative (PPMI study), funded by the Michael J Fox Foundation. PPMI is a large-scale study creating an open-access data set and biosample library to accelerate scientific breakthroughs and
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and link of neighbourhood environmental exposure data to large-scale administrative and epidemiological data. Further particulars are included in the job description. The post is full time 35 hours per
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, genomic data scientists who can work on large-scale genomic datasets with collaborators at the University of Cambridge, University of Witwatersrand and others globally. Our work leverages big data in
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multivariate longitudinal models. The applied work will use large scale electronic health records data, including CPRD (Clinical Practice Research Datalink) and UK Biobank, and develop evidence synthesis methods
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join a supportive team using OpenSAFELY for analysis of linked EHR data. This post is funded by a large NIHR grant examining socioeconomic and ethnic inequalities in respiratory virus transmission in
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large collections of pathogen genome data. The model will be validated and applied to specific pathogens including Mycobacterium tuberculosis, Salmonella Typhi and Klebsiella pneumoniae (WHO priority