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using real-world data. The post holder will work with large healthcare datasets, electronic health records, and registry data, while engaging with clinical and data science teams to represent statistical
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Neurodevelopmental Science. The project uses large-scale primary care electronic health record data to develop and validate models that (i) identify adults at increased likelihood of unrecorded learning disability
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designed to identify genetic and cognitive predictors of treatment response across large, well-characterised samples. The programme integrates genomic data with cognitive phenotyping, digital assessments
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to study design, data management strategies, analytical approaches, and inferential analyses for observational and translational research using real-world data. The post holder will work with large
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, clinical trials and digital health. You will work as part of and be supported by a large and well established multi-disciplinary research team with a strong track record of producing high impact
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AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the
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to a large multidisciplinary team of chemists, radiochemists, (radio)biologists, pharmacists, and clinicians. This is a full time post (35 hours per week), and you will be offered a fixed term contract
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information. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area Understanding of (and