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, School of Medicine is looking for a talented postdoctoral fellow with strong analytical and problem-solving skills. This position offers an opportunity to work on translational research projects in
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, computer science, or a related quantitative field for a two-year Postdoctoral Research Fellow position. This position involves developing statistical methods, data analytic tools, and mathematical models
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, epidemiology, biostatistics, machine learning or a closely related quantitative discipline. Strong knowledge of analytical methods relevant to epidemiological and biomedical research, including machine-learning
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independently and collaboratively in multidisciplinary research teams. Strong analytical, problem-solving, teamwork, and written and verbal communication skills. Proactive, self-motivated, and willing to learn
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experience in integrated evidence generation plan (IEGP) development, RWE generation, HEOR strategy and analytics, health technology assessment, value dossier development, and payer engagement. Year 2 consists
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interactions, and reviewing tables, figures, and listings (TFLs). Responsible for analytical support of clinical trial data (safety and efficacy), including gathering, analyzing, reviewing, interpreting, and
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-functional collaboration with teams including US Marketing, Global Value & Access, Medical Affairs, Regulatory Affairs, Legal, Sales, and Insights & Analytics. The fellow will gain key experiences and skills
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partnering closely with the broader multi-functional USMA team including market access operations, pricing and contracting, analytics, and field teams. Additionally, the fellow will collaborate with critical
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, including Medical Affairs, Legal, Regulatory, Patient Services, Market Access, Data & Analytics, Market Insights, Competitive Intelligence, Global Marketing, and US Commercial Field teams to support
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at high powers. The project is a collaboration between Southampton, led by Professor Charlie Ryan, and Oxford, led by Professor Dmitri Uzdensky. Oxford will develop the theoretical and analytical basis