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We are seeking a talented researcher with at least 4-years postdoctoral experience in epidemiology, health data science or medical statistics. You will be responsible for establishing a large health
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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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trial from conception to dissemination 4. Familiarity with statistical software packages such as STATA, and/or R 5. Experience in the design and analysis of Monte Carlo simulation studies
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epidemiology, applied mathematics/statistics or related discipline. 2. Have substantial relevant experience in quantitative research. 3. Have substantial experience of using statistical packages such as STATA
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degree in a field related to Public Health Nutrition, Epidemiology, or Public Health, with demonstrated strengths in geospatial and statistical methods. Demonstrated proficiency in Stata, R, or other
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addressing complex health and social care challenges of the 21st century. We employ traditional statistical and epidemiological methods, alongside cutting-edge artificial intelligence algorithms to gain
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for any missing competencies. Prior participation in the preparation of scientific manuscripts is required. Prior experience with statistical analysis and data management is required. Preferred Knowledge
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of anticipated completion of a PhD in Medical Statistics or Epidemiology. Experience conducting independent research using routinely collected electronic health records and writing analytic code in Stata, R and/or
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Details Posted: 04-Jun-24 Location: Boston, Massachusetts Type: Full-time Salary: Open Categories: Academic/Faculty Mathematics/Statistics Internal Number: 5303762 Zelevinsky Postdoctoral Fellow
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strong research record Enthusiasm for applied research Broad knowledge of relevant literature in applied behavioural science Capability with experimental and statistical software packages and techniques