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. in epidemiology, biostatistics, bioinformatics, or a related quantitative field, with previous experience in analyzing large-scale omics data and strong programming skills in R / Bioconductor or Python
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majors. The School includes activities in the Public Health disciplines of Behavioral Medicine, Biostatistics & Bioinformatics, Epidemiology, Global Health, Health Policy, Health Equity, Public Mental
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field such as statistics, biostatistics, bioinformatics, computational biology, human genetics, computer science, or a closely related area is required. Experience: Demonstrated experience in strong
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. Demonstrates ability to use sound judgment in responding to issues and concerns. Demonstrates ability to analyze, research, and synthesize large amounts of data with strong attention to detail. Proficient in
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the Public Health disciplines of Behavioral Medicine, Biostatistics & Bioinformatics, Epidemiology, Global Health, Health Policy, Health Equity, Public Mental Health, and Environmental and Climate Health
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. Demonstrates ability to use sound judgment in responding to issues and concerns. Demonstrates ability to analyze, research, and synthesize large amounts of data with strong attention to detail. Proficient in
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of Behavioral Medicine, Biostatistics & Bioinformatics, Epidemiology, Global Health, Health Policy, Health Equity, Public Mental Health, and Environmental and Climate Health. The School administers two PhD
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majors. The School includes activities in the Public Health disciplines of Behavioral Medicine, Biostatistics & Bioinformatics, Epidemiology, Global Health, Health Policy, Health Equity, Public Mental
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utilized to extract, clean, maintain, integrate, and analyze data from ongoing prospective research studies and large-scale electronic health records (EHRs). Collaborate on analysis of large and developing
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the Public Health disciplines of Behavioral Medicine, Biostatistics & Bioinformatics, Epidemiology, Global Health, Health Policy, Health Equity, Public Mental Health, and Environmental and Climate Health