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interdisciplinary collaborative statistics unit in the Biomedical Informatics Research Division within the Department of Medicine at Stanford University. The mission of Stanford's Quantitative Sciences Unit is to
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data, and disseminate findings. Independently work with investigators on proposal or grant development. Take the statistical lead on studies. Oversee biostatisticians in the lower levels on data cleaning
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into individual research teams. Duties include: Design study. Develop and implement protocol for quality control. Create analytic files with detailed documentation. Select appropriate statistical tools
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collaborative approach where QSU members become fully integrated into individual research teams. EDUCATION & EXPERIENCE (REQUIRED): Master’s degree in biostatistics, statistics or related field and three years
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collaborative approach where QSU members become fully integrated into individual research teams. EDUCATION & EXPERIENCE (REQUIRED): Master’s degree in biostatistics, statistics or related field and three years
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The Quantitative Sciences Unit (QSU) is an interdisciplinary collaborative statistics unit in the Biomedical Informatics Research Division within the Department of Medicine at Stanford University
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The Quantitative Sciences Unit (QSU) is an interdisciplinary collaborative statistics unit in the Biomedical Informatics Research Division within the Department of Medicine at Stanford University
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A programmer analyst position is available at the USC Center for Genetic Epidemiology. The analyst will work directly with Dr. Chang (April) Shu on the statistical analysis of mental and behavior
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The Quantitative Sciences Unit (QSU) is an interdisciplinary collaborative statistics unit in the Biomedical Informatics Research Division within the Department of Medicine at Stanford University
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University of California, San Francisco | San Francisco, California | United States | about 22 hours ago
equivalent experience / training Minimum 1 year of related experience Working knowledge of clinical research principles and research design Working skills in statistical analysis, systems programming, database