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. Experience with data visualization software such as Tableau, D3.js, ggplot2 or Gephi. Experience with statistical packages such as STATA, SPSS or SAS, or experience with geospatial analysis software. Master’s
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, statistics, reports, and documents. Provides operational support using various computer applications for organization and project management. Assists with several large strategic projects. Plans for all major
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, and interprets cancer surveillance, population, geographic, environmental, and health services catchment area data using appropriate data management, statistical, GIS, and other programming software
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of study timelines, milestones, and follow-up activities. Develop and refine study protocols and research materials; conduct statistical analyses; and maintain, manage, and review study databases to ensure
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such as centrifuges, electrophoresis, and confocal microscopes. Compile and analyze data with appropriate statistical analysis, conclusions, and future directions in support of further CNM research. Adhere
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of CCL’s geospatial databases and online analytics dashboards. Will assist in the documentation of literature reviews. Will be expected to keep accurate records, enter data, and perform basic statistical
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primary care research. The position requires knowledge of pragmatic biostatistics and high-level skills in statistical programming and analysis, as well as expertise in research methodology. He/she will
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and experience in conducting both small-scale and large-scale school-based evaluation research. Advanced mastery of Microsoft Excel and at least two statistical packages (e.g., SPSS, SAS, AMOS, MPlus, R
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intervention/disposition plan. Among the key duties of this position are the following: Identifies the appropriate level of care disposition from skill based knowledge of the Diagnostic and Statistical Manual
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, statistics, or computational neuroscience. Excellent written, verbal and computer skills. Excellent communication and interpersonal skills. Must be able to work independently and/or collaboratively. Excellent