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A doctoral degree in epidemiology, statistics, computer science, or a related quantitative field Technical Requirements Expert knowledge of R or SAS Additional Qualifications Preferred Skills
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projects Conduct background research for literature reviews and case materials Interpret and codify qualitative data; use statistical programs to clean up quantitative data, create datasets, and run analyses
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of statistical analysis is required. ● Familiarity with next-generation sequence data analysis tools ● Basic understanding of molecular biology and next generation sequencing is highly preferred
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related experience preferred Proficiency with statistics, data modeling and algorithms Significant experience with R programming, and familiarity with one of other coding languages (e.g. Python, Perl
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resulting from incorrect, incomplete, or conflicting data in collection management system. Maintain processing statistics for reporting. Assists in designing and implementing new tools to improve access
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practitioner-facing white papers and reports Conduct cleaning, statistical analysis, and visualization of data for research projects Conduct interviews, surveys and other qualitative data gathering activities