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designing and implementing data collection forms, cleaning data, and running statistical models with the collaboration of the research team. Work with PI to update and maintain data files including
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problems. Use various software applications such as spreadsheets, relational databases, statistical packages, and graphics packages to assemble, manipulate, and/or format data and/or reports. As needed
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& Reporting Functions (20%) Assist in the collection, analysis and reporting of admissions statistics throughout the admissions cycle, using admissions software (e.g. SIS, Slate) and other appropriate sources
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, physics, and statistics. This information collection is needed to facilitate the administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite
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processing and analysis. Knowledge of statistics, data analysis, and data quality standards. Knowledge of data scraping techniques Familiarity with container management frameworks such as Docker, Kubernetes
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Knowledge, Skills, & Abilities A thorough understanding of educational delivery models. Proficiency in using learning management systems. Familiarity with statistical software and programming languages
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/ATAC-seq/RNA-seq. Knowledge in statistical analysis and integration analyses between these assays. Significant contributions will be rewarded with co-authorship. The applicant will enjoy working with
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or data cleaning methods, software, or personnel. Document work and data analyses, particularly through organized digital records of data set sources, file locations, and statistical and bioinformatics code
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to all statistics packages. Provide support to faculty investigators in all areas of research projects, including data management and cleaning, basic biostatistical analysis, and complex biostatistical
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, statisticians, and investigators in a variety of fields to manage and analyze complex multicenter longitudinal data. The successful applicant will contribute to the development and application of statistical