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their data needs and objectives. • Perform data analysis and generate reports as needed. • Stay current with data analysis tools and techniques, particularly in R, Python, and SAS. • Helping prepare materials
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, postdoctoral fellows in the lab, and students to develop and execute computational pipelines and tools to analyze genomic data. Essential Functions: Create computationally efficient tools (in Python, R, and bash
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high-quality data Experience working with diverse teams Experience identifying vegetation strongly preferred Experience with Excel and R strongly preferred Willingness to travel for field work including
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skills for this position. Specifically, the PA will use generalized additive mixed-effects models to analyze data from existing and ongoing projects. Fluency with the R programming language is essential
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threats, development of R&D roadmaps, antimicrobial resistance and stewardship, and bioterrorism/pandemic/emergency preparedness. Pay and Benefits Pay Range: $200-$250/hour; depending on education
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, development of R&D roadmaps, antimicrobial resistance and stewardship, and bioterrorism/pandemic/emergency preparedness. Pay and Benefits Pay Range: $100-$150/hour; depending on education/qualifications
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(e.g. SAS, Stata, or R) Experience working with healthcare claims data. Demonstrated attention to detail and consistent documentation practices when writing statistical code. Willingness to learn and
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% of time), 2) building a quality-checked database for multiple studies and datafields (25%), analyzing the data using a variety of statistical approaches in R (25%), and generating high-quality figures and
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skills in R programming - Working knowledge of Python - Experience with basic analyses to characterize gut microbiomes, including diversity analysis, differential abundance analysis, modeling microbial and
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data, as in Mendelian randomization and TWAS. In addition to new methods development and evaluations, the job responsibilities include software development (mostly in R, or in Python/TensorFlow/Keras