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Strong knowledge of R Experience navigating Linux-based servers through the command-line interface Attention to detail and strong capacity for organization of tasks and workflows Ability to work
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Record of scholarly publication Strong quantitative analysis skills, with a minimum of 3 years of statistical programming experience with R, Stata, and/or SAS Excellent English language written, verbal
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advanced spatial statistics in R and QGIS is required. The ability to work both independently and collaboratively in a team environment is essential. Pay and Benefits Pay Range: $62,000 - $65,000; depending
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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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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
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diverse soil and management conditions - Excellent technical knowledge of nitrogen dynamics and loss pathways in crop production - Proficiency in GIS and remote sensing workflows, using tools like QGIS, R
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to investigate the underlying DNA damage response mechanisms in cancers. One area of active research is to investigate mechanisms of sensing and resolving R-loops in cancers to provide molecular insight
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genetics and cell biology. Preferred Qualifications: • Experience with bioinformatics or R is strongly preferred. • Previous experience with ‘omics bench research (transcriptomics, genomics, proteomics