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the past five years. Preferred skills: Programming and analytical skills in SAS, SUDAAN, Stata, R, Python, or related data manipulation and analysis software Experience analyzing complex surveys, developing
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one or more of the following areas: Next-generation sequencing or genomic data analysis; Viral genomics, infectious diseases, or genomic epidemiology. Python, R, Bash, SQL, or another relevant language
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physical activity promotion. Learn how to apply quantitative and qualitative analytic methods, including opportunities to use GIS, statistical software (R or Python), and emerging analytic approaches
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meteorological, snowpack, and avalanche datasets using statistical, geospatial, and programming tools (R and Python). Calibration, evaluation, and application of snowpack and hydrologic models (e.g., SNOWPACK
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. Preferred skills Knowledge of basic methods in genomic sequence analysis and plant genetics. Unix scripting, knowledge of a scripting language such as Python, Perl, awk, or R, knowledge of computational
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analyzing environmental DNA metabarcoding datasets, Use of common bioinformatic pipelines such as QIIME2 and DADA2, Experience in python and R programming languages, Co-authorship of peer-reviewed
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: Training and hands-on experience in epidemiologic and quantitative data analysis Experience with statistical software such as SAS, R, Stata, or Python Experience analyzing observational, survey, electronic
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of large-scale genomic and transcriptomic datasets Experience in high-performance computing environments (e.g., command-line interface, scripting in R/Python, use of common bioinformatics software). Ability
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applying statistical or analytical methods using software such as R, SAS, Python, Stata, or similar tools. Familiarity with public health surveillance systems, environmental health data, geographic
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, or extreme weather impacts on health. Experience with quantitative datasets and applying statistical or analytical methods using software such as R, SAS, Python, Stata, or similar tools. Familiarity with