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products Familiarity with relational databases, data management, and data quality principles Experience with analytical or automation tools such as R, R Markdown, Python, SQL, or similar technologies
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in epidemiology, research, and statistics Well-versed in R/R Studio, SAS, Microsoft Suite Knowledge of SQL and Python Point of Contact Rachel Eligibility Requirements Citizenship: U.S. Citizen Only
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in the one of the relevant fields. Preferred Skills: Strong skills in data analysis and database management; statistics and programming knowledge preferred (e.g. R/R Studio, SAS, Stata, SQL, Python
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sequencing) Familiarity with statistical analysis or bioinformatic software (R, Python, QIIME2, BLAST-based workflows etc.). Scientific writing (i.e. thesis chapters, manuscripts.) Stipend $74,678.00 Yearly
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(biostatistics, epidemiology, health, or population sciences). Degree must have been received within the past five years. Preferred skills: Programming and analytical skills in SAS, SUDAAN, Stata, R, Python
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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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to lift and operate heavy equipment (at least 50 lbs) in hot, dry field conditions. Ability to engage with, process, and integrate diverse data streams. Coding experience (Python preferred, but others
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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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. 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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: 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