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, Spectronaut, and/or DIA-NN, and with applying statistical and multivariate analysis methods to large-scale proteomics datasets; programming proficiency in R, Python, or C++ is a plus ● Skilled in sample
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chemistry, size-exclusion chromatography, HPLC, stability testing, or related analytical methods. Experience analyzing and visualizing data using GraphPad Prism, ImageJ/FIJI, FlowJo, Python, R, CellProfiler
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, sick, and holidays and more. To see what benefits are available, please visit: https://www.cu.edu/employee-services/benefits-wellness . Why Work For The University: Why work for the University
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, sick, and holidays and more. To see what benefits are available, please visit: https://www.cu.edu/employee-services/benefits-wellness . Why Work For The University: Why work for the University
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systems Knowledge, Skills and Abilities: Strong quantitative and analytical skills, including experience with genomics data analysis (R, Python, or related tools) Excellent written and verbal communication
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related to substance use, homelessness, infectious diseases, and/or health inequities Experience working with large datasets and statistical software such as R, SAS, Stata, or Python Evidence of scholarly
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, Python, R, and related analytical tools. • Experience supervising or mentoring students or research staff. Knowledge, Skills, and Abilities • Demonstrated ability to manage multiple priorities and