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(ML)-based decision support system Building reproducible data pipelines and analysis workflows using statistical programming languages (e.g., SQL, Python, or R) Formatting clinical data and preparing
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: Programming and analytical skills in SAS, SUDAAN, Stata, R, Python, or related data manipulation and analysis software Experience analyzing complex surveys, developing cohort analyses, and testing health
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applications and end user experiences Writing clean, efficient, well documented code using programming languages such as C#, C++, Python, Kotlin, Java or Swift Developing and implementing APIs to write XR
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. Experience with programming languages commonly used for data science (e.g., Python or R). Experience or interest in image-based phenotyping using satellite imagery and UAV (drone) image data. Communication
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using satellite and UAV platforms R and python Shiny Application development Mobile app development experience Stipend $70,000.00 – $90,000.00 Yearly Point of Contact Michele Eligibility Requirements
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written, verbal, and interpersonal skills; Background in epidemiology and/or maternal and child health; Education or experience analyzing data using SAS, R, Python and/or other statistical software
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include some combination of R and/or Python, competency with reproducible documents (e.g., quarto), experience working with collaborative coding platforms (e.g., git), probabilistic programming languages
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/programming background; Education or experience analyzing data using SAS, R, Python and/or other statistical software; Education or experience managing and analyzing large data sets from complex survey designs
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). Degree must have been received within the past five years. Preferred skills: Programming and analytical skills in SAS, SUDAAN, Stata, R, Python, or related data manipulation and analysis software Strong
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analytical skills in SAS, SUDAAN, Stata, R, Python, or related data manipulation and analysis software Experience analyzing complex surveys, developing cohort analyses, and testing health outcomes in cross