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experience with the analysis of claims/encounter data. Strongly prefer an understanding of Medicaid, Medicare, and/or private healthcare claims data systems. Strong proficiency in SAS, SQL, R, and Python
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(e.g., SAS, STATA, R) to identify trends, disparities, and emerging issues requiring intervention. Essential Function Yes Percentage of Time 10 Position Attributes Hazardous weather category Non
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to at least the intermediate level of multiple regression Computer literacy with knowledge of at least one statistical software package (e.g., R, Mplus, Stata, SAS) Working collaboratively and effectively with
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like R, Matlab or Python. Ability to carry out statistical analyses of data. Job Duties Job Duty Analyze ECOSTRESS radiance data and test calibration correction and noise reduction methods. Essential
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certificate Preferred Qualifications Experience with analytical software (SPSS, R, NVivo) and statistical knowledge and applications Experience with survey design and working on funded research projects
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training in conducting systematic reviews Experience with data visualization and data analysis Knowledge of Python and R Demonstrated involvement in professional activities, including evidence of ability
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) Expertise with electronic health data is a plus. Knowledge/Skills/Abilities Proficiency in statistical software such as R, SAS, SPSS, or Python, and a strong understanding of statistical methodologies and
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willing to travel internationally for approximately 2 weeks each year. Preferred Qualifications Publication record using advanced predictive modeling techniques. Advanced knowledge of R, Python, or other
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willing to travel internationally for approximately 2 weeks each year. Preferred Qualifications Publication record using advanced predictive modeling techniques. Advanced knowledge of R, Python, or other
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training in conducting systematic reviews Experience with data visualization and data analysis Knowledge of Python and R Demonstrated involvement in professional activities, including evidence of ability