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preferable. Working knowledge of analytics tools such as R and R Shiny, Tableau, or Power BI will be given preference in consideration. Prior experience or knowledge of Applied Data Analytics and Data Science
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Education: Advanced degree. Experience: Experience conducting applied research or evaluation. Proficiency in statistical software and data analysis tools (e.g., R, Python, SPSS, Stata). Strong writing skills
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techniques in data analysis. Familiarity with statistical analysis packages such as Stata, R, or Python. Advanced knowledge of research techniques and methods in relevant scientific field. Preferred
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Microsoft Office 365. Proficiency in Python, R, SQL, or other statistical programming languages. Experience with data visualization platforms such as Tableau or Power BI. Preferred Competencies Strong
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or supporting trainee research (e.g., residents, fellows). Prior experience working in an academic medical center or research institute setting. Preferred Competencies Proficiency in statistical software (e.g., R
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working with image data or unstructured text data with large language models. Preferred Competencies Proficiency in Python, R, SQL, or other statistical programming languages. Experience with data
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or unstructured text data with large language models. Proficiency in Python, R, SQL, or other statistical programming languages. Experience with data visualization platforms such as Tableau or Power BI. Preferred
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Skills or Knowledge: Advanced statistical programming, data querying and manipulation using R, Python, SQL, or other comparable tools and languages. Proficient in the use of Microsoft Excel, and Tableau
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.. Research techniques or methods – operant behavior in rodents, survival surgery in rodents, genotyping animals. Knowledge of regulatory policies and procedures. Some experience with Matlab, Python, or R
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and disinvestment are encouraged to apply Experience working with large and complex datasets Proficiency with one or more statistical coding languages, such as R, Stata, or Python Familiarity with Git