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, and analytic workflow development. 2. Proficiency with statistical and programming tools such as R, Python, SQL, SAS, or comparable platforms. 3. Strong understanding of data privacy, security
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primary career focus. Hands-on coding and visualization expertise in R and Python augmented by new AI capabilities to support an applied researcher/student with cutting-edge use of data science and AI
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statistical software such as Stata, R, Matlab, or Python; (ii) have a strong quantitative background; (iii) be able to work independently to solve problems; and (iv) have a long-term interest in pursuing
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related field. Experience with the Python programming language and the command line interface is required. Experience with one or more of the following is desired: statistical and theoretical population
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range of constituencies in a complex and diverse setting ● Proficiency with statistical computing (e.g., R, Python or C/C++) ● Demonstrated capacity to work both collaboratively and
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world healthcare data as part of the Public Health Data Science and Data Equity Initiative ● Coding and visualization in R/Python ● Planning, conducting and overseeing comprehensive statistical