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ownership of quantitative projects, including but not limited to identifying and evaluating data sources, preparing data for analysis, applying appropriate methods to draw inferences from data, and conducting
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value and accessibility; Leveraging specialist expertise (NLP, network analysis, web scraping) to develop, evaluate, and deploy novel solutions over large datasets; Drawing substantive inferences from
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well as expertise in population science research including applied methodology in health program design, and evaluation, community-based participatory studies, e.g., cluster studies and causal inference. The DBBB is
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Expertise in quantitative modeling, computational and/or Bayesian methods Expertise using at least one programming languages in the analysis of scientific data such as R, Python, Matlab, or Julia. Expertise
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well as expertise in population science research including applied methodology in health program design, and evaluation, community-based participatory studies, e.g., cluster studies and causal inference. The DBBB is
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for analysis, applying appropriate methods to draw inferences from data, and conducting reviews of code and analysis Writing and otherwise contributing to CSET research Developing data visualizations for use in