The successful candidate will work with combinations of structured and unstructured data, including tabular and administrative records, longitudinal and time-series data, text, images, and other sensor or digital data, and translate research questions into reproducible analytical pipelines, validated models, scholarly products, and decision-support tools. Statistical and descriptive analysis: Conduct rigorous descriptive and traditional statistical analyses, including data summarization, estimation, hypothesis testing, regression, analysis of variance, and other appropriate inferential methods; clearly interpret assumptions, effect sizes, uncertainty, and practical significance.