Qualifications: Enrollment in Bachelor’s, Master's, or PhD program for informatics, computer science/engineering, biomedical engineering, health information, statistics, or related field; 3.5+ GPA; Analytical thinker with great attention to detail; Ability to work effectively on a sprint schedule; Strong verbal communication skills; Programming experience in R or Python; Clinical research experience is preferred; Experience building web applications is preferred (with either Shiny or Streamlit); and. Responsibilities: Participate in analysts’ evaluation of data needs for assigned projects; Work alongside analysts to contribute innovative data products; Interact with relational data at both study- and enterprise-level inclusive of actions for query, wrangling, analysis, and reporting; Contribute to algorithm development for descriptive, classification, and predictive operational purposes; and.