Develops and refines codebooks for qualitative data (interviews, focus groups) Conducts qualitative coding using Dedoose Assists with thematic and framework analysis of stakeholder perspectives on elective induction practices Assists with thematic and framework analysis of feedback on a shared decision-making tool Supports participatory data interpretation across study teams Creates clear, publication-quality charts, graphs, and tables to communicate findings Assists with data collection procedures for the stepped-wedge cluster randomized trial Manages and cleans quantitative datasets, ensuring data integrity and proper documentation Performs statistical analyses appropriate to stepped-wedge and clustered designs Maintains organized, reproducible data management practices (data dictionaries, version control, secure storage) suitable for a multi-site trial Creates clear, publication-quality charts, graphs, and tables to communicate findings, including stepped-wedge design/rollout visualizations Assists in drafting manuscript sections (methods, results, literature review) Leads manuscript development as interested/appropriate Helps prepare figures, tables, and supplementary materials for submission Supports development of visual summaries for presentations, manuscripts, and Consortium partner updates Assists with responding to reviewer feedback and revision processes Supports preparation of conference abstracts and presentations Presents posters and give talks as interested/appropriate Maintains organized project files and documentation Attends and contributes to research team meetings Supports IRB/ethics documentation and compliance as needed Performs other duties as required or assigned. The Consortium spans seven states (Vermont, New Hampshire, Maine, Colorado, Georgia, West Virginia, and Nebraska) and is currently conducting three complementary studies on elective induction of labor (eIOL39): A national analysis of eIOL39 in rural areas using Medicaid claims data.