Public Health Data & Documentation Specialist

About the role

This position supports public health data and documentation activities focused on program and surveillance system maintenance, data processing, quality assurance, documentation generation, reporting, and workflow improvement. The Public Health Data & Documentation Specialist maintains accurate and complete program records and supports data-driven public health activities through the management, validation, and documentation of structured data and related products. The successful candidate will update and maintain program, surveillance, and tracking systems; process and validate structured data files; generate individualized letters, status summaries, documentation packets, and other program products; and conduct data cleaning, merging, deduplication, and quality assurance. This role also supports reproducible workflows, documentation standards, project coordination, discrepancy resolution, and the secure handling of personally identifiable and health information.

Responsibilities

• Pilot new or revised workflows using test, historical, or otherwise approved data; document issues and unresolved decisions; and prepare workflows for routine implementation.
• Update and maintain program, surveillance, and tracking systems to ensure records are current, complete, and accurate.
• Ingest structured data files and apply program-defined business rules to generate individualized letters, status summaries, documentation packets, and other products for system attachment, partner review, and public health follow-up.
• Validate generated documentation products against source records before release, upload, or attachment.
• Manage data files, documentation packets, generated letters, issue logs, partner submissions, and final records in approved systems and secure storage locations.
• Develop and maintain reproducible workflows in R, R Markdown, Power BI, Excel, Microsoft Access, or comparable tools to support data processing, documentation generation, quality assurance, and reporting.
• Track workflow volume, outstanding records, exceptions, completeness, turnaround time, and other program-defined measures and provide routine status summaries.
• Conduct data cleaning, merging, deduplication, validation, quality assurance, and preliminary descriptive analyses in R, SAS, or comparable