Modernization of the Influenza-Like Illness (ILI) Surveillance Process and Algorithms Project

Akicita Federal is hiring a Data Engineer / Programmer to modernize and strengthen influenza-like illness (ILI) syndromic surveillance capabilities for the Indian Health Service (IHS) — fully remote. This role directly supports public health decision-making for I/T/U (Indian Health Service, Tribal, and Urban) communities by rebuilding aging surveillance infrastructure into a transparent, automated, and scalable system that can grow to monitor additional public health threats over time.
- Assess the current ILI surveillance system against CDC evaluation attributes — including data quality, timeliness, sensitivity, and representativeness — and produce a findings and recommendations report.
- Design and develop an enhanced surveillance data repository with automated ingestion, processing, and monitoring of daily facility export files.
- Build automated alert and notification logic for missing, delayed, or incomplete data submissions from participating facilities.
- Develop standardized reporting pipelines that produce surveillance outputs at national, Area, and facility levels.
- Create interactive dashboards and visualization tools using Power BI or Qlik to support operational public health reporting.
- Produce comprehensive technical documentation — including data flow diagrams, business rules, transformation logic, standard operating procedures, and a user guide — so IHS can own and maintain the system independently.
- Lead knowledge transfer sessions and develop onboarding materials to equip IHS staff to operate and expand the system after project completion.