SAS Programmer

Akicita Federal

. Assess the current ILI surveillance system against CDC evaluation attributes, including data quality, timeliness, sensitivity, and representativeness, and produce a findings and recommendations report.

Posted 10/7/2026full-timeRemote • United StatesMid-LevelSenior💰 $85 - $95 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing automated data pipelines and ETL workflows for public health surveillance, with proficiency in data visualization tools like Power BI or Qlik. Strong ability to produce technical documentation and collaborate effectively with diverse stakeholders in a healthcare context.

Highest-signal resume keywords

Automated Data Pipeline DevelopmentETL Workflow DesignPower BI Dashboard CreationTechnical Documentation DevelopmentSyndromic Surveillance Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonRSQLData ProcessingData AutomationData VisualizationData GovernanceData SecurityTechnical DocumentationAutomated Monitoring Frameworks

Soft Skills

CollaborationStakeholder EngagementKnowledge Transfer

Tools & Technologies

Power BIQlik

Industry Keywords

Public HealthSurveillance SystemsEpidemiologic DataIHSTribal HealthUrban Indian HealthCDC GuidelinesData CompletenessHealth Data SystemsUS Citizenship

Tech Stack

Tools & technologies

ETLPythonSQL

About the role

Key responsibilities & impact

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.
Modernize and strengthen influenza-like illness syndromic surveillance capabilities for the Indian Health Service and support public health decision-making for I/T/U communities.

Requirements

What you’ll need

Demonstrated experience designing and developing automated data pipelines and ETL workflows for public health, surveillance, or epidemiologic data systems.
Proficiency in programming languages and scripting used for data processing and automation (e.g., Python, R, SQL, or equivalent).
Experience building dashboards and data visualizations using Power BI or Qlik.
Ability to develop and maintain technical documentation, including data flow diagrams, data dictionaries, business rules, and standard operating procedures.
Experience working with health data systems and an understanding of data governance, privacy, and security requirements in a government or healthcare context.
Demonstrated ability to collaborate across multiple organizational levels and with technical and non-technical stakeholders.
Ability to work fully remotely and deliver on structured milestone-based timelines.
MUST BE US CITIZEN
Prior experience supporting syndromic surveillance, epidemiologic analytics, or public health informatics, particularly systems aligned with CDC surveillance guidelines or cooperative agreement programs.
Familiarity with IHS, Tribal, or Urban Indian health program data environments or I/T/U reporting workflows.
Experience modernizing legacy public health data systems, including assessing system performance against CDC surveillance evaluation attributes.
Background developing automated monitoring frameworks that detect data completeness issues, reporting gaps, or participation anomalies.
Experience producing system roadmaps or expansion plans that enable non-technical program staff to carry work forward independently.