Public Health Informatics Specialist (Grant Funded)

Public Health Informatics Specialist (Grant Funded) 

Annual Salary: $81,702.40 - $106,246.40
Deadline to Apply: Tuesday, September 15, 2026

Position Information: 

The Public Health Informatics Specialist (Grant Funded) provides professional informatics, data support and analysis for assessment and research to promote improved public health outcomes; develops informatics systems and platforms; and performs related work as required.

Please click here for the Total Compensation Package for this job classification which includes county paid employee health benefits after 30 days of employment, county paid retirement benefits, vacation accruals, etc. The Total Compensation Package outlines the various benefits offered by Washoe County and the annual earnings based on the entry level salary for the job classification.

Minimum Qualifications:
Two years of full-time experience in health informatics and analysis in a public health, human services, or closely related agency AND a bachelor’s degree from an accredited college or university in computer science, data sciences, informatics, or a closely related field; OR an equivalent combination of training and experience.

License Or Certificate: 

A valid driver's license is required at the time of appointment and must be maintained for continued employment in this classification.

The Ideal Candidate Will:

Reporting to the Statistics and Informatics Supervisor in the Population Health Division, the ideal candidate for the Public Health Informatics Specialist position will bring advanced expertise in data science and GIS frameworks. The candidate will lead the ingestion, analysis, and spatial modeling of large health datasets, utilizing a robust technical stack that includes Python libraries, ArcGIS Pro/Enterprise, SQL, and R. The selected professional must be detail-oriented, solutions-driven, and capable of building automated data pipelines, engineering predictive models, and designing advanced spatial visualizations. They should bring proven experience in translating complex data science outputs into actionable public health insights, mapping intricate data flows, supporting automated disease surveillance systems, and deploying interactive dashboards like Power BI to optimize data governance and public health decision-making.