Hybrid Epidemiologist: Overdose Surveillance & Analytics

Automatic Data Processing, Inc.; Phoenix (AZ); Hybrid; USD 55,000 - 75,000; Full time

Job summary

The CDC Foundation in Phoenix, AZ seeks an epidemiologist to join the OD2A Capacity Building Initiative. The role supports surveillance, data analysis, and public health reporting with state and local partners.

Responsibilities include refining surveillance data processing, developing automated detection, maintaining dashboards, and presenting findings to stakeholders. A Master’s degree and 2+ years of analytic experience are required, with strong SAS/SQL skills and excellent communication.

Qualifications

• Master’s degree in public health or related field.
• At least 2 years leading analysis of qualitative and quantitative data.
• Able to publish in peer‑reviewed journals and present at conferences.
• Proficient in SAS; familiarity with SQL.
• Strong communication and collaboration with diverse stakeholders.

Responsibilities

• Refine epidemiology surveillance data processing with OD2A partners.
• Develop automated population-spike detection using syndromic data.
• Maintain public dashboards and fulfill data requests.
• Validate non-fatal overdose data quality in MEDSIS.
• Create state fact sheets, reports, and visualizations.
• Conduct literature reviews on overdose topics.
• Present findings to internal and external partners.
• Advise on OD2A data use for action.
• Coordinate with CDC and Arizona DOH stakeholders.
• Support disease control policy development.

Skills

Epidemiology analysis

Public health

Written communication

Team collaboration

Independent work

Education

Master’s degree

Public health degree

Tools

SAS

SQL

Excel

PowerBI

Google Suite

Zoom

Job description

The CDC Foundation in Phoenix, AZ seeks an epidemiologist to join the OD2A Capacity Building Initiative. The role supports surveillance, data analysis, and public health reporting with state and local partners.

Responsibilities include refining surveillance data processing, developing automated detection, maintaining dashboards, and presenting findings to stakeholders. A Master’s degree and 2+ years of analytic experience are required, with strong SAS/SQL skills and excellent communication.