Jobs · Analyst · Texas

HIV Prevention Epidemiologist III

Analyst$5k–$7k/moFull-time

Date: Oct 2, 2026 • Location: AUSTIN, TX

About the role

This position is located in the HIV/STD Prevention Unit and requires specialized knowledge of health behaviors related to HIV and STD transmission. Under the supervision of the Planning and Prevention Analytics Manager, the Epidemiologist III designs and implements statistical analyses appropriate for epidemiologic and programmatic data with a focus on HIV and STD prevention programming. The position designs data collection processes, coordinates data collection, and develops and maintains programmatic databases. The position provides oversight, technical assistance, and data support to HIV prevention contractors. The position authors DSHS-published reports, creates program briefs, and researches articles based on analysis of epidemiologic and program data. The position designs and implements research studies based on programmatic need. Provides guidance and assistance to internal staff and contracting sites on performance monitoring for selected HIV prevention programs. Authors portions of HIV prevention grant applications and progress reports, including working as a team to update progress towards goals and program indicators. Works closely with data management staff to coordinate data collection and analysis. Coordinates efforts with other program staff, working as a team on all phases of epidemiologic, planning, and evaluation functions.

Responsibilities

  • Design and implement manual and electronic (ex. SAS or R coding) processes to ensure the completeness and quality of data from HIV prevention contractors' monthly data submission. Develop procedures that include the monitoring of prevention contractors' compliance with data submission, data security, and data quality. Consult with HIV prevention contractors, including Federally Qualified Health Centers, hospital administrators, Community-Based Organizations, and regional and local health department administrators on data quality to reduce submission errors and improve reporting. (30%)
  • Design or improve electronic processes to match HIV prevention data with other datasets, including eHARS, THESIS, TCT, and other analysis files, to improve data completeness in federal data submissions and identify programmatic areas for improvement. Design and maintain electronic data dashboards monitoring program outcomes for Unit and Section leadership. (20%)
  • Propose, initiate, and lead studies

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