The Epidemiologist III serves as a member of the Advanced Analytics Team within the Agency Analytics Unit (AAU) in the Center for Health Statistics (CHS). This position is responsible for the gathering, compilation, collection, management, analysis, visualization, and dissemination of public health data, with a strong emphasis on data quality, accuracy, consistency, and usability. The Epidemiologist III collects, queries, and analyzes public health data using standard statistical tools, applications, methods, and techniques. This role actively assesses data quality across the data lifecycle, including evaluating completeness, validity, timeliness, and reliability of data from multiple sources. Identifies data anomalies, gaps, and inconsistencies, and works collaboratively with AAU team members to resolve data quality issues and improve data integrity. Contributes to the development and maintenance of data dictionaries and standard operating procedures related to data management and quality assurance. Manages and analyzes large and complex datasets to disseminate high quality data products. Publishes public health data on websites and platforms, including dashboards, reports, presentations, fact sheets, and other analytic products, ensuring that outputs are accurate, reproducible, and aligned with approved data standards and quality expectations. Responds to data and other special requests from other DSHS, HHSC, or external programs. Consults with internal and external customers to identify data analytics needs. Expertise with data analysis and visualization tools (such as SAS, Tableau, R, Python) is highly desired. Initiative and project management skills are important, including the ability to manage data related tasks independently while coordinating with team members and stakeholders. Excellent communication and advanced technical skills are required to explain data, methods, and limitations to both technical and non-technical audiences. The Epidemiologist III works under minimal supervision, with extensive latitude for initiative and independent judgment in analytical and data quality decisions. Prior experience working with epidemiological or public health data is highly desired.
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Job Type
Full-time
Career Level
Mid Level