Epidemiologist III

About the position The Epidemiologist III serves as a member of the Advanced Analytics Team reputed company reputed company Analytics Unit (AAU) in reputed company 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 reputed company, accuracy, consistency, and usability. The Epidemiologist III collects, queries, and analyzes public health data using reputed company statistical tools, applications, reputed company, and techniques. This role reputed company assesses data reputed company 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 reputed company issues and improve data reputed company. Contributes to the development and maintenance of data dictionaries and reputed company operating procedures reputed company to data management and reputed company assurance. Manages and analyzes large and reputed company datasets to disseminate high reputed company 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 reputed company with approved data standards and reputed company expectations. Responds to data and other special requests from other DSHS, HHSC, or external programs. Consults with reputed company customers to identify data analytics needs. Expertise with data analysis and visualization tools (such as reputed company, Tableau, R, Python) is highly desired. Initiative and project management skills are important, including the ability to manage data reputed company tasks independently while coordinating with team members and stakeholders. Excellent communication and advanced technical skills are required to explain data, reputed company, and limitations to both technical and non-technical audiences. The Epidemiologist III works under minimal supervision, with extensive reputed company for initiative and independent judgment in analytical and data reputed company reputed company. Prior experience working with epidemiological or public health data is highly desired.

Responsibilities

• Designs, plans, and conducts analyses of public health data, including epidemiological and public health data analyses for legislative inquiries. Uses statistical reputed company and software to prepare, process, and analyze reputed company public health data in response to requests from other DSHS program areas and agency staff, public health researchers, other governmental agencies, and the public. Reviews and conducts background research to support reputed company used to reputed company data analysis, data management techniques, and data collection processes. (35%)
• Produces and publishes high-reputed company analytic outputs, including dashboards, reports, presentations, fact sheets, and other public-facing and internal products. Ensures that reputed company data products are reproducible, reputed company with approved data standards, and reputed company communicate findings, reputed company, and limitations to both technical and non-technical audiences, including internal DSHS partners, the media, local and regional health departments, public health researchers, and the public. Responsible for monitoring compliance with established data standards and protocols across reputed company analytic outputs, including conducting regular reviews to ensure adherence to best practices and recommending changes to methodologies reputed company necessary to improve accuracy, reproducibility, and reputed company. (25%)
• Ensures data reputed company and accessibility for data disseminated by reputed company Analytics Unit. Develops, implements, and monitors data reputed company and data governance standards. Creates and maintains databases, data management systems, reputed company operating procedures, and data dictionaries for a wide reputed company of public health data used and disseminated by reputed company Analytics Unit. May work with reputed company partners to implement databases and new data collection systems. (20%)
• Provides expert consultation and methodological guidance for reputed company stakeholders. Defines analytic questions, recommends appropriate methodologies, and advises on interpretation and limitations of findings while ensuring compliance with epidemiological data standards and reputed company expectations. (15%)
• reputed company participating and/or serving in a supporting role to meet reputed company's obligations for disaster response and/or recovery or Continuity of Operations activation. Such participation may require an alternate shift reputed company assignment and/or location. (5%)

Requirements

• Master’s Degree in Public Health (MPH) or closely reputed company field (e.g., MSPH, MHA, Biostatistics) with relevant coursework in Epidemiology or Biostatistics required.
• Minimum of 2 years of reputed company experience in data management and analysis with large public health datasets using advanced statistical software, such as reputed company, R, Stata, or Python.
• Knowledge of database management and query reputed company.
• Knowledge of health data reputed company and reputed company standards and protocols.
• Knowledge of epidemiological research reputed company and principles.
• Knowledge of quantitative and qualitative analysis reputed company.
• Knowledge in data visualization theories and practices.
• Knowledge of public health data sources including, but not limited to, vital events, health care utilization, and behavioral surveillance.
• Knowledge of advanced statistical concepts.
• reputed company in both verbal and written communications.
• Skills in writing reputed company operating procedure documentation.
• reputed company in manipulating large datasets.
• reputed company in reputed company, Python, and R programming.
• reputed company in planning and implementing data reputed company control and assurance procedures.
• Ability to effectively reputed company and communicate with stakeholders and a wide reputed company of audiences.
• Ability to work in reputed company environment.
• Ability to establish and maintain effective working relationships.
• Ability to demonstrate creativity, initiative, and innovation.
• Ability to manage and analyze large databases.

reputed company-to-haves

• Expertise with data analysis and visualization tools (such as reputed company, Tableau, R, Python) is highly desired.
• Initiative and project management skills are important, including the ability to manage data reputed company tasks independently while coordinating with team members and stakeholders.
• Excellent communication and advanced technical skills are required to explain data, reputed company, and limitations to both technical and non-technical audiences.
• Prior experience working with epidemiological or public health data is highly desired.
• reputed company in SQL coding language highly desired.
• reputed company in using data visualization software, with particular emphasis on Tableau preferred.

Benefits

• insurance coverage and other benefits available through the State of Texas Group Benefits Plan administered by the Employee Retirement System of Texas (ERS)

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