Epidemiologist III
Texas Department of State Health Services · Austin, TX · 3 wk ago
Analyst$5k–$7k/moFull-time
Brief Job Description
The Epidemiologist III under the direction of the Data Management and Analytics Group Manager performs advanced senior-level epidemiological work related to HIV/HCV/STD data management and analyses. This includes assisting with the planning and execution of epidemiological and surveillance projects, collecting and analyzing data, and providing research and technical assistance to HIV/HCV/STD program areas.
Essential Job Functions (EJFs)
- (30%) Conducts HIV/HCV/STD research investigations, surveillance and assessment based on standard scientific methods, programmatic needs or new/innovative approaches. Provides research and technical assistance to HIV/HCV/STD program areas regarding epidemiological methods, research/surveillance design, and program evaluation assessment of public health practices. Prepares data to be uploaded to a web-based query system as needed.
- (30%) Assists to provide HIV/HCV/STD data to policy makers, public health practitioners, internal and external partners and the public.
- (15%) Conducts analyses of survey collected data. Applies appropriate advanced statistical and/or analytical procedures. Current projects focus on HIV/HCV/STD behavioral risk factors, testing, treatment, transmission, medical care and clinical outcomes.
- (15%) Participates in epidemiological and surveillance HIV/HCV/STD project activities including, development of local survey questions, development and review of survey formative assessment and medical chart abstractions.
- (5%) Presents results and findings of studies to appropriate audiences. Assists with the reviews of reports, manuscripts, and other documents for accuracy in content, statistics and interpretation of data.
- (5%) Other duties as assigned include but are not limited to: actively participating and/or serving in a supporting role to meet the agency's obligations for disaster response and/or recovery or Continuity of Operations (COOP) activation. Such participation may require an alternate shift pattern assignment and/or location.
Knowledge, Skills, and Abilities (KSAs)
- Knowledge of major functions of public health.
- Knowledge of statistical analyses concepts, database management and their applications to public health surveillance and research.
- Knowledge of the health status, socioeconomic and demographic measures used in public health.
- Knowledge of population, socioeconomic and health outcomes data sources.
- Knowledge of programming logic and scripting.
- Knowledge of human subjects protections and issues of confidentiality.
- Knowledge of Human Immunodeficiency Virus (HIV) and other infectious diseases.
- Skill in the use of computers and software relevant to data collection and data analyses e.g. NEDSS Based System, Excel, PowerPoint, Epi Info, SPSS, and Access.
- Skill in using Internet publishing/graphics presentation software such as Tableau.
- Skill in using SAS, and in writing syntax to perform analyses.
- Skill in verbal and written communications.
- Skill in working with sensitive personal health information.
- Ability to understand, organize, manipulate, manage complex data and query complex databases.
- Ability to use population data for public health planning and evaluation.
- Ability to organize and prioritize work and meet deadlines.
- Ability to exercise independent judgment and show initiative.
- Ability to communicate effectively with data users and coworkers.
- Ability to interpret public health laws, rules, regulations, and recommendations related to HIV/HCV/STD.
- Ability to understand, organize, manipulate, and maintain complex data.
- Ability to work effectively independently and as part of a team.
Initial Selection Criteria
- Master’s Degree in Public Health (MPH) or closely related field (e.g., MSPH, MHA, Biostatistics) with relevant coursework in Epidemiology or Biostatistics required.
- Minimum of 2 years of professional experience in data management and analysis with large public health datasets using advanced statistical software, such as SAS, R, Stata, or Python.