Jobs · Analyst · Texas

Epidemiologist III

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.

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