Job Type
Full-time
Description
ANTICIPATED START DATE: 2 weeks after candidate identificationTRAVEL: As required to fulfill the responsibilities of the positionEpidemiologist III will provide technical assistance to support regional capacity to conduct surveillance, detection, and response to events of public health significance.
- Support management and organization of respiratory hospitalization surveillance datasets (e.g., COVID-19, RSV).
- Clean, merge, and maintain datasets from multiple sources to ensure consistency and usability.
- Assist in aligning variables, standardizing naming conventions, and reconciling discrepancies across datasets and time.
- Perform routine data validation checks to identify missing, inconsistent, or out-of-range values.
- Generate and maintain basic QA reports and track data issues and resolutions.
- Contribute to the development and upkeep of data dictionaries and metadata documentation.
- Assist in drafting and maintaining standard operating procedures (SOPs) for data workflows.
- Support data ingestion, transformation, and preparation for analysis and reporting.
- Create simple, user-friendly summaries or guides to support data users and stakeholders.
- Collaborate with epidemiologists and team members to ensure data quality and consistency.
- Maintain data security and confidentiality in accordance with project requirements.
- Work with structured and semi-structured datasets across platforms (e.g., Excel, SQL, REDCap, or cloud environments).
- Perform data cleaning, transformation, and basic harmonization tasks.
- Support merging of datasets and validation of outputs.
- Assist in tracking and documenting changes in data structure over time.
- Execute predefined QA checks and flag data quality issues.
- Maintain logs of data issues, corrections, and updates.
- Update data dictionaries and documentation as datasets evolve.
- Follow established data governance and documentation standards.
Requirements
- MS with 0-5+ years' experience or BA/BS with 5-10+ years' experience.
Desired Qualifications- Experience working with CDC staff at multiple organizational levels.
- Proficiency in at least one: SQL, R, Python, or SAS.
- Experience working with large datasets (public health or healthcare data preferred).
- Familiarity with Excel and data cleaning techniques.
- Exposure to cloud platforms (e.g., Databricks) or willingness to learn.
- Basic understanding of data validation and QA processes.
- Communicate data issues and findings clearly to team members.
- Work collaboratively with technical and non-technical stakeholders.
- Follow established processes and escalate issues when needed.
- Exposure to public health or surveillance data systems.
- Experience with basic automation or scripting for data checks.
- Familiarity with metadata, data dictionaries, or documentation practices.
- Introductory experience with AI-assisted tools for data review or validation.
- Detail-oriented with strong organizational skills.
- Able to follow structured processes and maintain consistency.
- Comfortable working with moderately complex datasets.
- Proactive but able to work within defined guidance and frameworks.
- Strong written and verbal communication skills.
