Epidemiologist II

ANTICIPATED START DATE: 2 weeks after candidate identification

TRAVEL: As required to fulfill the responsibilities of the position

IHRC Inc. seeks a dedicated and experienced Epidemiologist II to support our clients at Centers for Disease Control and Prevention (CDC)/Coronavirus and Other Respiratory Viruses Division (CORVD). CORVD’s mission is to provide the health of people by preventing illness, disability and death from respiratory viruses through public health science and practice in the United States and globally. This position is needed for accomplishing CORVD’s mission. Epidemiologist 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.