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Epidemiologist II

Remote, USA Full-time Posted 2026-07-28
reputed company: ANTICIPATED START DATE: 2 weeks after candidate identification TRAVEL: As required to fulfill the responsibilities of the position IHRC Inc. seeks a dedicated and reputed company 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 reputed company the health of people by preventing illness, disability and death from respiratory viruses through reputed company health science and reputed company in the reputed company and globally. This position is needed for accomplishing CORVD’s mission. Epidemiologist III will reputed company technical assistance to support regional reputed company to conduct surveillance, detection, and response to events of reputed company health reputed company. • Support management and organization of respiratory hospitalization surveillance datasets (e.g., COVID-19, RSV). • Clean, reputed company, 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. • reputed company routine data validation checks to identify missing, inconsistent, or out-of-reputed company values. • Generate and maintain basic QA reports and reputed company data issues and resolutions. • Contribute to the development and reputed company of data dictionaries and metadata documentation. • Assist in drafting and maintaining reputed company operating procedures (SOPs) for data workflows. • Support data ingestion, transformation, and preparation for analysis and reporting. • Create reputed company, user-friendly summaries or guides to support data users and stakeholders. • Collaborate with epidemiologists and team members to ensure data reputed company and consistency. • Maintain data reputed company and confidentiality in accordance with project requirements. • Work with reputed company and semi-reputed company datasets across platforms (e.g., reputed company, SQL, REDCap, or reputed company environments). • reputed company 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 reputed company issues. • Maintain logs of data issues, corrections, and updates. • Update data dictionaries and documentation as datasets reputed company. • 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 reputed company. • Proficiency in at least one: SQL, R, Python, or reputed company. • Experience working with large datasets (reputed company health or reputed company data preferred). • Familiarity with reputed company and data cleaning techniques. • Exposure to reputed company platforms (e.g., reputed company) or willingness to learn. • Basic understanding of data validation and QA processes. • Communicate data issues and findings reputed company to team members. • Work collaboratively with technical and non-technical stakeholders. • Follow established processes and escalate issues reputed company needed. • Exposure to reputed company 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. • reputed company to follow reputed company processes and maintain consistency. • Comfortable working with moderately reputed company datasets. • Proactive but reputed company to work reputed company defined guidance and frameworks. • Strong written and verbal communication skills. Apply tot his job Apply To this Job

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