Data Manager - SAS​/Python

Peers and Partners, Inc., is seeking an experienced Data Manager to support a CDC-funded project focused on the analysis, management, and use of hospital discharge data. The Data Manager will work closely with state-funded jurisdictions to provide data management, statistical analysis, technical assistance, and problem-solving support related to the collection, processing, quality assurance, analysis, and reporting of hospital discharge data.

The ideal candidate will have strong hands‑on experience with SAS and Python, demonstrated public health data management and analytical capabilities, and the ability to work collaboratively with state and jurisdictional partners. The position requires someone who can translate complex data issues into practical solutions and provide clear technical guidance to partners with varying levels of data and analytical expertise.

This is a fully remote, part‑time position (32 hours/week) supporting the project for up to 12 months.

• Provide data management, analysis, and technical assistance to state‑funded jurisdictions working with hospital discharge data.
• Support the receipt, processing, cleaning, validation, transformation, and analysis of large and complex public health datasets.
• Use SAS and Python to conduct data management, statistical analysis, data quality assessment, validation, and reporting activities.
• Develop, modify, and maintain SAS programs, Python scripts, data pipelines, analytical processes, and related documentation.
• Conduct data quality checks and identify missing, inconsistent, or anomalous data; work with jurisdictions to investigate and resolve identified issues.
• Provide technical assistance to jurisdictions regarding data submission requirements, data structures, coding, processing, analysis, and interpretation.
• Work directly with state and jurisdictional data partners to troubleshoot data issues and provide practical recommendations.
• Assist with development of data specifications, validation rules, data dictionaries, analytical methodologies, and standard operating procedures.
• Analyze hospital discharge and related health data to identify trends, patterns, disparities, and other findings relevant to public health surveillance and program objectives.
• Support development of tables, figures, reports, dashboards, presentations, and other data products for technical and non‑technical audiences.
• Translate analytical findings into clear and actionable information for project staff, jurisdictions, and federal stakeholders.
• Participate in virtual meetings, technical assistance sessions, work groups, and project discussions with state and federal partners.
• Maintain clear documentation of analytical methods, data management procedures, decisions, and technical assistance provided.
• Collaborate with epidemiologists, statisticians, data analysts, program staff, and other project team members.
• Contribute to continuous improvement of data management and analytical processes.
• Perform other data management and analytical activities as required to support project objectives.

• Bachelor’s degree in public health, epidemiology, statistics, biostatistics, data science, computer science, health informatics, or a related field; advanced degree preferred.
• 3+ years of professional experience in public health data management, epidemiology, biostatistics, health data analytics, or a related field.
• Strong hands‑on experience using SAS for data management and statistical analysis.
• Strong hands‑on experience using Python for data manipulation, analysis, automation, or related data science activities.
• Experience working with large, complex datasets and performing data cleaning, quality assurance, validation, and transformation.
• Experience…