Data Manager – SAS, Python

This is a fully remote position, open to applicants in United States.

📋 Description

• Deliver data management, analytical support, and technical assistance to state-funded jurisdictions utilizing hospital discharge data.

• Assist in the receipt, processing, cleaning, validation, transformation, and analysis of extensive and intricate public health datasets.

• Employ SAS and Python for data management, statistical analysis, data quality evaluation, validation, and reporting.

• Create, modify, and sustain SAS programs, Python scripts, data pipelines, analytical processes, and accompanying documentation.

• Carry out data quality assessments and explore missing, inconsistent, or anomalous data in collaboration with jurisdictions.

• Offer technical assistance regarding data submission requirements, data structures, coding, processing, analysis, and interpretation.

• Resolve data issues and provide practical recommendations to state and jurisdictional data partners.

• Aid in the development of data specifications, validation rules, data dictionaries, analytical methodologies, and standard operating procedures.

• Analyze hospital discharge and related health data to uncover trends, patterns, disparities, and other public health insights.

• Support the creation of tables, figures, reports, dashboards, presentations, and various other data products.

• Convert analytical results into actionable insights for project staff, jurisdictions, and federal stakeholders.

• Engage in virtual meetings, technical assistance sessions, workgroups, and project discussions with state and federal partners.

• Maintain thorough documentation of analytical methods, data management procedures, decisions, and technical assistance provided.

• Collaborate with epidemiologists, statisticians, data analysts, program personnel, and other project team members.

• Contribute to the ongoing enhancement of data management and analytical processes.

• Execute other data management and analytical tasks as necessary.

⛳️ Requirements

• Bachelor’s degree in public health, epidemiology, statistics, biostatistics, data science, computer science, health informatics, or a related discipline; an advanced degree is preferred.

• A minimum of 3 years of professional experience in public health data management, epidemiology, biostatistics, health data analytics, or a related area.

• Proficient hands-on experience with SAS for data management and statistical analysis.

• Strong hands-on experience with Python for data manipulation, analysis, automation, or related data science tasks.

• Experience working with large, complex datasets, including data cleaning, quality assurance, validation, and transformation.

• Familiarity with healthcare, hospital, claims, surveillance, or other population health datasets.

• Solid understanding of data management principles, encompassing data quality, validation, standardization, documentation, and reproducibility.

• Proven ability to communicate technical information effectively to both technical and non-technical audiences.

• Experience providing technical assistance or support to external partners, organizations, jurisdictions, or stakeholders.

• Strong analytical, problem-solving, organizational, and written communication abilities.

• Capability to work autonomously in a fully remote environment while effectively collaborating with a distributed project team.

• Preferred: experience with medium to large databases.

• Preferred: experience working with state or local health departments or other public health jurisdictions.

• Preferred: experience with public health surveillance, healthcare utilization data, or health services research.

• Preferred: experience with SQL, R, SAS Viya, SAS Enterprise Guide, or similar analytical/data management environments.

• Preferred: experience in developing repeatable data processing workflows or automated analytical processes.

• Preferred: experience providing training, webinars, presentations, or structured technical assistance to public health partners.

• Master’s degree in public health, epidemiology, biostatistics, data science, or a related field is preferred.

🏝️ Benefits

• Fully remote work arrangement.

• Part-time schedule of 32 hours per week.

• Project support for up to 12 months.