Public Health Data Analyst

Responsibilities

• Assess population-based data strengths and limitations
• Develop study cohorts using government and commercial claims datasets
• Develop, test, and refine de-duplication and weighting methods
• Conduct prevalence, mortality, incidence, subgroup, sensitivity, and longitudinal analyses
• Review, QC, and reanalyze findings
• Coordinate and combine data sources as needed
• Identify the need for and conduct new analyses as needed
• Document reproducible methods and findings
• Produce error-free tables, figures, and maps
• Provide statistical consultation, capture lessons learned, present updates, and contribute to journals, reports, and meetings

Required Qualifications

• Master's degree in statistics, biostatistics, epidemiology, public health, or a related quantitative discipline
• 3+ years of applicable work experience
• Experience working with CMS datasets
• Experience working with large government and commercial claims-based datasets
• Proficiency in SQL, SAS, R, and Python
• Experience with population-based data analysis, weighting methodologies, and longitudinal analyses
• Experience using Databricks or similar cloud-based analytics platforms
• Strong quality control practices and attention to detail
• Strong collaboration and communication skills

Preferred Qualifications

• Experience with public health surveillance data
• Experience with Truveta and/or HealthVerity data platforms
• Experience using AI-enabled tools and methods to analyze large commercial and government healthcare datasets
• Experience integrating and analyzing multiple healthcare and public health data sources