Real-World Data Programmer

Job Summary

Working remotely, the full-time Real-World Data Programmer will execute observational database analytics and evidence synthesis, utilizing Electronic Health Records and claims-based data to produce high-quality deliverables with minimal supervision.

Key responsibilities

• Execute Real-World Evidence studies and analyses using various healthcare-related databases
• Create organized and reusable programming codes applicable to ongoing and future projects
• Generate interpretable deliverables such as data tables, graphs, and study reports based on established protocols

Required qualifications

• Minimum MS in statistics, biostatistics, data science, applied mathematics, computer science, or a related field
• At least 2 years of hands-on programming experience with longitudinal and administrative databases
• Professional programming skills, with SAS/Python experience preferred
• Familiarity with basic statistical concepts and techniques, such as hypothesis testing and regression analysis
• Experience with version control systems like Git and AWS services is a plus