Leading the development and execution of research and analytics, the full-time Applied Real-World Data Scientist with RWE Expertise will collaborate remotely with cross-functional teams to generate actionable insights and recommendations for high-value medication use, utilizing advanced analytical methods and real-world evidence. Key responsibilities Develop reusable analytical frameworks and automated workflows to enhance scalability and efficiency across Evio Insights Design and execute RWE projects, including observational studies and predictive modeling, focusing on patient outcomes and medication utilization Create reporting and data visualizations to summarize the impact of recommendations and assess cost-savings potential for health plans Required qualifications 5+ years of experience in healthcare analytics, real-world evidence, health economics, or data science Proficiency in SQL and experience with at least one analytical programming language, such as Python or R Experience with machine learning and advanced analytical methods, including predictive modeling and unsupervised learning Strong background in designing statistical comparisons and analytical plans for various use cases Ability to communicate technical information effectively to diverse audiences, including executives and clinicians