RWE Analyst (Real-World Evidence)

About This Course

An RWE (Real-World Evidence) Analyst in the healthcare and life sciences industry focuses on analyzing real-world data from sources such as electronic health records, claims data, and patient registries to generate clinical and business insights. This course equips learners with the skills to clean, analyze, and interpret healthcare datasets to support research, treatment effectiveness studies, and policy decisions. Participants gain hands-on experience with tools like Excel, SQL, and BI dashboards, along with exposure to statistical analysis techniques. The program emphasizes real-world data analysis, outcomes research, and evidence generation in healthcare settings. Learners will understand how to evaluate treatment patterns, measure outcomes, and support data-driven decision-making for healthcare providers and organizations. By the end of the course, they are prepared for roles in healthcare analytics and research, with career progression into clinical analytics, health economics, and data science leadership positions.

Key Responsibilities

• Analyze real-world healthcare data from claims, EHRs, and registries
• Design and execute observational studies
• Evaluate treatment effectiveness and patient outcomes
• Develop statistical models and evidence-generation frameworks
• Conduct comparative effectiveness and health outcomes research
• Clean, validate, and integrate healthcare datasets
• Prepare reports, dashboards, and scientific publications
• Support regulatory, market access, and commercial decisions
• Collaborate with clinical, epidemiology, and medical affairs teams
• Provide evidence-based insights to improve patient care and healthcare strategies

Growth Path

Tools Used

Perfect For

Life Sciences Graduates | Public Health Professionals | Biostatisticians | Epidemiologists | Clinical Research Professionals | Pharmacists | Healthcare Data Analysts | Medical Affairs Professionals | Biotechnology Graduates | Early-Career Healthcare Analytics Aspirants

Fee Structure