Job Title: Senior Real-World Evidence (RWE) Analyst About the Role: We are seeking a highly skilled and experienced Senior Real-World Evidence (RWE) Analyst to join our growing data science team. This position plays a pivotal role in generating real-world insights to inform clinical development, regulatory submissions, market access, and post-market surveillance activities. You will be working with large-scale healthcare datasets to uncover meaningful trends and outcomes that drive decision-making across the organization. Key Responsibilities: • Design, develop, and execute advanced RWE analytics to support product lifecycle management. • Clean, manage, and analyze structured and unstructured healthcare data (EHR, claims, registry, etc.). • Apply statistical methods and advanced analytics (including predictive modeling and machine learning) using R, Python, SQL, and SAS. • Collaborate cross-functionally with clinical, medical affairs, HEOR, regulatory, and commercial teams. • Create intuitive data visualizations and dashboards using tools such as Tableau, Power BI, or similar. • Support development and maintenance of scalable data pipelines and cloud-based analytic platforms. • Ensure analytic approaches adhere to industry standards and comply with regulatory guidance. Required Qualifications: • Minimum 7 years of experience in the pharmaceutical, biotech, or healthcare industry focused on RWE, epidemiology, or health data science. • Proficient in R, SQL, SAS, and Python for statistical modeling and data manipulation. • Demonstrated expertise working with real-world data sources (e.g., claims, EMR, registry, wearables). • Hands-on experience with data visualization tools (e.g., Tableau, Power BI, ggplot2, matplotlib). • Familiarity with cloud storage and computing platforms (e.g., AWS, GCP, Azure). • Strong understanding of data governance, patient privacy laws (HIPAA, GDPR), and data de-identification. • Excellent communication skills with the ability to translate complex analyses into actionable insights. Preferred Qualifications: • Master’s or PhD in Epidemiology, Biostatistics, Data Science, Health Informatics, or a related field. • Knowledge of clinical development processes and regulatory standards (e.g., FDA, EMA guidance on RWE). • Experience working in agile, cross-functional teams with a focus on delivering high-impact results.