Senior Manager- RWE

• Develop and execute comprehensive RWE strategies by leading the end-to-end process of study conceptualization, including protocol development, statistical analysis planning, and implementation of complex observational studies utilizing advanced epidemiological methods.
• Lead teams in designing and implementing sophisticated cohort identification algorithms using structured and unstructured data, and direct large-scale data projects using multiple real-world data sources by overseeing data extraction, cleaning, and standardization while ensuring compliance and data reproducibility.
• Guide the implementation of advanced statistical methods for confounding control and bias mitigation and oversee the development and validation of models for patient stratification, treatment response prediction, and adverse event detection.
• Develop and maintain strategic partnerships with external stakeholders (key opinion leaders, data vendors, technology partners) while leading the evaluation and selection of fit-for-purpose data sources, analytical tools, and platforms.
• Establish and implement standard operating procedures for the RWE practice, including documentation standards, quality control processes, and validation requirements.
• Manage direct reports; Coach & Mentor junior team members in advanced analytical methods and oversee the development of reusable analytical frameworks and code libraries.
• Monitor and optimize project performance metrics (financial, operational, compliance), implement corrective actions, and maintain comprehensive documentation for audits.

Qualification-

• Advanced degree (PhD, MD, PharmD) with focus in biostatistics, epidemiology, or related quantitative field
• 8-10+ years of hands-on experience in health data science and real-world evidence generation with strong understanding of statistical concepts and methodologies
• Demonstrated expertise in observational research methodology and causal inference
• Strong track record of leading complex analytical projects using healthcare databases
• Experience with regulatory-grade real-world evidence studies