Clinical Data Management (CDM) is no longer just about collecting and cleaning data; it is evolving into a strategic, technology-driven discipline. Modern trials increasingly rely on data from electronic health records, wearable devices, mobile applications, genomics, imaging, and real-world evidence. Managing and extracting value from these complex datasets requires more than conventional approaches.

Today’s clinical data professionals need advanced skills to design, program, and maintain the advanced analytics and data lakes that are required in the modern clinical data landscape. This evolution has necessitated two new critical roles:

• Clinical Data Scientist (CDS) – leveraging analytics and visualization to analyze complex medical data from diverse sources.
• Clinical Data Engineer (CDE) – designing, building, and maintaining robust data pipelines that ensure seamless, compliant data flow across the clinical trial ecosystem.

Join us for an insightful webinar where our experts will explore how these roles are redefining data management, driving innovation, efficiency, and confidence in modern clinical trials.

Key Topics

• Why data visualizations matter with increasing data points
• Systemic audit trail analysis to meet 2023 EMA guidance
• Moving from comprehensive reviews to trend and outlier detection in data cleaning
• Deploying specialized talent to build insight-ready clinical data ecosystems

Speakers

William Baker, Vice President, Clinical Data Management

Jennifer Sustin, Associate Director, Clinical Data Management

Moderator

Shemus Dore, Head of FSP Clinical Data Insights and Analytics