Director, Statistical Methods
Novartis Pharma AG, Switzerland
Dr. Rima Izem is a Director in the Statistical Methodology group in Novartis where she supports the use of best practice methodologies as well as development and implementation of novel statistical methods using real-world data or hybrid designs in all phases of clinical development and across therapeutic areas. Her research experience includes pioneering work in regulatory statistics using causal inference for comparative safety, signal detection, and survey research at the US FDA. Her methodological experience also includes comparative effectiveness in rare diseases at Children’s National Research Institute, and dimension reduction methods at Harvard University. Her experience with real-world data includes work with US insurance claims databases and electronic healthcare data, international registries, and electronic clinical outcome assessments.