Erez Wasserman
About Erez Wasserman
Erez Wasserman is a Senior Data Analyst at Diagnostic Robotics, where he focuses on analyzing healthcare program engagement measures. He holds a PhD in Neuroscience from Tel Aviv University and has extensive experience in data management and analysis within the healthcare sector.
Work at Diagnostic Robotics
Erez Wasserman has been employed at Diagnostic Robotics as a Senior Data Analyst since 2021. In this role, he focuses on analyzing engagement measures in healthcare programs. His work aims to identify motivational factors that can increase participation and enhance the effectiveness of healthcare products. This position is based in Tel Aviv, Israel.
Education and Expertise
Erez Wasserman studied at Tel Aviv University, where he earned a Doctor of Philosophy (PhD) in Neuroscience. He also completed a Bachelor of Science (BSc) in Biological and Medical Sciences at the same institution. His educational background provides a strong foundation for his expertise in data analysis within the healthcare sector.
Background in Data Management
Prior to his current role, Erez Wasserman worked at Viz.ai as a Data Manager from 2018 to 2020. He also served as a Data Manager and Annotation Team Leader at Viz.ai for a brief period in 2020. His experience includes defining indicators to validate client data integrity in the healthcare industry, showcasing his skills in data management and analysis.
Previous Experience in Healthcare and Research
Erez Wasserman has a diverse background in healthcare and research. He worked at ElMindA as a Technical Operations Specialist and Data Management from 2015 to 2018. Additionally, he was a Psychobiology PhD student at Tel Aviv University from 2009 to 2015 and a Research Scientist at the Weizmann Institute of Science for one year in 2014-2015.
Economic Analysis in Healthcare
In his previous roles, Erez Wasserman performed analyses to estimate the economic viability and profitability of potential healthcare products and markets. He assessed the costs of medical conditions in specific population groups, contributing valuable insights into the financial aspects of healthcare initiatives.