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Victoria Gamerman on a Roadmap to Real-World Data in Drug Discovery

Photo of Victoria Gamerman

Victoria Gamerman’s love of analytics and math came from her grandmother—the first mathematician she knew. And in her nearly decade at Boehringer Ingelheim, she’s been putting that love to use as the Global Head of Data Governance and Insights.  In the latest episode of Bio-IT World’s Trends from the Trenches podcast, host Stan Gloss, founder of BioTeam, talks with Gamerman about real world data, why it’s important for drug discovery, and the shifts happening around how we think about data. “Historically what I have seen and observed in terms of industry trends and trends from regulators is… a culture of data collected for a very specific purpose. Therefore, the design of a clinical trial is very specific to address the scientific question at hand,” she says.

Gamerman speaks openly about how shifts in technology help real-world data make a significant impact on precision and public health, the challenges that varied data sources present to scientists, and how those same challenges present useful information regarding a patient’s health journey. “The trifecta of information that ultimately comes out of those data sources is what will give us the huge opportunity to better understand and create really powerful medicines for future generations.”

Victoria Gamerman, Global Head of Data Governance and Insights, Boehringer Ingelheim
Victoria Gamerman is a curious thought and people leader focused on improving healthcare by connecting the dots among patient-centricity, digital health, and real-world evidence to evolve clinical research through innovation and digital transformation.

As Global Head of Data Governance and Insights, she is accountable for shaping the data strategy and data governance for Clinical Development and Operations. Previously, she was the Head of Health Informatics and Analytics where she established the strategic priorities based on needs from Medical and Commercial stakeholders. As a team of data scientists, they executed use cases to generate evidence from external clinical data and real-world health care data in support of drug development.

Gamerman has formal training with a PhD and MS in Biostatistics from the University of Pennsylvania School of Medicine and MA/BA in Mathematics from Boston University. She is also trained in Scrum/Agile methodologies (Product Owner and Scrum Master) as well as Design Thinking. Gamerman currently teaches in the Applied Analytics program as an Adjunct Scholar-Professional Lecturer at Columbia University.



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