DataFramed #94 How Data Science Enables Better Decisions at Merck
Jul 4, 2022
Suman Giri, the Global Head of Data Science at Merck's Human Health Division, leads innovative data-driven initiatives in pharmaceuticals. He discusses how Merck is leveraging data science to enhance decision-making, improve medical research outcomes, and tackle major industry challenges. The conversation highlights advancements in drug development, automated manufacturing, and the evolving role of data talent. Suman also delves into future trends including AI, blockchain, and the necessity for ethical frameworks to optimize healthcare outcomes.
AI Snips
Chapters
Transcript
Episode notes
Data Science as Decision Support
- Pharma companies use data science as a decision support tool, unlike companies where data science is the core product.
- Productionalization needs vary based on the role of data science in the organization, which may not be the same for pharma and others.
Challenges in Pharma Data Science
- Data access and interoperability, talent acquisition, and mindset shifts are key challenges in pharma data science.
- Limited data access hinders disease understanding and drug marketing, especially outside the US.
Improving Data Access
- Increase collaboration between pharma companies, CROs, academia, and the government to improve data access.
- Examine regulatory hurdles preventing data sharing and innovation in the pharmaceutical industry.