Exploring R&D in Data Science

In this episode, Amir Bormand interviews Marissa Saunders, Senior Director of Data Science at Recursion. They discuss the importance of research and development (R&D) in data science and its various implications for different companies. They emphasize the need to balance accuracy and completion with understanding business value and return on investment (ROI). Marissa explains how Recursion is focused on revolutionizing drug discovery by industrializing the process and incorporating more hypotheses to accelerate results and reduce costs. The goal is to move from traditional biotech to tech bio. Highlights: [00:01:50] Failing fast in drug discovery. [00:03:14] Drug discovery and AI capabilities. [00:08:25] Cooperating to gather clean data. [00:10:02] Industrializing the drug discovery process. [00:13:52] Ideation and problem-solving process. [00:17:08] Refining pipeline for drug development. [00:21:07] R&D and team setup. ---- Thank you so much for checking out this episode of The Tech Trek, and we would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests?Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)