

Episode 18: Research Data Science in Biotech
5 snips May 24, 2023
Eric Ma, a leader in the research team at Moderna Therapeutics, discusses the tools and techniques used for drug discovery, the importance of machine learning and Bayesian inference, and the cultural questions surrounding hiring and management in research data science in biotech. They also explore the tech stack used in their work, the skills and hiring considerations in biotech, the importance of data testing and standardizing Excel spreadsheets, and the current state and challenges of Bayesian inference.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8
Introduction
00:00 • 2min
Research Data Science in Biotech: Tools, Techniques, and Career Considerations
01:38 • 10min
Transitioning from Grad School to Industry
11:30 • 31min
Bayesian Inference in Biotech Research
42:13 • 5min
Tech Stack and Operationalizing Work
47:24 • 10min
Skills and Hiring in Biotech
57:48 • 6min
The Importance of Data Testing and Standardizing Excel Spreadsheets in Data Science
01:03:43 • 2min
The Current State and Challenges of Bayesian Inference
01:05:42 • 6min