Dean Lee is a Senior Expert in Data Science at Novartis, with background in neuroscience and statistics from institutions such as Penn State and Harvard.
In this conversation, Dean talks about his shift to computational biology, the skills needed, the importance of hands-on projects, the role of biology and statistics, job application tips, and plans for an online course to help make learning more accessible.
Follow Dean and his newsletter on Linkedin: https://www.linkedin.com/in/deanslee/
And oh yeah, this podcast is possible because of our friends at Litmaps.
Litmaps is an easy-to-use, comprehensive literature review tool that helps researchers of all backgrounds find and manage papers better.
I’ve been using their tool for over 6 months now, and I love being able to get a quick overview of a specialized field in a highly visual map that takes 10 seconds to create.
📌 To get 30% off of Litmaps Pro use this link https://www.litmaps.com/?via=kenan and code KENAN30.
Chapters:
00:00 Introduction to Computational Biology
09:19 Accelerating the Transition to Computational Biology
19:53 Essential Skills for Computational Biologists
28:40 Comparing Work Environments: Startup vs. Corporate
35:22 Navigating the Hiring Process in Computational Biology
41:28 R vs. Python: Choosing the Right Language
47:35 Common Statistical Mistakes in Biological Research