Biotech/pharma ML
Folks in the biotech and pharma space working with machine learning, what is your day-to-day like ? Please post education and TC as well TC: 160K + 12% bonus + RSU
I'm sure it depends a lot on the place. Generally speaking it's more applied ML than coming up with new methods. But it still research oriented--the application of ML methods to answer clinical questions and gain novel insights. Your TC is comparable with what one could expect 1-2 YOE post-phd (YMMV on RSU but they typically kick in at Associate Director level--2-3+ YOE). General day-to-day is very varied. You may have cross functional meetings, read some papers, organize some data sets and write some ML code. It's kind of like academia, except that your projects have to line up with various other activities of the company and there less emphasis on high risk/high impact studies and more focus on specific questions with reasonable timelines for getting an answer. And WAY more meetings than academia. Finally, WLB balance is much better than academia (if you were on a "trying to get a tenure track job" track). Generally 9-5 with some evenings/weekends as needed. Definitely not a constant grind to get nature papers Feel free to PM me if you have more specific questions.
J&J ML is a complete shitshow unless you're in devices or discovery, and discovery requires at least phd and many cases post-doc