Our team (ex Google, Meta, Palantir, Genentech, Eli Lilly, etc.) is working on accelerating drug discovery by building AI algorithms on top of a unique and growing proprietary data set and making those algorithms available to scientists via a carefully-designed “copilot” software platform for molecular design. We are backed by top investors (e.g. a16z, Lux), advised by renowned drug discovery experts, and have achieved product-market fit, with rapidly growing revenue and customer adoption.
We are hiring across a number of roles, including:
We are a passionate, kind, and ambitious team, and we are looking for like-minded people who are excited to push the frontier of AI-guided drug discovery from both a software and ML perspective.
If this sounds like it might be a fit, send us an email at [email protected] (I read this personally) or apply directly via the links above.
"Before I quit my job, I constantly read books and listened to podcasts about startups. The part that intrigued me most was the boundlessness of possibility."
^ This is me right now. I've struggled to explain to people why I'm interested in entrepreneurship for its own sake (and not because, e.g., I'm passionate about a particular problem). This quote really encapsulates the draw of it for me.
Thanks Michael, just came across your blog recently. Great stuff.
I use https://cortadomail.com to get RSS feeds (and other sources) in email. I personally really like the workflow of getting a daily digest of all of my RSS feeds in a single email each day. (Disclaimer: I built this tool.)
It will just stop when it runs out (until he writes a new one).
The motivation is that PG has a bunch of great writing about startups, etc., but it's a bit hard to go to his website and dive in since there's so much. So this gives it to you in newsletter form, making it easier to set up a habit of reading a little bit at a time.
Our team (ex Google, Meta, Palantir, Genentech, Eli Lilly, etc.) is working on accelerating drug discovery by building AI algorithms on top of a unique and growing proprietary data set and making those algorithms available to scientists via a carefully-designed “copilot” software platform for molecular design. We are backed by top investors (e.g. a16z, Lux), advised by renowned drug discovery experts, and have achieved product-market fit, with rapidly growing revenue and customer adoption.
We are hiring across a number of roles, including:
- Full-stack software engineer: https://jobs.ashbyhq.com/inductive-bio/02725e91-1a91-4da7-a4...
- Frontend software engineer: https://jobs.ashbyhq.com/inductive-bio/822a554b-dfa0-49cc-b6...
- Machine learning engineer: https://jobs.ashbyhq.com/inductive-bio/3c352919-f968-4096-af...
We are a passionate, kind, and ambitious team, and we are looking for like-minded people who are excited to push the frontier of AI-guided drug discovery from both a software and ML perspective.
If this sounds like it might be a fit, send us an email at [email protected] (I read this personally) or apply directly via the links above.