iollo | San Francisco + Remote (US) | Full-time Annual Salary: $150K–$220K + equity

iollo is Stanford-founded and Y Combinator-backed. We’ve built Quinn, an AI scientist that does the work of a full research team in days for Fortune 500 pharma companies. The role: extend Quinn into new therapeutic areas and deliver results directly to pharma partners.

What you’ll do:

Work alongside Quinn to deliver for pharma partners and present findings to their R&D leadership
Build and ship production pipelines to extend Quinn’s capabilities
Work with LLMs daily as scientific tools
Ramp into new therapeutic areas fast

You may be a good fit if you have:

A PhD in computational biology, bioinformatics, or related (or equivalent depth from industry)
3+ years in pharma R&D — target ID through new drug application
Built pipelines or tools that other people actually use — not just notebooks
Scientific judgment to validate Quinn’s findings
A self-directed approach — you figure out what needs to happen and do it

You’ll stand out if you:

Have shipped a tool, package, or application that people actually use
Are genuinely excited about LLMs/AI and have built something real with them
Have presented scientific findings to leadership or external partners

You’d be Quinn’s scientific voice. Quinn finds things human teams miss — you make the call and deliver to partners in days, not quarters. If you want to shape how AI is used in drug discovery, let’s talk.

Interested in the role? Apply here.