About the role
About iollo
iollo was founded by Daniel Gomari (PhD Computational Biology, Stanford) and Prof. Mike Snyder (Stanford Genetics, 900+ publications) after watching pharma companies spend millions and months making R&D decisions that could be computed in days. We built Quinn to fix that. Quinn is an AI scientist that runs autonomous scientific workflows and delivers high-stakes R&D decisions to Fortune 500 pharma companies.
The role
Deliver Quinn's science directly to pharma R&D teams and ship what you learn back into the product.
Quinn delivers decision-ready science to pharma partners — target validation, translational strategy, trial design, competitive intelligence, and more. Each partner engagement starts with a hard R&D question and ends with a decision package their leadership can act on. The challenge: run Quinn and turn every deployment into product improvement. You are the bridge between the AI and the pharma teams that use it.
What you'll do
- Work alongside Quinn to deliver for pharma partners and present findings to their R&D leadership
- Run Quinn and own the quality of what ships
- Write and evaluate LLM prompts daily
- Ship what you learn back into Quinn to extend its capabilities
What you'll need
- A PhD in a life sciences discipline (biology, chemistry, pharmacology, or related) with computational fluency
- 3+ years in pharma R&D with exposure to multiple stages — not just one silo
- Delivered scientific findings directly to R&D leadership or external partners
- Shipped tools, pipelines, or outputs that other people actually used for decisions
- Hands-on comfort with Git, Python, LLM workflows, and prompt/eval loops
- A self-directed approach — you figure out what needs to happen and do it
