WhoBuilt

Biotech Companies in YC

Sep 13, 2017· 41 min· 5.4K views·Watch on YouTube

Speaker

Elizabeth Iorns, founder and CEO of Science Exchange and a Y Combinator Expert Program partner, explains how YC helps biotech founders de-risk and fund their companies in conversation with a Y Combinator host.

What biotech founders gain from YC

Iorns says YC can help new founders learn how to incorporate, focus on product-market fit, and get a company started. For more established biotech founders, the program offers fundraising expertise and exposure to other fields, including AI. She says YC biotech companies had raised over $200 million at the time of the conversation.

Use the program to focus and de-risk

A three-month program is too short for major experimental advances, but it can help founders define a minimum viable product, choose a go-to-market strategy, and identify the next steps. Companies may use YC funding for critical-path experiments, proof-of-concept or efficacy studies, and regulatory advice. Iorns describes de-risking as building evidence, such as showing an intervention works in a cell or animal model.

Turn academic discoveries into companies

Iorns describes the end of a PhD as a point to consider whether a discovery has commercial potential, alongside the traditional postdoc route. She says university intellectual property is central to biotech, and founders may need to license it through a tech transfer office. YC can help companies work out a licensing strategy and make a case to the university.

Build a path from discovery to funding

Iorns says some biotech companies raised several million dollars in seed funding after YC, while the program still had limited data on later rounds. She contrasts this path with the established model of funds licensing discoveries, building companies internally, and hiring professional teams. She sees an opportunity to give PhD students and postdocs the mentorship and funding to become founders.

Where biotech research could advance

Iorns points to AI applications in biology, including predicting preclinical efficacy or toxicity and improving early clinical study design. She describes CRISPR as useful for high-throughput gene knockout screens and notes potential applications in correcting genetic defects. For longevity research, she highlights the difficulty of finding reliable human endpoints and says results from calorie restriction studies have been mixed across animal models.

Takeaways

  • Use an accelerator to clarify the next proof points and market steps, even when experiments take years.
  • Map the technology risks and experiments that could reduce them before seeking the next round.
  • Check who owns research IP early and understand the university licensing process.
  • Academic discoveries can become companies, but founders need support navigating commercialization and regulation.
  • Treat preclinical results cautiously when there is no reliable endpoint for measuring effects in people.

Mentioned in this talk

Search inside this talk

What was claimed 9

Show all 9 facts

Related talks