Computational Biologist

Overview

iollo is a Stanford-founded startup. We ve built Quinn, an AI scientist that finds discoveries human teams miss. We re looking for a founding computational scientist to expand Quinn s proven capabilities and implement it with biotech/pharma companies. Quinn already works with Fortune 500 pharma partners, reasoning through complex data to generate hypotheses, interpret biology, and deliver strategic recommendations. Think of Quinn as a brilliant colleague who needs a scientific partner to expand into new therapeutic areas and create a rapid feedback loop between real-world needs and platform development.

• Direct impact on drug discovery - partners use your work to make critical program decisions
• Own the entire partner journey from initial scoping to successful deployment
• Build the playbook for implementing AI in drug discovery across therapeutic areas
• Bridge the gap between cutting-edge AI capabilities and real-world pharma needs
• Shape product direction based on hands-on partner experience

Quinn Expansion:

• Extend Quinn to new therapeutic areas and use cases
• Work with engineering to scale capabilities to new domains
• Develop best practices for different discovery challenges
• Maintain scientific rigor as Quinn tackles increasing complexity

Partner Success:

• Implement Quinn for each partner s specific needs
• Guide partners to maximize impact of Quinn s discoveries
• Validate biological relevance before partner delivery
• Present findings and recommendations to executive teams
• Gather feedback to identify future expansion opportunities

• PhD in Computational Biology, Bioinformatics, or related field (or equivalent industry experience)
• 3+ years applying computational methods to drug discovery challenges
• Deep understanding of the drug discovery pipeline from target  clinical trials
• Experience validating scientific discoveries and ensuring biological relevance
• Strong scientific judgment to assess AI-generated discoveries and recommendations
• Programming skills to expand Quinn s capabilities (Python preferred)
• Track record of translating complex scientific findings into actionable insights
• Excellent communication skills - presenting AI discoveries to diverse audiences
• Ability to bridge AI discovery capabilities with real-world drug development needs
• Comfort working with AI as a scientific colleague

• Experience at pharma/biotech companies or CROs
• Knowledge of specific therapeutic areas (oncology, neuroscience, immunology)
• Publications in computational drug discovery
• Experience with LLMs and modern AI architectures
• Consulting or customer-facing experience
• Understanding of regulatory requirements (FDA, EMA)

• Work alongside an AI scientist that performs complete scientific discovery beyond human scale
• Be the founding computational lead expanding AI s reach in drug discovery
• Guide how the world s most advanced pharma companies leverage AI for discovery
• See direct impact - partners make critical decisions based on Quinn s discoveries
• Join at the perfect stage: proven product with massive growth ahead
• Collaborate with Stanford scientists and Y Combinator network
• Competitive compensation with meaningful equity
• Shape how AI scientists and human experts collaborate to transform drug discovery

If you re excited about AI-driven drug discovery but your background doesn t perfectly match, we still want to hear from you. We value diverse scientific perspectives and are looking for passionate scientists who want to transform how drugs are discovered.