Founding AI Scientist (Pharma AI Agents)
iollo
•
San Francisco, CA
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0
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Not Applicable
Posted March 29, 2026
Job link
Thinking about this job
Responsibilities
Responsibilities
- 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
- Responsibilities (50/50 split between Quinn expansion and partner success)
- 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
Not Met Priorities
What still needs stronger evidence
Requirements
- 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 ID through 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
- Understanding of regulatory requirements (FDA, EMA)
Preferred Skills
- 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)
Education
- (Not required) – PhD in Computational Biology, Bioinformatics, or related field (or equivalent industry experience)
About Iollo
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 AI 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.
What Makes This Role Unique
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
Responsibilities (50/50 split between Quinn expansion and partner success)
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
What You'll Need
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 ID through 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
Nice to have
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)
Why join us
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.
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 AI 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.
What Makes This Role Unique
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
Responsibilities (50/50 split between Quinn expansion and partner success)
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
What You'll Need
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 ID through 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
Nice to have
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)
Why join us
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.