About iolloiollo 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.What makes this role uniqueDirect impact on drug discovery - partners use your work to make critical program decisionsOwn the entire partner journey from initial scoping to successful deploymentBuild the playbook for implementing AI in drug discovery across therapeutic areasBridge the gap between cutting-edge AI capabilities and real-world pharma needsShape product direction based on hands-on partner experienceResponsibilities (50/50 split between Quinn expansion and partner success)Quinn Expansion:Extend Quinn to new therapeutic areas and use casesWork with engineering to scale capabilities to new domainsDevelop best practices for different discovery challengesMaintain scientific rigor as Quinn tackles increasing complexityPartner Success:Implement Quinn for each partner's specific needsGuide partners to maximize impact of Quinn's discoveriesValidate biological relevance before partner deliveryPresent findings and recommendations to executive teamsGather feedback to identify future expansion opportunitiesWhat you'll needPhD in Computational Biology, Bioinformatics, or related field (or equivalent industry experience)3+ years applying computational methods to drug discovery challengesDeep understanding of the drug discovery pipeline from target ID through clinical trialsExperience validating scientific discoveries and ensuring biological relevanceStrong scientific judgment to assess AI-generated discoveries and recommendationsProgramming skills to expand Quinn's capabilities (Python preferred)Track record of translating complex scientific findings into actionable insightsExcellent communication skills - presenting AI discoveries to diverse audiencesAbility to bridge AI discovery capabilities with real-world drug development needsComfort working with AI as a scientific colleagueNice to haveExperience at pharma/biotech companies or CROsKnowledge of specific therapeutic areas (oncology, neuroscience, immunology)Publications in computational drug discoveryExperience with LLMs and modern AI architecturesConsulting or customer-facing experienceUnderstanding of regulatory requirements (FDA, EMA)Why join usWork alongside an AI scientist that performs complete scientific discovery beyond human scaleBe the founding computational lead expanding AI's reach in drug discoveryGuide how the world's most advanced pharma companies leverage AI for discoverySee direct impact - partners make critical decisions based on Quinn's discoveriesJoin at the perfect stage: proven product with massive growth aheadCollaborate with Stanford scientists and Y Combinator networkCompetitive compensation with meaningful equityShape how AI scientists and human experts collaborate to transform drug discoveryIf 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.
Job Title
Computational Biologist