BIO - Chief Science Officer
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Requirements
• Senior scientific leadership with portfolio exposure (e.g., biotech fund, public biotech vehicle, hedge fund, or similar portfolio-research environment) • Demonstrated understanding of drug development realities, regulatory risk, and translational challenges • Experience advising, mentoring, or leading researchers and scientific teams • Comfort balancing scientific depth with execution, systems, prioritization, and commercialization • Interest in (and openness to) becoming AI-native in how scientific work is done • Metrics & KPIs • Number of researcher-led DAOs launched with top-tier academic credentials • Researcher NPS and retention rates across the ecosystem • Quality and progress of scientific assets under management • Funds allocated toward science and efficiency of deployment • IP generation, commercial viability of IP, and long-term DAO sustainability • How this differs from the previous phase • In earlier phases, BIO emphasized exploration, momentum, and narrative. At this stage, we need more executional gravity and follow-through: clearer prioritization, stronger talent density, better decision systems, and confidence in knowing when to double down - and when to say no. • What success looks like after 12 months • Clarified BIO’s scientific and talent strategy at the portfolio level • Improved the quality and credibility of launched projects and DAOs • Built scalable diligence, talent acquisition, and advisory systems informed by drug development exposure • Developed a strong working partnership with Bio Teams, and Molecule Core • Helped BIO ship fewer things better while increasing trust with researchers, partners, and token holders • Overall, this is not a figurehead role. We are looking for a hands-on, portfolio-minded scientific leader who understands how science becomes medicine, has observed drug development and approval processes firsthand, and can help BIO mature as a scientific organization without losing what makes it distinctive.
Responsibilities
• 1. Own portfolio-level scientific direction at Bio Protocol - maintaining a clear view of the strongest and most promising projects to prioritize for pursuit. • 2. Lead scalable diligence processes that assess scientific credibility, risk, and potential upside across BIO's portfolio; translating these reviews into decision support for go/no-go calls. • 3. Serve as a trusted sparring partner to founders, research teams, DAO leaders within Bio Protocol - refining hypotheses, stress-testing approaches, identifying risks early on and representing BIO credibly with external partners such as academics, biotech operators, investors, etc. • 4. Translate scientific work into structured programs for execution at Bio; contribute to positioning assets in terms of narrative, partnerships, adoption strategy. • 5. Support decisions on the allocation of BIO resources (e.g., marketing, growth support) across portfolio projects based on performance and demonstrated traction. • 6. Build an AI-native scientific operating model by working closely with Bio's systems and knowledge infrastructure to develop AI-driven workflows for research review and other aspects of the work process at BIO Protocol.
Benefits
• Bio is entering a phase where scientific ambition must deliver repeatable, credible outcomes at portfolio scale. We need senior leadership to evaluate, prioritize, and support multiple assets while improving the systems that guide scientific decisions. • The CSO will own Bio's scientific direction at the portfolio level - ensuring that promising ideas are rigorously evaluated, translated into testable programs, and moved into labs. The right person brings deep scientific credibility, experience with drug development, and the ability to attract and guide top-tier researchers. • A key requirement is meaningful exposure to the drug development and approval process - having observed programs through preclinical, IND-enabling, clinical, and regulatory stages. • What the CSO will actually do • 1. Own Bio’s portfolio-level scientific direction • Review projects launching on Bio Protocol, maintain a clear portfolio view of what's strongest and most promising, and make judgment calls on what to prioritize and what not to pursue. • 2. Translate AI outputs into lab-validated science • Work closely with Bio's AI team to take AI-generated hypotheses and move them into experimental validation. Design and oversee the processes that turn computational insights into real, testable scientific results - quickly and rigorously. • 3. Lead scientific diligence and evaluation • Build scalable processes to assess scientific credibility, risk, and potential across projects. Translate reviews into clear recommendations for go/no-go decisions and portfolio prioritization. • 4. Recruit and support top-tier scientists • Develop and execute a strategy to bring world-class researchers into Bio's ecosystem - leveraging academic networks, conferences, and partnerships. Serve as a scientific sparring partner to researchers, helping refine hypotheses and stress-test approaches. • 5. Represent Bio's scientific credibility externally • Act as Bio's scientific voice with academics, biotech operators, investors, and ecosystem partners. Stay current on scientific and biotech trends, and represent Bio at conferences and industry events. • 6. Build an AI-native scientific operating model • Work with Bio's systems and knowledge infrastructure to develop AI-driven workflows for research review, synthesis, and evaluation - so scientific judgment scales with the platform. • 7. Lead and grow the Science team • Hire, mentor, and manage Bio's Science team. Ensure the team operates at a high level and delivers on Bio's scientific mission. • The profile we’re looking for • A strong scientific foundation (PhD or equivalent depth) combined with experience outside of pure academia. This person should have meaningful exposure to the drug development and approval process, having witnessed one or more programs progress through preclinical development, IND-enabling studies, clinical trials, and regulatory interaction even if they were not directly executing the program.
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