Bio is a decentralized science protocol that helps launch and grow AI-driven biotech research. It enables scientists to raise funds, create value from their work, and distribute that value directly to their communities. Since 2023, Bio has directed over $50m to global researchers, offering an alternative to traditional pharma funding. Backed by investors like Binance Labs, Northpond Ventures, and Animoca Brands, Bio accelerates real-world therapeutics across longevity, brain health, fertility, psychedelic science, and more.
About the RoleWe're building infrastructure for decentralized science and are looking for a QA Engineer who can own quality end-to-end - from manual testing and exploratory work to building automated test frameworks. This is a foundational role where you'll ensure our AI agents, web applications, and on-chain systems work reliably as we scale.
You'll work closely with engineering, product, and science teams to catch issues before they reach users and build the testing infrastructure that keeps us shipping fast with confidence.
What You'll DoDesign and execute manual test plans for new features and releases
Build and maintain automated test suites (unit, integration, end-to-end)
Perform exploratory testing to find edge cases and unexpected issues
Integrate testing into CI/CD pipelines to catch regressions early
Test AI agent outputs for accuracy, consistency, and reliability
Collaborate with engineers to define test coverage and quality standards
Document bugs clearly and work with the team to prioritize fixes
Help establish QA best practices as the team grows
Proven experience in both manual testing and test automation
Strong background building automated test frameworks (Playwright, Cypress, Selenium, or similar)
Experience testing web applications and APIs
Experience testing AI/ML systems or non-deterministic outputs
Background in testing smart contracts or blockchain applications
Ability to think like a user - and like an attacker - to find issues others miss
Familiarity with CI/CD pipelines and integrating tests into deployment workflows
Comfortable operating in an early-stage, fast-moving environment
Strong communication skills and attention to detail
Prior work in biotech, research tools, or scientific software
Contributions to open-source testing tools or frameworks
Foundational role with real ownership over quality
Competitive salary + meaningful equity/token component
Remote-first culture with a small, high-trust team
Opportunity to shape QA practices from day one
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