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Product Engineer

BIO · Remote

This listing is no longer verified as available.

MeritLog keeps this source-backed description for reference. Availability is not verified, and there is no application link here.

Last seen by MeritLog September 10, 2026Source: AshbySource version: ashby-public-job-posting-v1

Source: the employer's Ashby job board. Open the original listing for current details. Availability is not verified for this retained page.

Job details

Work model
Remote
Salary
Not listed by source
Location
Remote

What the role asks for

What you'd do

  • Ship deployed, user-facing MVPs fast - comfortable with "disposable code" to test market value
  • Build connectors and integrations for messy external data sources (Fitbit, Whoop, EHRs, public bio-databases)
  • Translate complex, non-deterministic AI outputs into clean, actionable UI/UX
  • Prototype new use cases and validate them with real users
  • Free up the core team to focus on the "Brain" while you own the "App"
  • Track record of shipping products quickly - you've built and deployed things people actually use
  • Full-stack skills with a bias toward frontend and user experience
  • Fearless when it comes to integrating with messy, undocumented, or inconsistent APIs
  • Strong product intuition - you care about what users need, not just what's technically interesting
  • Comfortable with ambiguity and rapid iteration

What they're asking for

  • Experience building UIs for AI/ML systems or non-deterministic outputsSkillPreferred
  • Familiarity with health/fitness data platforms or healthcare APIsSkillPreferred
  • Background in design or strong eye for UI/UXSkillPreferred
  • Interest in biology, health tech, or personal analyticsSkillPreferred
  • High autonomy - own entire products from concept to launchSkillPreferred
  • Fully remote - work from anywhereSkillPreferred
  • Work at the intersection of AI and biologySkillPreferred
  • Competitive compensation with token/equity componentSkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

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. THE ROLE Our core team is focused on improving our AI agents' reasoning - we need someone dedicated to rapidly building the apps and wrappers that put those agents in users' hands. You'll take custom use cases (personal health data analysis, bio-database exploration, and more) from idea to deployed MVP in days, not months. WHAT YOU'LL DO • Ship deployed, user-facing MVPs fast - comfortable with "disposable code" to test market value • Build connectors and integrations for messy external data sources (Fitbit, Whoop, EHRs, public bio-databases) • Translate complex, non-deterministic AI outputs into clean, actionable UI/UX • Prototype new use cases and validate them with real users • Free up the core team to focus on the "Brain" while you own the "App" WHAT WE'RE LOOKING FOR • Track record of shipping products quickly - you've built and deployed things people actually use • Full-stack skills with a bias toward frontend and user experience • Fearless when it comes to integrating with messy, undocumented, or inconsistent APIs • Strong product intuition - you care about what users need, not just what's technically interesting • Comfortable with ambiguity and rapid iteration NICE TO HAVE • Experience building UIs for AI/ML systems or non-deterministic outputs • Familiarity with health/fitness data platforms or healthcare APIs • Background in design or strong eye for UI/UX • Interest in biology, health tech, or personal analytics WHY BIO • High autonomy - own entire products from concept to launch • Fully remote - work from anywhere • Work at the intersection of AI and biology • Competitive compensation with token/equity component

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