Senior Engineer building scalable data processing applications and ETL pipelines for Capgemini’s digital transformation services. Optimizing distributed data workloads for analytics, reporting, and machine learning.
About the role
- Product Engineer for Bio developing user-facing MVPs in AI-driven biotech research. Work remotely, build integrations, and focus on actionable UI/UX with high autonomy.
Responsibilities
- 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"
Requirements
- 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
- Experience building UIs for AI/ML systems or non-deterministic outputs (Nice to Have)
- Familiarity with health/fitness data platforms or healthcare APIs (Nice to Have)
- Background in design or strong eye for UI/UX (Nice to Have)
- Interest in biology, health tech, or personal analytics (Nice to Have)
Benefits
- 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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