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data analysis full-stack backend distributed systems aiπ Description
- Shape AI-powered scientific research via backend systems across Prism and Codex.
- Develop AI-native workflows for papers, literature, data exploration.
- Collaborate with researchers across biology to translate needs into product capabilities.
- Build AI-powered tools for data analysis, simulations, and experiments.
- Establish foundations for fast-moving 0β1 efforts across Core Science.
- Own end-to-end systems from design to production operations.
π― Requirements
- Strong backend or full-stack fundamentals with production experience.
- Comfortable in highly ambiguous 0β1 environments.
- Excited about applying AI to real scientific problems.
- Experience building scalable distributed systems or data-intensive apps.
- Care about quality, iteration speed, and user impact.
- Curious about scientific workflows in biology/chemistry.
- Communicate clearly across engineering, research, and product.
π Benefits
- Hybrid work model with 3 days in the office per week.
- Relocation assistance for new employees.
π Relocation support
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