Dedicated to oncology, women’s health, and organ health. Natera’s cell-free DNA tests help protect health and inform more personalized decisions about care. Backed by Lightspeed and Sequoia.
About the role
Natera is a global leader in cell-free DNA testing, supporting oncology, women’s health, and organ health. Our goal in R&D operations data science is to support R&D activities at Natera through data analytics and the development of intelligent tools to optimize workflows and processes.
What they're looking for
- Experience: 2+ years of experience in data analysis, analytics engineering, or software/data platform development
- AI Tooling Proficiency: High comfort level and practical experience using modern AI developer assistants (e.g., Claude Code, Gemini, GitHub Copilot) to augment coding productivity and rapid iteration
- Python Proficiency: Advanced proficiency in Python for data analysis, pipeline development, and platform prototyping
- Advanced SQL Expertise: Strong expertise in writing, optimizing, and maintaining complex custom SQL queries
- Engineering Best Practices: Strong commitment to writing clean, modular, reproducible, and well-documented code using version control (Git)
- Agile Problem Solving: Ability to work in a fast-paced, iterative environment, independently troubleshooting complex technical and data challenges
More about this role
This will be a hybrid role (1 day a week) working out of our San Carlos, CA location.
Natera is a global leader in cell-free DNA testing, supporting oncology, women’s health, and organ health. Our goal in R&D operations data science is to support R&D activities at Natera through data analytics and the development of intelligent tools to optimize workflows and processes.
As a Senior Data Analyst on the team, you will play a pivotal role in designing, prototyping, and building out a modern, next-generation AI analytics platform to phase out legacy reporting infrastructure. In this role, you will leverage AI developer tools (e.g., Claude Code, Gemini) to significantly accelerate design, scripting, and platform prototyping. However, speed must be paired with engineering rigor: you must possess deep foundational technical expertise to critically review, audit, validate, and refine all AI-assisted output, ensuring production-grade code quality, data accuracy, and system reliability.
- Platform Design & Rapid Prototyping: Lead the effort in architecting, iterating, and building out a new R&D analytics platform. Rapidly prototype scalable analytics solutions and modern self-service data...
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