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Natera

Makes genetic tests for clinical care

Senior Data Analyst

Data Engineering +1Confirmed live in the last 24 hours
Full-timeSan Carlos, CA, USA

About the Job

Requirements

  • At least 2 years of experience in data analysis, analytics engineering, or software/data platform development.
  • Practical experience using modern AI developer assistants to augment coding productivity and rapid iteration.
  • Ability to independently evaluate, verify, and refine data workflows, queries, and automated outputs for quality and accuracy.
  • Advanced proficiency in Python for data analysis, pipeline development, and platform prototyping.
  • Strong expertise in writing, optimizing, and maintaining complex custom SQL queries.
  • Ability to write clean, modular, reproducible, and well-documented code using version control with Git.
  • Ability to troubleshoot complex technical and data challenges in a fast-paced, iterative environment.
  • Strong written and verbal communication skills for collaborating across technical and non-technical teams.

Responsibilities

  • Architect, iterate, and build a new R&D analytics platform, rapidly prototyping scalable analytics solutions and modern self-service data tools.
  • Use AI tools, including Claude Code, Gemini, and coding assistants, to accelerate development, automate repetitive coding tasks, and speed platform prototyping; review, debug, unit-test, and validate generated code and analytics logic for correctness, security, and efficiency.
  • Extract, clean, transform, and model complex multi-source R&D data; develop and optimize high-performance custom SQL queries and partner with Data Engineers to enhance database scalability and platform performance.
  • Translate operational requirements into actionable insights, automated KPI workflows, and modern analytics interfaces that drive R&D decision-making and continuous process improvement.
  • Partner with cross-functional R&D stakeholders and operational teams to understand workflows, define analytics requirements, and deliver data tools.
  • Establish validation frameworks, automated monitoring, and data integrity checks to ensure accuracy and consistency across analytics platform outputs.

Desired Qualifications

  • Experience with modern cloud data warehouses such as Snowflake and analytics engineering tools such as dbt.
  • Experience building custom web-based data applications or internal tools using Streamlit, Dash, Gradio, or web frameworks.
  • Domain knowledge in molecular biology, biochemistry, bioinformatics, operations research, or related biotech fields.
  • Proficiency in a Linux/Unix environment.

About the Company

Natera

Makes genetic tests for clinical care

Natera develops genetic tests for clinicians caring for people with cancer, inherited conditions, pregnancies, and organ transplants, using DNA analysis to inform medical decisions. Its portfolio includes Signatera for tracking residual cancer, Panorama for prenatal screening, and Prospera for assessing transplanted organ health. The company combines laboratory analysis with software that distinguishes DNA fragments in blood, and earns revenue mainly from diagnostic testing, alongside licensing and services for research partners. Clinicians use its portals to order tests, track samples, and review results, while patients have access to genetic information sessions. Natera was founded in 2004 and is headquartered in Austin, Texas.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Austin, TX
Founded
2004

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