Weekend Lab Production Analytics Lead

Natera; United States; Remote; USD 130,000 - 155,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

Fertility care benefits

401k and commuter benefits

Employee referral program

Job summary

Natera is seeking a Senior Data Analyst for Lab Production Support within the DSPE Extended-Hours team. You will operate on the Weekend Shift with rotating schedules to support lab production and ensure timely, accurate data analysis for critical diagnostics.

Responsibilities include applying statistics, building automated workflows, and collaborating with Lab Operations and Product teams to resolve issues and drive performance improvements.

Qualifications

• Master's degree in Statistics, Mathematics, CS, Bioinformatics, Operational Research or related fields.
• Minimum 3 years of relevant industry experience.
• Experience in regulated environments (e.g., CLIA/FDA) is preferred.

Responsibilities

• Deliver timely data support to Lab Operations teams and unblock production issues.
• Apply statistical techniques to analyze complex datasets and support data-driven decisions.
• Perform exploratory data analysis to identify trends and drive improvements.
• Design automated data analysis and production support workflows.
• Extract, transform, and analyze data to generate actionable insights for lab production.
• Document analytical processes for knowledge transfer across teams.

Skills

Python

SQL

Statistics

Data Visualization

Time Series

A/B Testing

Git/GitHub

Education

Master's in Statistics

Master's in Mathematics

Master's in Computer Science

Master's in Bioinformatics

Tools

Snowflake

Cloud Technologies

Job description

Natera is seeking a Senior Data Analyst for Lab Production Support within the DSPE Extended-Hours team. You will operate on the Weekend Shift with rotating schedules to support lab production and ensure timely, accurate data analysis for critical diagnostics.

Responsibilities include applying statistics, building automated workflows, and collaborating with Lab Operations and Product teams to resolve issues and drive performance improvements.