$100K – $125K/yr
Senior Data Analyst for Lab Production Support, Extended-Hours Support (ExHS)
Role overview
Job description
Important: this position will work on the Weekend Shift team, with the following rotation schedules: Tuesday-to-Saturday (including Tue, Wed, Thur, Fri, and Sat), 9AM-to-5PM. Sunday-to-Thursday (including Sun, Mon, Tue, Wed, and Thur), 9AM-to-5PM. This position will rotate through the above work schedules quarterly, i.e., work in one rotation schedule for 3 calendar months, and then move to the other rotation schedule for another 3 calendar months. This is an exciting opportunity in our Data Science Production Engineering (DSPE) department at Natera (a global leader in precision medicine and genomics testing), to provide critical data analytics support for our lab production operations. As a Senior Data Analyst for Lab Production Support in our DSPE Extended-Hours Support (ExHS) team, you will work in the Weekend Shift team (following the above two rotation schedules). You will have th
…About this listing
- Source: Natera's official careers site (via Greenhouse) · last confirmed on the source 27 Oct 2026
- Posted 5 Oct 2026
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What they are looking for
Skills & requirements
Qualification
Masters degree in Statistics, Mathematics, Computer Science, Bioinformatics, Operational Research, or other related fields. Minimum 3 years of relevant industry experience. (Preferred, Not Required) Minimum 2 years of experience working in a highly regulated environment (e.g., CLIA and/or FDA compliant settings). Minimum 3 years of hands-on experience in data analysis, extraction, querying in production support roles. KNOWLEDGE, SKILLS, AND ABILITIES: Working knowledge of the business processes and requirements of diagnostic laboratories. Knowledge of molecular biology, genetics, genomics, and/or bioinformatics is a plus. Proficient in data analysis and statistical techniques. Proficient in Python and SQL development. Working knowledge of Snowflake platform and cloud technologies. Strong understanding of statistical concepts such as hypothesis testing, central limit theorem, time series analysis, anomaly detection, and regression modeling. Good documentation practices and coding style. Strong verbal and written communication skills, with the ability to present technical findings to both technical and non-technical audiences. Experience using version control systems such as GitHub o
Department · Molecular Biology Informatics & Statistics
Hiring company
Natera
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.
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