Senior Data Analyst for Lab Production Support, Extended-Hours Support (ExHS)

• 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.

• Deliver timely data support to Lab Operations teams, unblock production issues, and improve patient results turnaround times.
• Apply statistical techniques to analyze complex datasets, diagnose operational issues, and support data-driven decision-making.
• Perform exploratory data analysis, identify trends, and work with stakeholders to interpret findings and drive continuous improvement.
• Design and implement automated solutions for recurring data analysis and production support workflows, improving operational efficiency and scalability.
• Extract, transform, and analyze data to generate actionable insights that support lab production operations and business decisions.
• Document analytical processes, best practices, and insights to ensure consistency and knowledge transfer across teams.

• Develop and optimize solutions for efficient data retrieval and scalable performance on large and/or complex datasets.
• Learn and acquire operational efficiencies on new technologies and solutions developed by other DSPE teams.
• Train and coach junior team members on new technologies, procedures, and guidelines/best practices.

• Collaborate with Lab Operations and Product teams to identify process issues, assist with root cause analysis, and provide product support.
• Represent the Data Science Production Engineering (DSPE) team in stakeholder meetings.
• Effectively and correctly escalate encountered issues to other DSPE teams.

• Masters degree in Statistics, Mathematics, Computer Science, Bioinformatics, Operational Research, or other related fields.
• Minimum 3 years of relevant industry experience.
• Minimum 3 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.

• 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 or GitLab for managing code and collaboration.
• Ability to work collaboratively in a cross-functional team environment.
• Strong interpersonal skills.
• Strong integrity.

The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

Remote USA

$130,000—$155,000 USD

OUR OPPORTUNITY

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

WHAT WE OFFER

Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!

For more information, visit

Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.

All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.

If you are based in California, we encourage you to read this important information for California residents.

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Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.

For more information:
- BBB announcement on job scams
- FBI Cyber Crime resource page