Natera

Director of Data Science Production Engineering, Extended-Hours Support

Natera$205K — $256K *
Healthcare
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Statistics, Data Science, Bioinformatics, Computer Science, Mathematics, or Operations Research; Doctorate is a plus.
  • 8+ years of relevant industry experience with a Master's (or 4+ years with a Doctorate).
  • 3+ years of experience in highly regulated environments (CLIA/FDA).
  • 3+ years of management experience leading teams of 7-20 in operational roles.
  • Familiarity with diagnostic laboratory processes and genomic/bioinformatics technologies.

Responsibilities

  • Direct and mentor ExHS data science support engineers and analysts across operational shifts.
  • Enforce compliance, quality, and efficiency operating procedures.
  • Measure and improve team operational effectiveness.
  • Lead team during production incidents or emergencies.
  • Develop operational visibility technologies (e.g., AWS QuickSight, Streamlit).
  • Manage analytics workflows on Snowflake and AWS, ensuring compliance with standards.
  • Identify and implement process improvements and train team members.

Benefits

  • Annual performance incentive bonus
  • Long-term equity awards
  • Comprehensive health benefits (medical, dental, vision)
  • 401(k) with company match
  • Generous paid time off and company holidays
  • Additional wellness and work-life benefits
Full Job Description
This is an exciting opportunity to direct the Extended-Hours Support (ExHS) engineering team within Natera's Data Science Production Engineering (DSPE) organization. In this leadership role, you will oversee the ExHS team's entire operation, ensuring the team's timely and accurate data analytics support to production teams, e.g., product management team, lab operations teams, lab director teams, and genetic counselor teams, within a CLIA/FDA regulated environment.

Important Note: This Director needs to be available during the extended hours (e.g., early morning, late evening, and weekend hours) during emergencies or other critical events. The Director does not require general availability during the extended hours, but only during emergencies or other critical events during the extended hours.

PRIMARY RESPONSIBILITIES:

Team Leadership and Operations
  • Direct and mentor a team of 10+ ExHS data science support engineers and analysts providing coverage across standard and extended operational shifts, for the timely and accurate data analytics support for production teams.
  • Enforce operating procedures for compliance, quality, and efficiency.
  • Measure, report, and continuously improve team operational effectiveness.
  • Lead the team during critical production incidents or emergency events during and outside standard business hours.

Technical Execution and Infrastructure
  • Develop and maintain technologies for operational visibility (e.g., via AWS QuickSight or Streamlit).
  • Develop and maintain technologies for operational efficiency.
  • Manage and execute analytics workflows on Snowflake and AWS infrastructure (Redshift, Athena, Batch, EC2, S3), and ensure strictly compliance to CLIA, FDA, and internal quality management standards.

Process Improvement
  • Improve operating procedures for compliance, quality, and efficiency.
  • Train and coach team members on new technologies, procedures, and guidelines/best practices.
  • Identify areas for improvement within the DSPE ExHS team, develop improvement solutions, and/or work with DSPE teams to implement such solutions.

Cross-Functional Collaboration
  • Represent the Extended-Hours Support (ExHS) teams in stakeholder meetings.
  • Proactively manage stakeholder expectations.
  • Establish regular stakeholder reporting mechanisms.
  • Translate complex analytical results into actionable recommendations for cross-functional partners.

QUALIFICATIONS:
  • Master's degree in Statistics, Data Science, Bioinformatics, Computer Science, Mathematics, or Operations Research required; Doctorate degrees are a plus.
  • Minimum 8 years of relevant industry experience with a Master's degree (or minimum 4 years with a Doctorate).
  • Minimum 3 years of experience operating within a highly regulated environment (CLIA and/or FDA compliant settings).
  • Minimum 3 years of management experience leading medium-sized teams (e.g., of 7 to 20 engineers or analysts, or larger) in production support or operational roles.
  • Working knowledge of diagnostic laboratory business processes and genomic/bioinformatics technologies.

KNOWLEDGE, SKILLS, AND ABILITIES:
  • Proficient in data analysis and statistical techniques.
  • Proficient in Python and SQL development.
  • Hands-on experience with Snowflake platform technologies and AWS cloud analytics tooling (Redshift, Athena, Batch, EC2, S3).
  • Demonstrated experience developing operational dashboards and analytical tools using AWS QuickSight, Streamlit, or equivalent platforms.
  • Strong written and verbal communication skills, with a track record of building cross-functional trust and explaining technical data clearly.
  • Ability to navigate operational ambiguity, establish structure where gaps exist, and resolve production bottlenecks directly.
  • Good documentation practices and coding style.
  • Strong integrity.
  • Team player, collaborative.


Compensation & Total Rewards

This range reflects a good-faith estimate of the base pay we reasonably expect to offer at the time of hire. Final compensation will vary based on experience, qualifications, and internal equity considerations.

This position is also eligible for additional compensation and benefits through Natera's robust Total Rewards program, including:
  • Annual performance incentive bonus
  • Long-term equity awards
  • Comprehensive health benefits (medical, dental, vision)
  • 401(k) with company match
  • Generous paid time off and company holidays
  • Additional wellness and work-life benefits


Compensation Range

$205,000-$256,200 USD

About Natera

Natera is a biotechnology company that focuses on genetic testing and diagnostics. The company's products are designed to help diagnose and treat genetic diseases, cancer, and other conditions. Natera's pipeline includes products for reproductive health, oncology, and organ transplantation. The company was founded in 2003 and is headquartered in San Carlos, California.
Learn more about Natera
Size
2,670 employees
Market Cap
$4.5 billion
Industry
Net Income
-$229.7 million
Founded
2004
5 Year Trend
+24.1%
Revenue
$391 million
NASDAQ

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