Director of Data Science Production Engineering @Natera
Data and Analytics
Salary $186,300 β€” $232..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted 1mth ago

[Hiring] Director of Data Science Production Engineering @Natera

1mth ago - Natera is hiring a remote Director of Data Science Production Engineering. πŸ’Έ Salary: $186,300 β€” $232,900 usd πŸ“Location: USA

Role 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.
    • 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), ensuring compliance with 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.

Requirements

  • 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.

Benefits

  • Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents.
  • 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.
  • Generous employee referral program!
Before You Apply
️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Director of Data Science Production Engineering @Natera
Data and Analytics
Salary $186,300 β€” $232..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted 1mth ago
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️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
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Applied βœ“
Sent Follow-Up βœ“
Interview Scheduled βœ“
Interview Completed βœ“
Offer Accepted βœ“
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Application Denied βœ“
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