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Commission Director Statistical Programming Jobs in Oregon

Assistant Library Director

The Dalles, OR · On-site

$80.32 - $98.79/hr

This position provides leadership for programming, outreach, community partnerships, staff ... Collect program evaluations, compile statistical data, and prepare reports to assess service ...

New

Director, Political & Commercial Insights

OR · On-site +1

$140K - $160K/yr

Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet ... Strong familiarity in individual-level statistical modeling, polling, managing experimental designs ...

... statistics, large-scale data visualization, and image analysis. Potential areas of research are ... Candidates with a strong proficiency in computer programming and big data management are preferred.

About CoLab At CoLab, we help mechanical engineering teams bring life-changing products to market ... Frequently cited statistics show that people who identify with historically marginalized groups ...

Partner with data engineering and BI to operationalize these models directly into seller and CSM ... Bachelor's degree in business, finance, economics, statistics, or a related field; MBA or advanced ...

Showing results 21-40

Commission Director Statistical Programming information

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Infographic showing various Commission Director Statistical Programming job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 8% Part Time, and 6% Contract. Highlights an 67% Physical, 1% Hybrid, and 32% Remote job distribution.

Director of Data Science Production Engineering, Extended-Hours Support

Natera

OR • On-site, Remote

Full-time

Posted yesterday

New


Natera rating

7.7

Company rating: 7.7 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

57th of 120 rated laboratories


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.

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