Lead Statistical Programmer – Oncology Trials (Remote)

Natera, Inc.

Northern (KY)

Hybrid

USD 132,000 - 165,000

Full time

38 hours ago
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Benefits offered by this job

Competitive Benefits
Free cfDNA testing info
401k benefits
Commuter benefits
Employee referral program

Job summary

Natera is seeking a Manager of Statistical Programming to lead the statistical programming deliverables for oncology trials, with strong R programming and clinical trials background. You’ll contribute to analyses for regulatory submissions and help maintain a controlled programming environment.

You will oversee ADS and TLF development, build R packages and Shiny dashboards for data review and monitoring, and collaborate cross-functionally to drive best practices in statistical programming.

Qualifications

  • Bachelor’s degree in statistics, mathematics, computer science or a related field.
  • 5+ years of related experience, including 3+ years in clinical trial analysis.
  • At least 3 years of R programming experience, including package development.

Responsibilities

  • Lead and oversee statistical programming deliverables, including ADS and TLF, ensuring data integrity and regulatory compliance.
  • May manage a team of statistical programmers and contribute hands-on to programming work.
  • Act as primary programming lead for regulatory submissions (510(k), CTA/CDx, PMA).
  • Maintain programming infrastructure, including R package development, validation, and maintenance.
  • Develop R Shiny dashboards to support data review and study monitoring.
  • Promote statistical programming development and validation best practices.
  • Work cross-functionally with Biostats, Data Management, Clinical Science and other functions.

Skills

Leadership
Cross-functional collaboration
Regulatory knowledge

Education

Bachelor's in Statistics/Math/CS

Tools

R programming
R package development
ADS generation
TLF generation

Job description

Natera is seeking a Manager of Statistical Programming to lead the statistical programming deliverables for oncology trials, with strong R programming and clinical trials background. You’ll contribute to analyses for regulatory submissions and help maintain a controlled programming environment.

You will oversee ADS and TLF development, build R packages and Shiny dashboards for data review and monitoring, and collaborate cross-functionally to drive best practices in statistical programming.

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