Dedicated to oncology, women’s health, and organ health. Natera’s cell-free DNA tests help protect health and inform more personalized decisions about care. Backed by Lightspeed and Sequoia.
About the role
This is an exciting opportunity to participate in advancing Natera’s oncology product portfolio of cutting-edge diagnostic tests. As Manager of Statistical Programming, you will leverage your strong R programming skills and clinical trials background to contribute to the analysis and reporting of clinical trials supporting multiple regulatory submissions. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor’s in Statistics, Mathematics, Computer Science, or a related field
- 5+ years of related experience, with at least 3 years of experience in Clinical Trial analysis
- At least 3 years of R programming experience, including package development
- Proficient in R programming, including building and maintaining packages
- Experience in analysis dataset and TLF generation
- Prior experience in NGS, genetics, and/or oncology diagnostics preferred
More about this role
This is an exciting opportunity to participate in advancing Natera’s oncology product portfolio of cutting-edge diagnostic tests. As Manager of Statistical Programming, you will leverage your strong R programming skills and clinical trials background to contribute to the analysis and reporting of clinical trials supporting multiple regulatory submissions.
- Lead and oversee statistical programming deliverables, including ADS (Analysis Datasets) and TLF (Table, Listings and Figures), ensuring data integrity and regulatory compliance with ICH, GCP, and FDA 21 CFR Part 11.
- May manage a team of statistical programmers, taking responsibility for their technical and professional development, while contributing hands-on to programming work.
- Act as primary programming lead for regulatory submissions (e.g., 510(k), CTA/CDx, and PMA), ensuring all deliverables meet rigorous global standards.
- Maintain programming infrastructure, including R package development, validation, and maintenance in a controlled environment.
- Develop R Shiny dashboards that support data review, study monitoring, and exploration of analysis results.
- Promote statistical programming development and validation...
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