Skills this job asks for
StatisticsComplianceGoogle Cloud
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Where you can work from
United States only
Based on the listing's location: Remote (USA).
The company's headquarters is not the same as where you may work from. Visa sponsorship only matters if you would relocate; see below.
Visa sponsorship, if you would relocate
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal: ask the recruiter.
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No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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✓
What Natera paid sponsored hires in similar roles4 certified filings for “Manager Data Science” (Molecular and Cellular Biologists) in CA: $140k–$168k, median $154k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Natera paid sponsored hires in similar roles
- 4 certified filings for “Manager Data Science” (Molecular and Cellular Biologists) in CA: $140k–$168k, median $154k. Most were filed at wage level IV (50%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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Before you apply
Sponsorship unknown
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
These come from the posting’s own wording. Read the original listing to confirm. See better-fit alternatives →
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.
Primary Responsibilities:
• 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 best practices.
• Work cross-functionally with Biostats, Data Management, Clinical Science, and other functions as necessary.
Qualifications:
• 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.
Knowledge, Skills, and Abilities:
• 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.
• Experience maintaining statistical computing environments a plus.
The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.
Remote USA
$132,000—$165,350 USD
OUR OPPORTUNITY
Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.
The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.
WHAT WE OFFER
Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, 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. We also offer a generous employee referral program!
For more information, visit www.natera.com .
Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, expe
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