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Clinical Review RN, Oncology AI Review

Natera, Inc. - US Remote

Posted Jun 9, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Not verified checked Jun 7, 2026
Salary
$82K-$103K From the posting source
401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$81,444 U.S. median for this role
Projected growth (BLS Employment Projections)
+6.9% - Faster than average

14% above the BLS role benchmark for healthcare aggregate.

Matched to SOC 29-1141 - Healthcare aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Healthcare From the posting source
Seniority
Mid From the posting source
Work mode
Remote From the posting source
In-office days
0 days From the posting source

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Equity
Offered Verified - SEC 10-K source

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Clinical Review RN, Oncology AI Review US Remote Clinical Review RN, Oncology AI Review Position Summary Natera is seeking an experienced Oncology Registered Nurse (RN) to support the clinical review and validation of AI-driven workflows that power Signatera reimbursement and coverage operations. This role will serve as a clinical subject matter expert responsible for reviewing complex oncology cases, auditing AI-generated clinical classifications, interpreting payer policy requirements, and providing feedback that improves the performance of Natera's clinical AI systems. The ideal candidate combines strong oncology expertise with a curiosity for technology and process improvement. This position is highly collaborative and will work closely with Clinical Operations, Revenue Cycle Management, Product, Engineering, and Data Science teams to improve the accuracy, scalability, and effectiveness of AI-assisted clinical review processes. Primary Responsibilities Clinical Case Review & Escalations - Review oncology patient records to determine whether cases meet clinical and payer policy requirements. - Serve as an escalation point for complex cases that cannot be accurately classified by AI workflows. - Analyze challenging clinical scenarios, including patients with multiple cancer diagnoses, complex treatment histories, and ambiguous documentation. - Document findings and recommendations within internal systems including Salesforce, LIMS, and other workflow tools. - Ensure accuracy and consistency of clinical review outcomes. AI Audit & Validation - Perform ongoing audits of AI-generated clinical determinations and data classifications. - Evaluate AI performance against established clinical review standards. - Identify errors, trends, and opportunities to improve automation accuracy. - Participate in validation activities for new AI models, workflows,

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