Data Mining Senior Auditor
MedReview Inc. · United States · US
Clinical Data Science
Remote
Not yet analysed
Demand78
Career growth68
Healthcare fit58
Remote potential45
Salary band
USD 85k – 90k
5-year outlook
Senior payment integrity and claims data mining auditors with payer or consulting experience should see stable demand and competitive compensation, but exact pay varies by employer, market, and analytics/audit depth. Growth is tied to healthcare cost-containment and payer investment in payment integrity analytics.
Clinical license
Not required
Applicant reach
narrow
Seniority
senior
Employment type
full-time
Date found
2026-10-22
Intelligence details
Flexible work details
- Engagement type
- Permanent
- Hours
- Full-time
- Eligible countries
- United States
- Rate period
- Annual
Listing via Himalayas.
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth applying only if you already have healthcare claims, payment integrity, audit, or data mining experience; clinicians without that background will likely be screened out.
Who should apply
Clinicians with payer, managed care, claims auditing, utilization review, coding/reimbursement, or healthcare analytics experience, especially nurses, doctors, or pharmacists who have worked in payment integrity, cost-containment, or claims review.
CV angle
Reframe clinical and operational experience around healthcare claims knowledge, reimbursement methodologies, audit findings, cost-savings, data analysis, quality control, reporting, and cross-functional leadership. Quantify any audit, utilization, savings, or analytics work without inventing claims-specific experience.
Skills to highlight
- Healthcare claims analysis
- Payment integrity auditing
- Data mining
- Reimbursement methodologies
- Audit methodology and quality control
- Dashboards and operational reporting
- Cross-functional collaboration
- Leadership
Role summary
Senior auditor in a payment integrity team using healthcare claims data mining, audit algorithms, and reporting to identify overpayments and cost-savings for health plan clients.
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