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Contract Dental Rcm Jobs (NOW HIRING)

We're hiring the person who finds what those reports leave out. * Healthcare data, payer analytics, insurance operations, or RCM background: Dental not required, but you need to understand how ...

This is a contract-to-hire position (40 hours per week) We're looking for a sharp, tech-savvy ... help improve our RCM processes using data. Key Responsibilities: * Accurately verify dental ...

RCM Contracts Manager

Miramar, FL · On-site

$81K - $108K/yr

Medical, Vision, Dental, Short- and Long-term insurance * 6+ Days of Holidays Pay * 17 days of PTO ... This role serves as the subject matter expert for payer reimbursement terms, contract ...

$65K - $87K/yr

Medical, Vision, Dental, Short- and Long-term insurance * 6+ Days of Holidays Pay * 17 days of PTO ... This role serves as the subject matter expert for payer reimbursement terms, contract ...

NY · On-site

$87K - $117K/yr

Medical, Vision, Dental, Short- and Long-term insurance * 6+ Days of Holidays Pay * 17 days of PTO ... This role serves as the subject matter expert for payer reimbursement terms, contract ...

PA · On-site

$50 - $55/hr

RCM HealthCare Travel is seeking a local contract Occupational Therapist for a local contract job ... Comprehensive benefits that include medical, dental, and vision * Company-paid Basic Life/AD&D and ...

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Contract Dental Rcm information

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How much do contract dental rcm jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for contract dental rcm in the United States is $22.92, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $24.76 per hour, depending on experience, location, and employer.

What is a contract dental RCM?

A Contract Dental RCM (Revenue Cycle Management) professional is someone who manages the financial processes related to dental care, often on a contractual or outsourced basis. Their main responsibilities include handling dental billing, claims submissions, payment posting, and resolving insurance issues to ensure the dental practice receives proper payment for services rendered. By optimizing these processes, a Contract Dental RCM helps improve cash flow and reduce errors in the practice's financial operations.

What are the key skills and qualifications needed to thrive as a contract dental RCM?

To thrive as a Contract Dental RCM Specialist, you need a solid understanding of dental billing, insurance verification, coding (such as CDT codes), and accounts receivable management, often supported by experience in dental office administration. Familiarity with dental practice management software (like Dentrix or Eaglesoft), electronic claims processing systems, and sometimes certification in medical/dental billing are typical requirements. Excellent attention to detail, strong organizational skills, and effective communication are crucial soft skills to excel in this role. These competencies are vital for ensuring accurate claim submissions, minimizing revenue loss, and maintaining efficient financial operations in dental practices.

What are some common challenges faced by contract dental RCM professionals, and how can they be managed?

Contract Dental RCM (Revenue Cycle Management) professionals often face challenges such as navigating frequent changes in dental insurance policies, ensuring timely and accurate claims submission, and managing denials or claim rejections. To manage these hurdles, staying updated on payer guidelines, maintaining clear communication with dental providers, and utilizing advanced RCM software are essential. Additionally, collaborating closely with both clinical and administrative teams helps streamline workflows and reduce billing errors, ultimately improving collection rates and overall efficiency.

What is the difference between Contract Dental Rcm vs Dental Billing Specialist?

AspectContract Dental RcmDental Billing Specialist
CertificationsTypically requires knowledge of RCM processes, billing, coding, and insuranceRequires dental coding and billing certifications, such as CPC or CDA
Work EnvironmentOften remote or contract-based, working with multiple practices or companiesUsually in-office or remote, focused on specific dental practices
Industry UsageUsed across dental practices for revenue cycle managementPrimarily in dental offices handling billing and claims

Contract Dental Rcm professionals focus on managing the entire revenue cycle, including claims processing and insurance follow-up, often working on a contractual basis. Dental Billing Specialists concentrate on billing, coding, and submitting claims within a dental practice. While both roles require billing and coding knowledge, Contract Dental Rcm roles typically involve broader revenue management responsibilities and may be more flexible in work arrangements.

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Infographic showing various Contract Dental Rcm job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $47,678 per year, or $22.9 per hour.

Healthcare Data Analyst

Manhattan, NY • On-site

Full-time

Re-posted 12 days ago


Job description


About AirPay
AirPay automates dental insurance verification and revenue cycle workflows for dental practices. We process millions of eligibility and benefit transactions annually, sourcing data from payer portals, EDI pipelines, and direct connections. Our data team sits at the intersection of scraper engineering, payer operations, and product, turning raw benefit data into actionable outputs for practices and their patients.
The Role
We're looking for someone whose job is to find what's silently wrong or missing in our benefit data, before a practice or a patient does. This isn't a reporting role and it isn't a dashboard role: the deliverable is catching the problem everyone else's tidy summary missed. Coverage that reads "active" but lapsed last month. A field that comes back blank and gets quietly treated as "no benefit." A payer whose data looks clean until you notice an entire location's records are null. You'll own a slice of our verification pipeline (a set of payers, a data domain, a monitoring surface) and run it: surface what actually matters, with evidence, without needing every anomaly pointed out to you first. You'll report to the Head of Data and work as a peer-level collaborator with engineering, customer success, and operations.
What You'll Own
  • Data quality investigations: Run structured investigations into benefit data anomalies across 100+ payers. Triggers are both scheduled (cohort comparisons between data sources: portal-scraped vs EDI vs internal estimates) and signal-driven (customer escalations, operational reports). Output is engineer-actionable findings documents: what's broken, where, what evidence, and critically, what's wrong that nobody flagged. Common patterns include coverage-percentage inversions, blank-fill in returned data passed off as a real answer, frequency-normalization gaps (such as "12 months" vs "1 service year"), and stale data carrying across plan changes.
  • Completeness and accuracy monitoring: Own a monitoring surface and define what "healthy" looks like for it, then catch when reality drifts from it. The hard part isn't building the dashboard; it's noticing the gap the dashboard doesn't show.
  • Customer issue triage analysis: Own the weekly pattern analysis on customer-issue tickets. Categorize ticket types, track volume trends, identify recurring root causes, and surface signal that drives parser fixes, product changes, or QA process updates.
  • Ad hoc investigations: When a payer behaves unexpectedly or a hypothesis needs checking, you scope and run the investigation and write up the findings, starting from a vague "something looks off," not a pre-scoped ticket.

Requirements
What We're Looking For
Required:
  • 3 to 5 years where finding what's missing or wrong was the job: data quality, completeness and validation, data audit, reconciliation, or investigative analytics. If your prior work was producing clean reports and dashboards, this is a different role. We're hiring the person who finds what those reports leave out.
  • Healthcare data, payer analytics, insurance operations, or RCM background: Dental not required, but you need to understand how benefit structures work (coinsurance, deductibles, frequency limits, network tiers).
  • Strong data skills: comfortable in SQL and Excel/Sheets, can write a structured query, build a pivot, and sanity-check a dataset without hand-holding. More important than tooling breadth is the instinct to distrust a clean-looking result and dig until you know why it's clean.
  • Self-directed ownership of an area. Point you at a payer, a domain, or a surface, and you run it: scope the questions, find the issues, frame them for a business audience, without per-step direction.
  • Clear written communication: Output is findings documents and structured reports, not just raw data.

Strong plus:
  • EDI X12 familiarity (270/271 eligibility transactions especially).
  • Experience at a health tech company, payer, or benefits administrator.
  • Comfort with Python or scripting for data manipulation.
  • Experience with parser output, portal data, or unstructured benefit text.

Growth Path
This is the first analyst hire on a growing data team. Several surfaces you'd eventually own, such as the data quality scorecard, deeper engineering interfaces, and the team's operating rhythm, are still being built. You'd help shape them rather than inherit fully-formed processes. The role anchors day-one as a data-quality specialist owning a defined slice of the pipeline, with specialization paths opening as the team matures: EDI and payer-depth analysis, customer-facing analytics delivery, or clinical/dental content expertise.
Why This Role
  • High-signal, low-noise work: you'll see anomalies across the entire benefit landscape before anyone else does, and you're the one trusted to catch them.
  • Direct impact: your findings drive parser fixes, product features, and QA standards.
  • Small team with high ownership: no queuing behind a data engineering backlog.
  • Comp: competitive for mid-level healthcare data roles in NYC.