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Entry Level Risk Adjustment Coder Jobs in Pittsburgh, PA

Bill Review Supervisor I

Pittsburgh, PA · Hybrid

$22.17 - $35.66/hr

Certified Professional Coder (CPC) designation preferred PAY RANGE: CorVel uses a market based ... The level may impact the salary range and these adjustments would be clarified during the offer ...

Bill Review Supervisor I

Pittsburgh, PA · On-site

$22.17 - $35.66/hr

Certified Professional Coder (CPC) designation preferred PAY RANGE: CorVel uses a market based ... The level may impact the salary range and these adjustments would be clarified during the offer ...

Senior Estimator

Washington, PA · On-site

$24.45 - $44/hr

Act as the final say in the calculation, analysis, and adjustment of estimates * Present estimates ... Working knowledge to full understanding of local/national codes. * Ability to read and interpret ...

This entry-level role provides hands-on experience with system operations and observability tools ... Writes code, tests and deploys software. * Prepares technical and procedural documentation required ...

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Entry Level Risk Adjustment Coder information

See Pittsburgh, PA salary details

$15

$26

$42

How much do entry level risk adjustment coder jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for entry level risk adjustment coder in Pittsburgh, PA is $26.69, according to ZipRecruiter salary data. Most workers in this role earn between $18.41 and $33.61 per hour, depending on experience, location, and employer.

What is an Entry Level Risk Adjustment Coder job?

An Entry Level Risk Adjustment Coder reviews medical records to identify and assign accurate diagnosis codes for risk adjustment purposes. Their work ensures healthcare organizations receive appropriate reimbursement based on patient health conditions. They typically use ICD-10-CM codes and follow guidelines from CMS and other regulatory bodies. This role requires strong attention to detail, knowledge of medical terminology, and an understanding of risk adjustment models. Entry-level coders may work in various healthcare settings, including insurance companies, hospitals, or coding firms.

What are the key skills and qualifications needed to thrive in the Entry Level Risk Adjustment Coder position, and why are they important?

To thrive as an Entry Level Risk Adjustment Coder, you need a strong understanding of medical terminology, anatomy, and ICD-10-CM coding guidelines, typically supported by completion of a coding training program or relevant coursework. Familiarity with coding software, electronic medical records (EMR) systems, and coding certification such as CPC or CRC is often preferred. Attention to detail, analytical thinking, and effective communication are essential soft skills for this role. These skills and qualifications ensure the accurate coding of diagnoses for risk adjustment, compliance with regulations, and contribute to optimal healthcare reimbursement.

What does a typical workday look like for an entry level risk adjustment coder?

A typical day for an entry level risk adjustment coder involves reviewing patient medical records to identify and assign appropriate diagnostic codes based on clinical documentation. You’ll use specialized coding software and electronic health record systems to ensure accuracy and compliance with federal guidelines. Collaboration with senior coders, team leads, and occasionally clinicians is common when clarification or additional documentation is needed. Most entry level coders work in an office or remote environment and spend much of their day analyzing records, updating databases, and participating in training sessions to stay current on coding updates.

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What cities near Pittsburgh, PA are hiring for Entry Level Risk Adjustment Coder jobs? Cities near Pittsburgh, PA with the most Entry Level Risk Adjustment Coder job openings:
Risk Adjustment Associate Data Analyst (Medicare)- Hybrid

Risk Adjustment Associate Data Analyst (Medicare)- Hybrid

UPMC Health Plan

Pittsburgh, PA • Hybrid

Other

Posted 19 days ago


Job description

We are seeking a Risk Adjustment Associate Data Analyst to support Medicare Advantage (MA) and ACA Commercial risk adjustment programs. This role is responsible for producing accurate reporting, performing analytical reviews, and reconciling CMS and HHS risk adjustment response files. The analyst will work closely with senior analysts, operations teams, and business partners to support risk score accuracy, coding performance, and financial outcomes. This position focuses on foundational analytics and reporting rather than advanced predictive modeling and is ideal for an analyst with healthcare data experience and working knowledge of Medicare and ACA risk adjustment methodologies.

This is a Monday through daylight role and will be a hybrid shift consisting of working from home and in office.
Responsibilities:

  • Perform analytics and reporting for Medicare Advantage and ACA risk adjustment programs.
  • Analyze claims and clinical data to monitor risk score performance and identify trends or issues.
  • Reconcile CMS MA and HHS EDGE response files; investigate and document submission discrepancies Use SQL to query, validate, and analyze healthcare data for recurring and ad hoc reporting.
  • Develop and maintain reports and dashboards using Power BI or similar tools.
  • Summarize and communicate analytical findings to business and operational stakeholders.
  • Collaborate with analytics, data engineering, and risk adjustment operations teams.
  • Document methodologies and support continuous improvement of reporting processes
  • Bachelors degree in a quantitative or health-related field required.
  • 1-3 years of experience in risk adjustment reporting and analytics.
  • Equivalent education and experience considered.
  • Working knowledge of Medicare Advantage and ACA risk adjustment programs.
  • Understanding of CMS HCC and HHS HCC methodologies.
  • Experience reconciling CMS and/or HHS risk adjustment response files.
  • Strong SQL proficiency for healthcare data analysis.
  • Ability to interpret and clearly communicate analytical results.

Preferred Qualifications:

  • Experience with Snowflake.
  • Exposure to Python for analysis or automation.
  • Experience with Power BI or similar reporting tools.
  • Familiarity with claims and clinical data
    Licensure, Certifications, and Clearances:
  • Act 34


UPMC is an Equal Opportunity Employer/Disability/Veteran