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Remote Medical Coder Jobs in Pawtucket, RI (NOW HIRING)

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Remote Medical Coder information

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How much do remote medical coder jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for remote medical coder in Pawtucket, RI is $20.92, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $22.21 per hour, depending on experience, location, and employer.

How much can a remote medical coder make working from home?

Remote medical coders typically earn between $40,000 and $70,000 annually, depending on experience, certifications, and the complexity of coding tasks. Some experienced professionals or those with specialized skills can earn higher salaries, especially if working for large healthcare organizations or as independent contractors.

Is remote medical coding worth it?

Remote medical coding is a legitimate career that offers flexibility and the ability to work from home. It requires certification, attention to detail, and knowledge of coding systems like ICD-10 and CPT. Many find it a rewarding option with steady demand in healthcare administration.

How do remote medical coders typically communicate and collaborate with healthcare providers and team members?

Remote Medical Coders often collaborate with healthcare providers, billing teams, and other coders through secure digital platforms, email, and scheduled video conferences. Clear communication is essential to clarify documentation, resolve coding discrepancies, and ensure accurate billing. Many employers use specialized health information systems and project management tools to streamline workflow and maintain HIPAA compliance. Frequent virtual meetings and messaging help foster teamwork and keep everyone aligned, even when working from different locations.

What are the key skills and qualifications needed to thrive as a remote medical coder, and why are they important?

To thrive as a Remote Medical Coder, you need a solid understanding of medical terminology, anatomy, and coding systems such as ICD-10 and CPT, usually supported by a coding certification (e.g., CPC, CCS). Familiarity with electronic health records (EHRs) and coding software like 3M or Epic is essential for accurate and efficient work. Attention to detail, time management, and strong written communication skills help remote coders excel in independent, deadline-driven environments. These abilities ensure accurate billing, compliance with regulations, and minimal claim denials, which are critical for healthcare organizations' operational and financial success.

What is the difference between Remote Medical Coder vs Remote Medical Biller?

AspectRemote Medical CoderRemote Medical Biller
CertificationsCertified Professional Coder (CPC), CCSCertified Medical Reimbursement Specialist (CMRS), CPC
Work EnvironmentAnalyzing medical records, coding diagnoses and proceduresSubmitting claims, following up on payments
Industry UsageHealthcare providers, hospitals, clinicsInsurance companies, billing services, healthcare providers

Remote Medical Coders and Remote Medical Billers often work together but focus on different tasks. Coders assign codes based on medical records, while Billers handle claims submission and payment follow-up. Both roles require similar certifications and are essential in healthcare revenue cycle management.

How to get a remote job as a remote medical coder?

To secure a remote medical coder position, obtain relevant certifications such as CPC or CCS, gain experience with coding software and medical records, and build a strong resume highlighting your accuracy and attention to detail. Job seekers should search on online job boards, network with industry professionals, and tailor applications to remote coding roles that specify telecommuting options.

What is a remote medical coder?

A remote medical coder is a healthcare professional who reviews clinical documents and assigns standardized codes for diagnoses, procedures, and medical services, all while working from a remote location such as their home. These codes are essential for billing, insurance claims, and maintaining patient records. Remote medical coders typically use electronic health records (EHR) and must have a strong understanding of medical terminology, coding systems like ICD-10 and CPT, and relevant regulations. Working remotely offers flexibility but still requires attention to detail, confidentiality, and adherence to industry standards.

What does a remote medical coder do?

Remote medical coders are medical coders who work from home or locations outside of healthcare facilities. They process patient information, such as diagnosis, services rendered, and equipment used to conduct tests, in order to translate it into medical codes consisting of numbers and letters. Billing and coding specialists manage this information so that patients or their insurance companies can be billed appropriately. Remote medical coders may be self-employed or work for large coding firms that contract with hospitals or healthcare facilities.

What are the most commonly searched types of Medical Coder jobs in Pawtucket, RI?

The most popular types of Medical Coder jobs in Pawtucket, RI are:

What are popular job titles related to Remote Medical Coder jobs in Pawtucket, RI?

For Remote Medical Coder jobs in Pawtucket, RI, the most frequently searched job titles are:

What job categories do people searching Remote Medical Coder jobs in Pawtucket, RI look for?

The top searched job categories for Remote Medical Coder jobs in Pawtucket, RI are:

What cities near Pawtucket, RI are hiring for Remote Medical Coder jobs?

Cities near Pawtucket, RI with the most Remote Medical Coder job openings:

Infographic showing various Remote Medical Coder job openings in Pawtucket, RI as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $43,520 per year, or $20.9 per hour.

Manager, Clinical Informatics & Analytics, Women's Health & Genomics

CVS Health

Woonsocket, RI • On-site, Remote

$101K - $203K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,335 frontline employees who took The Breakroom Quiz

89th of 112 rated pharmacies


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

*This remote role can be performed in any US time zone, however supporting PST business hours is preferred.*

Position Summary

The CVS Health Women's Health and Genomics team is part of the Enterprise Medical Affairs organization group responsible for advancing the highest clinical quality standards, increasing access to care, improving patient outcomes and reducing health care costs across the enterprise. We deliver effective and efficient solutions that span a broad range of clinical priorities and initiatives.

As Manager, Clinical Informatics & Analytics, on the Enterprise Women's Health and Genomics Team, you will be responsible for advanced analytics, clinical informatics, modeling of clinical and claims data, and hypothesis-driven approaches to generate actionable, customer-centric insights. These insights will help operationalize the strategy and drive growth, ensure cost-effectiveness, improve health outcomes, and expand access to healthcare across all CVS Health businesses. Your work will also inform financial reporting to enterprise business partners.

This role aligned with a Sr. Decision Scientist position will also help support opportunities to develop and deploy AI/ML solutions for Women's Health & Genomics operations with a focus on improving workflows, administrative efficiencies, quality, cost, and access.

In this role, you will support the team's Data Scientist lead with the following:

  • Analyze claims, utilization, and clinical data to inform strategic initiatives and identify healthcare gaps and opportunities
  • Explore structured and unstructured clinical datasets to uncover patterns to generate structured, actionable downstream analytics, and predictive modeling
  • Use Business Intelligence (BI) tools and reporting platforms (Tableau, Power BI, SQL, SAS)
  • Develop operational reports and dashboards
  • Cross-functional partnership to identify needs, mitigate risk, and drive alignment
  • Serve as a SME for analytics workflows and with data governance
  • Partner with enterprise AI, data science, and technology teams under enterprise governance to deploy scalable AI solutions into production workflows
  • Apply and operationalize responsible AI principles to automate analytics workflows, improve reporting efficiency, and accelerate insight generation

Essential Qualifications:

  • 5+ years' experience in healthcare analytics, finance, or strategy with 2+ years in data science, machine learning (ML), or applied Natural Language Processing (NLP)
  • Experience in clinical analytics environment (preferably relative to women's health and genomics)
  • Knowledge of clinical diagnostic and billing coding systems and terminologies (ICD-10, CPT, etc.)
  • Strong knowledge of reimbursement models (FFS and value-based care) and claims-based analytics
  • Advanced BI and statistical analysis skills with experience in ML platforms
  • Experience with PHI handling, compliant with privacy and security laws: HIPAA, etc.
  • Proven ability to be proactive, creative, and nimble in their approach to enable success in a fast-paced and dynamic environment
  • Ability to simultaneously manage multiple projects and initiatives across a range of topic areas
  • Willingness to work within matrixed teams to drive innovation and value but also to continuously adapt as required

Preferred Qualifications:

  • Proficiency in Python and SQL for working with large-scale healthcare datasets
  • Technical - Aetna Applications/Enterprise Data Warehouse/2-5 Years/Power User
  • Technical - Data visualization software (ex. ThoughtSpot, Tableau)

Education:

  • Required: Bachelor's degree in health informatics, biostatistics, computer science, data science mathematics, biomedical informatics, or related-or an equivalent combination of formal education and experience
  • Preferred: Master's degree or higher in Health Informatics, Biomedical Informatics, Clinical Informatics, Public Health, Epidemiology, Data Science or AI in a related field is a plus

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$101,970.00 - $203,940.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/28/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.


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