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Medical Coding Using Ai Jobs in Philadelphia, PA

RCH Solutions

Devops Engineer

Wayne, PA · Remote

$54 - $74/hr

Practical experience using AI coding tools (Copilot, Claude, etc.) in a professional setting ... Comprehensive health and wellness benefits, including Medical, Dental, and Vision Insurance

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Medical Coding Using Ai information

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How much do medical coding using ai jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for medical coding using ai in Philadelphia, PA is $22.63, according to ZipRecruiter salary data. Most workers in this role earn between $18.17 and $24.28 per hour, depending on experience, location, and employer.

What is medical coding using AI?

Medical coding using AI refers to the application of artificial intelligence technologies to automate the process of translating healthcare diagnoses, procedures, and services into standardized codes. AI-powered systems use natural language processing and machine learning to analyze clinical documentation and accurately assign the appropriate medical codes. This helps healthcare providers improve efficiency, reduce errors, and ensure proper billing and reimbursement. As AI continues to evolve, it is increasingly being integrated into healthcare revenue cycle management to streamline operations and support compliance.

How does working with AI tools change the daily workflow for medical coders?

Integrating AI tools into medical coding streamlines many routine tasks, such as extracting relevant information from clinical notes and suggesting appropriate codes. This allows medical coders to focus more on complex cases, code validation, and quality assurance. Collaboration with IT specialists and healthcare providers may increase as coders provide feedback on AI system performance and help refine its accuracy. Adapting to new technologies can be a challenge at first, but it often leads to improved productivity, fewer manual errors, and opportunities for professional development in health informatics.

What are the key skills and qualifications needed to thrive as a medical coding using AI specialist?

To thrive as a Medical Coding Using AI specialist, you need a strong understanding of medical terminology, coding standards (like ICD-10 and CPT), and healthcare compliance, often supported by a certification such as CPC or CCS. Familiarity with AI-based coding platforms, electronic health records (EHR) systems, and healthcare data analytics tools is typically required. Analytical thinking, attention to detail, and adaptability are crucial soft skills for interpreting complex records and working with evolving technologies. These skills ensure accurate, efficient coding and compliance with regulations, enabling healthcare organizations to optimize billing and patient care.

What is the difference between Medical Coding Using Ai vs Medical Coding Specialist?

AspectMedical Coding Using AiMedical Coding Specialist
CredentialsNone required; relies on AI softwareCertification (e.g., CPC, CCS)
Work EnvironmentPrimarily digital, often remoteOffice or remote, depending on employer
Industry UsageUsed by healthcare providers and tech companiesEmployed by hospitals, clinics, insurance companies
Job FocusAI-driven coding automation and oversightManual coding, review, and compliance

Medical Coding Using Ai involves leveraging artificial intelligence to automate and assist coding tasks, reducing manual effort. In contrast, a Medical Coding Specialist manually reviews and assigns codes based on medical records, requiring certification and expertise. While AI enhances efficiency, specialists ensure accuracy and compliance. Both roles are vital in healthcare billing and coding workflows, often working together to optimize processes.

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Medical Coding Using Ai jobs near you
Infographic showing various Medical Coding Using Ai job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $47,062 per year, or $22.6 per hour.

Healthcare Data Scientist & AI Solutions

BioVid

Bristol, PA • Remote

Full-time

Re-posted yesterday

Job description

BioVid is transforming pharmaceutical market research by replacing slow, traditional methodologies with AI-augmented data systems.

In this role, you will personally analyze the data to uncover HCP prescribing behavior and behavioral insights. You will help bridge quantitative real-world data with qualitative market research, and play a key role in developing synthetic audiences (“Digital Twins”) that mirror healthcare provider prescribing behavior and patient treatment journeys, while enabling scalable forecasting, segmentation, and market intelligence solutions.


Must-Have Qualifications


Hands-on analysis of medical / pharmacy claims data (EHR preferred)

Direct, hands-on experience analyzing the data itself — not only engineering it. You can extract and predict HCP prescribing behavior for specific drugs, for specific conditions, in specific treatment areas, and tag HCP qualitative / attitudinal segments to NPIs, associating those segments with real prescribing behavior. HIPAA requirements fluent (most of our data will be deidentified)

  • Analyze medical and pharmacy claims to extract and predict HCP prescribing behavior for specific drugs, conditions, and treatment areas.
  • Perform HCP / patient segmentation, demand forecasting, journey mapping, modeling
  • Help build Synthetics, simulated segments and HCP equivalents.
  • Machine Learning experience in modeling training and evaluating models (LLM fine tuning, training a nice to have)
  • Tag qualitative / attitudinal HCP segments to NPIs and link them to observed prescribing behavior.
  • Translate these analyses into actionable segmentation, targeting, and forecasting insights.


Data Cleaning, Processing, Augmentation and Transformation

  • Data cleaning, scarcity, gap analysis, joining and data augmentation, transformation to create partitions, data marts and analytics workspaces for analysis and modeling in AWS/Athena.

Key Responsibilities


Data Integration & Modeling

  • Data cleaning, scarcity, gap analysis, joining and data augmentation, transformation to create partitions, data marts and analytics workspaces for analysis and modeling inAWS/Athena.
  • Resolve identity matching, tokenization, and data harmonization challenges across disparate sources.
  • Build scalable, tested, and version-controlled data models using dbt on AWS/Athena.


Data Quality, Governance & Compliance

  • Implement automated data quality checks using tools such as Great Expectations or equivalent.


Analytics, AI & Machine Learning

  • Conduct advanced exploratory data analysis (EDA) and feature engineering using SQL, Python, pandas, and numpy.
  • Analyze claims data to model and predict HCP prescribing behavior by drug, condition, and treatment area, and associate attitudinal segments with NPIs.
  • Build AI-powered synthetic provider and patient personas grounded in real-world claims distributions.
  • Develop methods to scale qualitative research insights into national quantitative projections.
  • Machine Learning experience in modeling training and evaluating models. (LLM fine tuning and training a nice to have
  • Perform (or help perform) and automate pharmaceutical market research including:
  • HCP segmentation
  • Demand forecasting
  • Patient journey mapping
  • Audience simulation


API & Product Delivery

  • Build and maintain performant backend APIs using FastAPI, deployed on AWS (e.g., ECS/Fargate, App Runner, or Lambda).
  • Deliver data products, personas, and insights to internal tools and client-facing applications.


Skills & Experience

  • 5+ years in Analytics Engineering, Data Engineering, Data Science, or similar roles.
  • Proven ownership of end-to-end data pipelines and scalable analytics systems on AWS.
  • Hands-on experience with AWS data and analytics tooling, including Athena, S3, Glue, and SageMaker (AWS is the primary environment).
  • Strong experience with healthcare claims and EHR data (Rx, Dx, medical, pharmacy) and major data vendors such as IQVIA, Komodo, Symphony, or Definitive Healthcare.
  • Demonstrated hands-on analysis of medical/pharmacy claims to extract and predict HCP prescribing behavior and tag attitudinal segments to NPIs.
  • Expert SQL and strong Python skills, including pandas and large-scale data workflows.
  • Understanding of pharma market research, including patient journeys, HCP segmentation, and demand modeling.
  • Experience integrating survey or primary research data with large quantitative datasets.
  • Comfortable using AI coding assistants and agentic development tools to accelerate delivery.