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Medical Coding Using Ai Jobs in Midland, PA (NOW HIRING)

Full Stack Java Developer with AI

Pittsburgh, PA · On-site

$51 - $65.75/hr

... coding tools Current environment is standardized on Windsurf, using Claude Sonnet 4-5 Experience may be: Professional or personal Coding agents, copilots, or AI-driven refactoring / testing tools ...

Write reusable, well-tested code and use AI-assisted tools (e.g., GitHub Copilot, ChatGPT) to ... Build, maintain, and support full-stack product features using PHP on the back end and Next.js on ...

Software Engineer

Pittsburgh, PA · On-site

$85K - $95K/yr

Write reusable, well-tested code and use AI-assisted tools (e.g., GitHub Copilot, ChatGPT) to ... Build, maintain, and support full-stack product features using PHP on the back end and Next.js on ...

Developing new AI methods and using existing ones to solve complex defense problems * Developing ... Deploying code into production AI systems * Taking end-to-end ownership of client problems

Developing new AI methods and using existing ones to solve complex defense problems * Developing ... Deploying code into production AI systems * Taking end-to-end ownership of client problems

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Medical Coding Using Ai information

See Midland, PA salary details

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

As of Jul 27, 2026, the average hourly pay for medical coding using ai in Midland, PA is $20.61, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $22.12 per hour, depending on experience, location, and employer.

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.

Can I use AI for medical coding?

Medical coding using AI involves employing artificial intelligence tools to automate the process of translating medical diagnoses and procedures into standardized codes. AI can improve efficiency and accuracy in coding tasks, but human oversight is often necessary to ensure compliance with coding guidelines and resolve complex cases. Professionals in this field should have knowledge of coding systems like ICD and CPT, and familiarity with AI software is beneficial.

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 is the highest paying job in medical coding?

The highest paying roles in medical coding typically include coding managers, clinical documentation improvement (CDI) managers, and coding directors, who oversee coding teams and ensure compliance. These positions often require advanced certifications like CPC, CCS, or CCS-P, along with extensive experience, and can earn six-figure salaries in healthcare organizations.

Which 3 jobs will survive AI?

Medical coding using AI is transforming the healthcare industry, but roles like medical coders, healthcare administrators, and clinical documentation specialists are likely to persist due to the need for human oversight, complex decision-making, and ethical considerations. These jobs require critical thinking, adaptability, and understanding of medical nuances that AI cannot fully replicate. Continuous learning and certification in healthcare standards will remain valuable in these roles.

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.

Is AI going to take medical coding jobs?

Medical coding using AI involves automating coding tasks with software that can analyze medical records and assign codes efficiently. While AI can handle routine coding, human coders are still essential for complex cases, quality assurance, and compliance, making AI a tool to augment rather than replace medical coding jobs.

What are the key skills and qualifications needed to thrive as a Medical Coding Using AI specialist, and why are they important?

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 cities near Midland, PA are hiring for Medical Coding Using Ai jobs? Cities near Midland, PA with the most Medical Coding Using Ai job openings:
Infographic showing various Medical Coding Using Ai job openings in Midland, PA as of July 2026, with employment types broken down into 66% Full Time, and 34% Part Time. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $42,869 per year, or $20.6 per hour.
Full Stack Java Developer with AI

Full Stack Java Developer with AI

Compunnel

Pittsburgh, PA • On-site

$51 - $65.75/hr

Contractor

Posted 4 days ago


Job description

Role Overview
We are building a new, highly secure, fault-tolerant application in Microsoft Azure to support high-volume data ingestion, ledger-based recordkeeping, and analytics reporting for a small, controlled user base (<10>
This system will orchestrate reliable, persistent API-driven workflows between internal clients and external partner organizations, ensuring zero data loss, strong consistency, and regulatory-grade security.
While this is a full-stack role (Java / Angular), the backend is the priority. The ideal candidate is comfortable owning distributed systems design, resiliency patterns, and cloud-native architecture, while still being capable of contributing to the Angular front end when needed.
Important: The project has aggressive and sometimes unreasonable timeline expectations.
We are specifically looking for engineers who are comfortable operating in that reality and using AI-assisted development tools to accelerate delivery.
Key Responsibilities
Backend & Systems Engineering (Primary)
Design and build Java / Spring Boot microservices deployed to Azure Kubernetes Service (AKS)
Implement high-volume, fault-tolerant data processing pipelines with strong delivery guarantees
Ensure persistent, reliable input delivery so clients never need to resend data
Build and maintain ledger-style recordkeeping services handling confidential datasets
Orchestrate API-based service calls between internal systems and partner organizations
Design for multi-region Azure deployments with:
= 10-minute RPO (targeting near-zero)
= 1-hour RTO
Implement caching and buffering strategies:
Initial: Azure Blob Storage
Roadmap: Kafka (event streaming) and Redis (in-memory caching)
Front End (Secondary)
Contribute to an Angular front end used by a small number of internal users
Support analytics and reporting views
Collaborate with backend services for secure data access
Cloud, Reliability & Security
Design for geo-distributed resiliency, queuing, and persistence
Apply Azure-native services for storage, caching, and messaging
Build systems aligned with U.S. Government security standards, including:
Familiarity with NIST 800-53
Understanding of Moderate / High security control environments
Support production deployments and operational readiness
AI-Augmented Development (Required)
Actively use or have experience with AI-assisted / agentic coding tools
Current environment is standardized on Windsurf, using Claude Sonnet 4-5
Experience may be:
Professional or personal
Coding agents, copilots, or AI-driven refactoring / testing tools
Candidates must be able to articulate how AI meaningfully improves their engineering workflow
Required Qualifications
Strong experience with Java and Spring Boot
Experience building and operating cloud-native applications in Azure
Hands-on experience with AKS / Kubernetes
Experience with distributed systems, fault tolerance, and high-volume data processing
Knowledge of persistent messaging, queuing, and caching patterns
Familiarity with Angular (full-stack capability strongly preferred)
Experience working with confidential or regulated data
Demonstrated use of AI tools in software development
Preferred / Nice-to-Have
Kafka, Redis, or other event-streaming platforms
Oracle databases (small footprint)
Multi-region Azure architecture
Analytics/reporting system experience
Prior work in government, regulated, or high-security environments
Experience working under tight timelines with evolving requirements

Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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