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Va Coding Jobs in New Jersey (NOW HIRING)

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Va Coding information

What is a VA coder?

A VA coder is a medical coding specialist who works for the U.S. Department of Veterans Affairs (VA). Their primary role is to review clinical documentation and assign standardized codes for diagnoses, procedures, and services provided to veterans. These codes are essential for billing, data collection, and ensuring compliance with federal regulations. VA coders typically use coding systems such as ICD-10, CPT, and HCPCS, and must stay current with the latest coding guidelines. They play a key role in facilitating accurate healthcare records and reimbursement processes within the VA system.

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

To thrive as a VA Coder, you need a strong understanding of medical terminology, ICD-10-CM, CPT, and HCPCS coding systems, as well as a relevant certification such as CPC or CCS. Proficiency with electronic health record (EHR) systems and coding software like VistA or 3M is typically required. Attention to detail, analytical thinking, and strong organizational skills are crucial soft skills for ensuring accurate code assignment and compliance. These abilities ensure precise billing, regulatory compliance, and optimal reimbursement in the VA healthcare system.

What are the most common challenges faced by VA coders, and how can new hires prepare for them?

VA Coders often encounter challenges related to keeping up with frequent updates to coding standards, such as ICD-10-CM and CPT, and navigating complex patient records within the Veterans Affairs healthcare system. New hires can prepare by developing strong attention to detail, staying current with official coding guidelines, and seeking mentorship from more experienced coders on their team. Additionally, effective communication with providers and other healthcare staff is key to clarifying documentation and ensuring accurate coding, which directly impacts compliance and reimbursement.

What is the difference between Va Coding vs Medical Coding?

AspectVa CodingMedical Coding
Required CertificationsVA-specific coding certifications, VA coding trainingCertified Professional Coder (CPC), Certified Coding Specialist (CCS)
Work EnvironmentVeterans Affairs healthcare facilities, government officesHospitals, clinics, healthcare providers
Industry UsagePrimarily within VA healthcare systemBroader healthcare industry
Common Search/ComparisonVa Coding vs Medical CodingMedical Coding

Va Coding and Medical Coding share similarities in coding principles and certifications, but Va Coding is specialized for the Veterans Affairs healthcare system, focusing on VA-specific procedures and regulations. Medical Coding is more widely used across various healthcare providers and requires different certifications. Both roles involve accurate medical record coding, but Va Coding is tailored to government healthcare settings, whereas Medical Coding applies broadly in the healthcare industry.

How to become a medical coder in VA?

To become a medical coder, you typically need to complete a coding training program or obtain certification such as the Certified Professional Coder (CPC) or Certified Coding Specialist (CCS). Relevant skills include knowledge of medical terminology, coding systems like ICD-10 and CPT, and attention to detail; some employers may also require prior experience or an associate degree in health information management.

What are popular job titles related to Va Coding jobs in New Jersey?

For Va Coding jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Va Coding jobs in New Jersey look for?

The top searched job categories for Va Coding jobs in New Jersey are:

Va Coding jobs near you
Infographic showing various Va Coding job openings in New Jersey as of August 2026, with employment types broken down into 68% Full Time, 22% Part Time, and 10% Contract. Highlights an 70% In-person, and 30% Remote job distribution.

Chief AI Subject Matter Expert - JobID-0274

Innovative Defense Technologies (IDT)

Mount Laurel, NJ • On-site

$198K - $328K/yr

Other

Posted 10 days ago

Job description

About The Role:
Innovative Defense Technologies (IDT), a leading defense technology company, is seeking a Chief AI Subject Matter Expert (SME) to be part of our Integrated Warfare Systems Division and based out of our Arlington, VA, Mt. Laurel, NJ, or San Diego, CA locations.
The Chief AI Subject Matter Expert will serve as a strategic and technical advisor on the effective adoption, implementation, and governance of artificial intelligence across the Division. They will spearhead the development of software in an AI-augmented engineering environment where generative AI tools are used throughout the software lifecycle - including requirements analysis, architecture design, code generation, test creation, debugging, documentation, and system analysis.

The SME will bring expert level knowledge of AI technologies including generative AI, Large Language Models (LLMs), machine learning, and AI automation, as well as responsible AI guidelines that translate into practical business solutions. They will help establish and champion AI-accelerated development practices across engineering teams, demonstrating how generative AI can dramatically increase engineering velocity while maintaining high reliability, security, and mission assurance standards required for defense systems.

The engineer will work within multidisciplinary teams to accelerate delivery, enhance reliability, and operationalize autonomous and intelligent behaviors across complex DoW systems. The ideal candidate combines deep AI expertise with strong business acumen and communication skills and can explain complex AI concepts to both technical and non-technical audiences.

The Integrated Warfare Systems Division is composed of four mission critical business units within the IDT organization and is directly responsible for building, testing, and deploying the Navy's next generation of tactical warfare and weapons systems. As the nation enters the 'technology-first' era of warfare, the Integrated Warfare Systems Division will be responsible for enabling and accelerating the mission critical tactical capability that is delivered to the warfighter. The AI Subject Matter Expert will work with our team of software and systems engineers building tactically relevant and technically innovative solutions to ensure the highest impact to the US Navy.
Clearance & Location Requirements:
  • All applicants must be able to obtain/maintain an active Secret U.S. Security Clearance.
  • This is an on-site position. Requiring at least 3 days in office, based out of our Arlington, VA, Mt. Laurel, NJ, or San Diego, CA locations.
Department Engineering Employment Type Full Time Location Mount Laurel, NJ Address 8000 Midlantic Drive, Suite 500 N, Mount Laurel, New Jersey, 08054 Open in Google Maps Workplace type Hybrid Compensation $198,000 - $328,000 / year Key Responsibilities
What You Will Do:
  • Serve as the organization's subject matter expert on AI, generative AI, LLMs, machine learning, and emerging AI capabilities
  • Lead the integration of AI Components into Complex DoW Software Environments
  • Lead the integration of AI models and services into mission-critical software systems.
  • Demonstrate and share AI-enabled engineering techniques that improve team productivity and software quality
  • Lead the definition and evolution of AI-augmented engineering standards, patterns, and best practices
  • Develop Intelligent Data Processing and NLP Pipelines
  • Deliver AIEnabled Dashboards, Interfaces, and Insights
  • Develop proofs-of-concepts and demonstrations to validate potential AI use cases
  • Prototype and evaluate emerging AI developer tooling (e.g. agent frameworks, code copilots, automated testing agents)
  • Use generative AI tools (e.g. LLM copilots, autonomous coding agents, AI test generators) as a core part of daily software engineering workflows
  • Mentor engineering teams on effective use of generative AI in development workflows
  • Help identify areas of the software lifecycle that can be accelerated through generative AI and automation.

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