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Medical Coder Internship Jobs in Virginia (NOW HIRING)

Medical Technician Float Job Code: LA3381 ABOUT US We are ushering in a new era of healthcare where ... Experience: 1 year of experience as a Medical Laboratory Scientist preferred. (Clinical internships ...

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Medical Coder Internship information

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$15

$22

$34

How much do medical coder internship jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for medical coder internship in Virginia is $22.23, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $23.85 per hour, depending on experience, location, and employer.

What is a medical coder internship?

A Medical Coder Internship is a temporary, supervised position that allows students or recent graduates to gain practical experience in medical coding within a healthcare setting. Interns learn to review clinical documents, assign standardized codes for diagnoses and procedures, and ensure accurate billing and record-keeping. This hands-on training is designed to help aspiring coders apply classroom knowledge, familiarize themselves with coding systems like ICD-10 and CPT, and develop skills necessary for a full-time medical coding career.

What are the qualifications to get a medical coder internship?

The primary qualifications for a medical coder internship are enrollment in or graduation from a medical coding program and the ability to acquire a relevant coding certificate. You do not always need a coding certificate for an internship, but they can help you stand out from other applicants. Most medical coders wait until fairly late in their education to seek this kind of internship, as unlike in some other fields, medical coding requires a strong foundation in medical terminology and existing codes, and most students haven't mastered this until close to graduation. Fulfilling the responsibilities and duties of a medical coding internship requires attention to detail, communication skills, and organizational skills.

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

To thrive as a Medical Coder Intern, you need a strong understanding of medical terminology, anatomy, and basic coding concepts, often supported by coursework or enrollment in a health information management program. Familiarity with ICD-10, CPT coding systems, and electronic health record (EHR) software is typically required, and pursuing certification such as CPC or CCA is advantageous. Attention to detail, analytical thinking, and effective communication are crucial soft skills for accurately translating clinical data and collaborating with healthcare teams. These skills ensure precise coding, regulatory compliance, and support efficient healthcare billing and reimbursement processes.

What are some common challenges faced during a medical coder internship, and how can interns effectively overcome them?

Medical Coder Interns often encounter challenges such as understanding complex medical terminologies, accurately interpreting physicians' notes, and keeping up with frequent updates to coding standards. To overcome these challenges, interns should actively seek feedback from experienced coders, utilize available coding reference materials, and participate in training sessions provided by their organization. Building strong communication skills and asking questions when unsure can also help interns learn faster and avoid common coding errors.

What is the difference between Medical Coder Internship vs Medical Coder?

AspectMedical Coder InternshipMedical Coder
CredentialsTypically students or recent graduates, may have basic certificationsCertified Professional Coder (CPC) or equivalent required
Work EnvironmentTraining setting, supervised, often part-time or temporaryFull-time, independent or team-based in healthcare facilities
Employer & Industry UsageHospitals, clinics, training programsHospitals, physician offices, insurance companies
Search & Comparison IntentLearning, entry-level experienceProfessional work, career advancement

In summary, a Medical Coder Internship is a training position for those starting in the field, focusing on gaining experience under supervision. A Medical Coder is a certified professional responsible for coding medical records independently, often with more experience and credentials.

What are the most commonly searched types of Medical Coder jobs in Virginia?

The most popular types of Medical Coder jobs in Virginia are:

What are popular job titles related to Medical Coder Internship jobs in Virginia?

For Medical Coder Internship jobs in Virginia, the most frequently searched job titles are:

What cities in Virginia are hiring for Medical Coder Internship jobs?

Cities in Virginia with the most Medical Coder Internship job openings:

Infographic showing various Medical Coder Internship job openings in Virginia as of August 2026, with employment types broken down into 7% Internship, 60% Full Time, 26% Part Time, and 7% Temporary. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $46,238 per year, or $22.2 per hour.

Internship - Machine Learning (Python) Research & Applied AI

Novateur Research Solutions

Ashburn, VA โ€ข On-site

Other

Re-posted 17 days ago


Job description

Internship Opportunity โ€” Machine Learning (Python) | Research & Applied AI


Novateur Research Solutions, LLC is looking for motivated interns with strong Python programming skills to join our team working on cutting-edge machine learning and data-driven research.

We work on challenging, real-world problems where ML meets large-scale systems and complex dataโ€”ranging from healthcare to geospatial intelligence and simulation.

What you'll work on:

  • Medical image analysis (computer vision for healthcare applications)
  • Geospatial data mining and spatial intelligence
  • Long-term spatiotemporal modeling and forecasting
  • Large-scale microsimulation and computational modeling

Required Skills:

  • Strong Python programming ability
  • Experience with PyTorch or TensorFlow
  • Solid understanding of machine learning fundamentals
  • Comfort working with data structures and debugging code
  • Ability to learn quickly in a research-oriented setting

What you'll gain:

  • Hands-on experience solving real-world ML research problems
  • Exposure to interdisciplinary AI applications
  • Mentorship from experienced researchers and engineers
  • Opportunity to contribute to impactful, production-relevant research