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Virtual Medical Coder Jobs in Pasadena, CA (NOW HIRING)

AXS

Manager, Software Engineering - B2B

Los Angeles, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Benefits: We offer a comprehensive benefits package that includes: medical, dental and vision ... Round 3: 60-min virtual Technical Interview - C# and Backend Coding * Round 4: 45-min virtual ...

Gondola

Manager, Software Engineering - B2B- AXS

Los Angeles, CA · On-site

$160 - $180/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Benefits:** We offer a comprehensive benefits package that includes: medical, dental and vision ... Round 3: 60-min virtual Technical Interview - C# and Backend Coding* Round 4: 45-min virtual People ...

Welcome Health

Cardiologist, Outpatient

Bell, CA · On-site

$300 - $400/hr

  • Retirement

  • PTO

In-person clinic care with selective virtual care where appropriate* Collaborative care team ... Active California medical license, or ability to obtain one* Experience in outpatient general ...

Welcome Health

Cardiologist, Outpatient

Los Angeles, CA · On-site

$400K - $600K/yr

  • Retirement

  • PTO

In-person clinic care with selective virtual care where appropriate * Collaborative care team ... Active California medical license, or ability to obtain one * Experience in outpatient general ...

Scanhealthplan

Cardiologist, Outpatient

Los Angeles, CA · On-site

$400K - $600K/yr

  • Retirement

  • PTO

In-person clinic care with selective virtual care where appropriate * Collaborative care team ... Active California medical license, or ability to obtain one * Experience in outpatient general ...

JBA International

Legal Secretary/Assistant

Glendale, CA · On-site

$46K - $64K/yr

  • Medical

  • Dental

  • Vision

Familiar with E-filing and familiarity with statutes, codes, local rules, etc. * Will be working ... Interview process 1 interview but PREFERS in person but can accommodate a virtual interview if ...

JBA International

Legal Secretary/Assistant

Glendale, CA · On-site

$45K - $60K/yr

  • Medical

  • Dental

  • Vision

Familiar with e-filing and familiarity with statutes, codes, local rules, etc. Will be working ... No medical, dental or vision benefits. Free parking. Holidays off: Memorial Day, Labor Day, July ...

Urrly

Telehealth Nurse Practitioners

Los Angeles, CA · On-site +1

$600 - $720/day

... through virtual care. What You'll Do * Conduct Comprehensive Health Assessments via telehealth ... coding) during patient visits * Close HEDIS care gaps during visits * Review medical history ...

Cynet Systems

Material Handler I

Los Angeles, CA · On-site

$20 - $23/hr

... virtual/remote? : No * Shore Options Available for this Position : Onshore Only * Critical Position? : No * Kelly Job Code : LH25 * Operations Group : USC Medical Enterprise * Working Job Title

New

Eliassen Group

Lead Engineer

Los Angeles, CA · Remote

$50 - $60/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Leverage code assistants to navigate large codebases and implement improvements. * Write automated ... You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( noreply ...

Zefr, Inc

Senior Software Engineer

Marina Del Rey, CA · On-site

$180K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Use AI tools for coding and research as a daily part of the engineering workflow, and help the team ... Medical, dental, and vision insurance with FSA options * Company-paid life insurance * Paid ...

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Virtual Medical Coder information

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How much do virtual medical coder jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for virtual medical coder in Pasadena, CA is $24.46, according to ZipRecruiter salary data. Most workers in this role earn between $19.66 and $26.20 per hour, depending on experience, location, and employer.

What is a virtual medical coder?

A Virtual Medical Coder reviews patient medical records and assigns standardized codes for diagnoses, procedures, and treatments to ensure accurate billing and insurance processing. They work remotely for hospitals, clinics, or healthcare providers, using electronic health records (EHR) and coding software. This role requires knowledge of medical terminology, coding systems like ICD-10, CPT, and HCPCS, and adherence to healthcare regulations such as HIPAA. Virtual Medical Coders play a crucial role in healthcare revenue cycles, ensuring proper reimbursement and compliance with industry standards.

What skills and qualifications are needed to be a virtual medical coder?

To thrive as a Virtual Medical Coder, you need a thorough understanding of medical terminology, anatomy, ICD-10 and CPT coding systems, and typically a certification such as CPC or CCS. Familiarity with Electronic Health Record (EHR) systems and coding software is crucial, as well as ongoing knowledge of insurance and compliance regulations. Strong attention to detail, time management, and the ability to work independently while communicating effectively are essential soft skills. These competencies ensure accurate coding, regulatory compliance, and efficient workflows in a remote healthcare setting.

What are the typical work expectations and challenges for virtual medical coders working remotely?

Virtual Medical Coders usually work standard business hours, but may have flexible schedules depending on the employer. One of the main challenges is maintaining accuracy and productivity without on-site supervision, which requires self-discipline and strong organizational skills. Virtual Medical Coders must also navigate frequent updates to coding regulations and payer requirements, staying current with continuing education. Collaboration often occurs via email, conferencing tools, or secure messaging with healthcare providers, billing teams, and supervisors to resolve coding questions. Being proactive in communication and adaptable to evolving technology are key to success in this remote role.

How do I become a virtual medical coder?

To become a virtual medical coder, you typically need to complete a medical coding training program or obtain certification such as the Certified Professional Coder (CPC). Strong knowledge of medical terminology, coding systems like ICD-10 and CPT, and proficiency with coding software are essential, and many roles require a high school diploma or equivalent with some postsecondary education.

Is there a demand for remote virtual medical coders?

There is a strong and growing demand for remote virtual medical coders as healthcare providers seek to improve billing accuracy and efficiency. The role often requires certification, familiarity with coding systems like ICD-10 and CPT, and the ability to work independently in a remote environment. This demand is expected to continue due to the increasing adoption of telehealth and electronic health records.

What are the most commonly searched types of Medical Coder jobs in Pasadena, CA?

The most popular types of Medical Coder jobs in Pasadena, CA are:

What are popular job titles related to Virtual Medical Coder jobs in Pasadena, CA?

For Virtual Medical Coder jobs in Pasadena, CA, the most frequently searched job titles are:

What job categories do people searching Virtual Medical Coder jobs in Pasadena, CA look for?

The top searched job categories for Virtual Medical Coder jobs in Pasadena, CA are:

What cities near Pasadena, CA are hiring for Virtual Medical Coder jobs?

Cities near Pasadena, CA with the most Virtual Medical Coder job openings:

Virtual Medical Coder jobs near you
Infographic showing various Virtual Medical Coder job openings in Pasadena, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 1% Temporary, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $50,873 per year, or $24.5 per hour.

Senior Machine Learning Engineer

Career Renew

Los Angeles, CA • Remote

$165K - $225K/yr

Full-time

Re-posted 24 days ago

Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.
We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.
Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.

About the Role

We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows.
Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications
Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements
Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks
Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges
Explore image representation in latent space for efficient, high-fidelity virtual staining
Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap

Collaboration
Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements
Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures
Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems
Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines
Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches

Required Qualifications

PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field
Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising
Expert proficiency in Python and PyTorch and other scientific computing environments a plus
Strong mathematical foundation in linear algebra, probability, and optimization
Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure)
Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles
Experience with feature search, data balancing, and data curation pipelines.
Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines
Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment
Extensive use of AI tools for coding, optimization, and ideation

Preferred Qualifications

Experience with medical imaging, digital pathology, or whole slide image (WSI) processing
Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem
Background in generative models and fine-tuning of foundation models
Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton
Experience with hosting computer vision model inference on NVIDIA DGX Spark.
Understanding of FDA regulatory requirements for AI/ML in medical devices
Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices
Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility

What We Offer

The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.