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Ai Medical Coding Jobs in Santa Rosa, CA (NOW HIRING)

Cynch AI

Senior Tax Manager

Santa Rosa, CA · On-site

$150K/yr

By shifting routine work to AI, Cynch's proprietary platform gives our accounting and tax teams ... You don't need to write code; you need to articulate what's broken and what fixed looks like.

Wesley Medical Center

OT - SNF

Petaluma, CA · On-site

$2.4K/wk

First Day Medical, Dental, Vision and Rx benefits * Housing and Meal stipends * 401(k) Savings plan ... By applying to this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

Wesley Medical Center

PT - SNF

Petaluma, CA · On-site

$2.8K/wk

First Day Medical, Dental, Vision and Rx benefits * Housing and Meal stipends * 401(k) Savings plan ... By applying to this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

Apple

ML Agent Engineer

Bodega Bay, CA

$142K - $263K/yr

Our work spans the entire AI agent system stack, including model training, harness design ... You deliver clean, well-tested code. Hands-on experience with distributed ML systems - CI/CD at ...

CBRE

Building Engineer

Santa Rosa, CA · On-site

$44/hr

Comply with all applicable codes, regulations, governmental agency, and company directives related ... Medical, dental vision, paid time off, 401(k) match, paid holidays and more... * Internal ...

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Ai Medical Coding information

See Santa Rosa, CA salary details

$5

$32

$50

How much do ai medical coding jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for ai medical coding in Santa Rosa, CA is $32.79, according to ZipRecruiter salary data. Most workers in this role earn between $27.07 and $37.60 per hour, depending on experience, location, and employer.

What is AI medical coding?

AI Medical Coding refers to the use of artificial intelligence technologies to automate the process of converting healthcare diagnoses, procedures, and services into standardized medical codes. These codes are essential for billing, insurance claims, and maintaining accurate patient records. AI systems can analyze clinical documents and recommend or assign appropriate codes with greater speed and accuracy, helping to reduce human error and administrative workload. This technology supports healthcare providers by streamlining coding processes and ensuring compliance with regulatory standards.

What are the key skills and qualifications needed to thrive as an AI medical coder?

To thrive as an AI Medical Coder, you need expertise in medical coding standards (ICD-10, CPT), healthcare regulations, and a strong understanding of medical terminology, often supported by a certification such as CPC or CCS. Familiarity with AI-driven coding platforms, EHR systems, and data analytics tools is typically required. Attention to detail, analytical thinking, and effective communication are crucial soft skills for ensuring coding accuracy and collaborating with healthcare teams. These competencies are essential for maintaining compliance, optimizing reimbursement, and supporting efficient healthcare operations in an increasingly technology-driven environment.

How does an AI medical coding professional typically collaborate with healthcare providers and IT teams?

AI Medical Coding professionals often work closely with healthcare providers to ensure clinical documentation is accurately interpreted and coded. They also collaborate with IT teams to implement, validate, and optimize AI-driven coding tools, ensuring systems meet compliance standards and integrate smoothly with existing electronic health records (EHRs). Open communication with both groups is essential, as it helps address discrepancies, improve coding accuracy, and streamline workflows. This cross-functional collaboration is key to maintaining high-quality data and regulatory compliance in a fast-paced healthcare environment.

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

AspectAi Medical CodingMedical Coding
CertificationsTypically requires CPC or CCS certificationsRequires CPC, CCS, or equivalent certifications
Work EnvironmentOften performed in healthcare facilities or remotely with AI supportPrimarily in hospitals, clinics, or remote settings
Industry UsageUsed in healthcare billing, insurance, and AI-driven coding toolsUsed in medical billing, coding departments, and healthcare administration

Ai Medical Coding combines artificial intelligence with medical coding skills, often requiring similar certifications as traditional Medical Coding. While Medical Coders manually review and assign codes, Ai Medical Coding leverages AI tools to automate or assist this process. Both roles are essential in healthcare billing and insurance, but Ai Medical Coding emphasizes technology integration, making it suitable for those interested in AI applications within healthcare.

What job categories do people searching Ai Medical Coding jobs in Santa Rosa, CA look for?

The top searched job categories for Ai Medical Coding jobs in Santa Rosa, CA are:

What cities near Santa Rosa, CA are hiring for Ai Medical Coding jobs?

Cities near Santa Rosa, CA with the most Ai Medical Coding job openings:

Ai Medical Coding jobs near you

Data Scientist / AI Scientist - AI for Aging Research - Zhou lab

Buck Institute for Research on Aging

Novato, CA • On-site

$80K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago

Job description

Position Summary
The Buck Institute for Research on Aging is seeking a Data Scientist / AI Scientist to support a research program focused on the fundamental biology of aging through the development and application of advanced artificial intelligence approaches. This role will contribute to efforts that use imaging, quantitative analysis, foundation models, and modern AI to better understand the biological mechanisms of aging and identify new ways to measure, predict, and potentially intervene in those processes.
The successful candidate will join a highly collaborative, multidisciplinary team that brings together expertise in biology, biophysics, computer science, artificial intelligence, and other quantitative disciplines. This individual will help develop new computational methods, analyze complex imaging datasets, and work closely with experimental and computational researchers to generate insights from large-scale biological data.
This position is 100% on site.
About the Zhou Lab
Our team is intentionally multidisciplinary, bringing together researchers from biology, biophysics, computer science, AI, and other quantitative fields. We see this cross-disciplinary environment as a significant strength, creating opportunities for shared learning, creative problem-solving, and innovation that would be less likely to emerge within a single field alone.
Candidates from pure computational science backgrounds (with or without prior experience in bioinformatics) are encouraged to apply. Our lab has the experience of training CS background students to work on biological questions, as our dataset is either images or texts. Prior experience in biological or biomedical imaging is helpful but not required for candidates with strong technical expertise and a genuine interest in applying frontier AI methods to major biological questions.
Recent example of our work:
The Spatiotemporal Proteome Landscape of Aging: Structural determinants of Age-Sensitive Proteome Remodeling (bioRxiv, 2026).
Responsibilities
  • Develop and apply advanced AI and machine learning methods to research questions in aging biology.
  • Design, build, and optimize computational approaches for large-scale image and biological data analysis.
  • Build and apply models in areas such as computer vision, image recognition, segmentation, deep learning, generative AI, diffusion models, and multimodal or foundation-model approaches.
  • Analyze complex imaging datasets and extract biologically meaningful patterns and insights.
  • Collaborate closely with experimental and computational researchers to integrate AI methods with biological research.
  • Contribute to the design of new research directions at the intersection of AI, imaging, and aging biology.
  • Contribute to a collaborative and intellectually engaged research environment.
Required Qualifications
  • BS, MS, or PhD in computer science, data science, artificial intelligence, computational biology, bioengineering, applied mathematics, physics, or a related quantitative field
  • Strong experience in one or more of the following areas:
    • Computer vision
    • Image recognition and segmentation
    • Deep learning
    • Generative AI
    • Diffusion models
    • Multimodal or foundation-model approaches
  • Demonstrated experience developing computational methods and analyzing complex datasets
  • Strong quantitative, analytical, and programming skills
  • Ability to work independently and collaboratively in a multidisciplinary research setting
  • Strong verbal and written communication skills
Preferred Qualifications
  • Experience with biological, biomedical, or microscopy imaging data
  • Experience working in interdisciplinary research environments
  • Interest in applying cutting-edge AI approaches to fundamental questions in biology and aging.
  • Publication record, open-source contributions, relevant research, project, or code portfolio
Compensation & Benefits
  • $80,000 to $130,000 depending on skills and experience
  • Comprehensive benefits including medical/dental/vision coverage, paid time off, paid parental leave, 401(k) employer contribution, and a student debt repayment option.
About the Buck
The Buck Institute for Research on Aging is the first independent biomedical research institute in the United States devoted solely to research on aging. Located in Novato, California, the Buck brings together scientists across multiple disciplines to study the mechanisms of aging and age-related disease, to help people live better, longer.
The Buck Institute is an equal opportunity employer. We strongly encourage applications from candidates whose experiences and perspectives will contribute to the diversity and excellence of our community.
To Apply
Please submit:
  • a curriculum vitae or resume,
  • a brief statement of interest, and
  • any relevant publications, projects, or code.

Apply