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Ai Medical Coding Jobs in California (NOW HIRING)

Staff Data Scientist

San Francisco, CA · On-site

$220K - $280K/yr

... color-coded, 3D model of a patient's coronary arteries indicating the impact blockages have on ... AI & Medical Imaging: Expertise in deep learning and machine learning models in production. Strong ...

Ode with Anthropic How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data ...

AI Operations Lead

San Francisco, CA · On-site

$150K - $190K/yr

Comfort with light coding or low-code/agent tooling. * Strong written and verbal communication ... Comprehensive Medical, Vision, and Dental care * Flexible PTO Policy * Lunch and Dinner Service

Medical Coding & Billing / Rev Cycle: Experience preferred in roles like Medical Coders, Coding ... Prior AI Experience: Experience in remote data annotation or AI model evaluation a plus. Schedule ...

... medical writers, customer teams). • Operate effectively in a fast-paced, ambiguity-heavy ... user, specifically AI code editors • Developing advanced prompt engineering strategies ...

AI Infrastructure Engineer

Los Altos, CA · On-site

$127K - $167K/yr

You will write production code, design systems, automate repetitive work, and own outcomes across ... Medical, dental, vision, retirement, leave, and disability benefits as applicable. * Family Leave

You will write production code, design systems, automate repetitive work, and own outcomes across ... Medical, dental, vision, retirement, leave, and disability benefits as applicable. * Family Leave

AI Infrastructure Engineer

Los Altos, CA · On-site

$127K - $167K/yr

You will write production code, design systems, automate repetitive work, and own outcomes across ... Medical, dental, vision, retirement, leave, and disability benefits as applicable. * Family Leave

We're building "AI employees" to automate repetitive, time-consuming tasks while keeping humans in ... By automating processes like prior authorizations and medical coding, we enable providers to ...

We're building "AI employees" to automate repetitive, time-consuming tasks while keeping humans in ... By automating processes like prior authorizations and medical coding, we enable providers to ...

... Medical Coding suite. This product suite improves the quality of physician documentation, helps ... Together, you'll work on truly AI-native products that deliver hundreds of millions of dollars in ...

Showing results 41-60

Ai Medical Coding information

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 California look for?

The top searched job categories for Ai Medical Coding jobs in California are:

What cities in California are hiring for Ai Medical Coding jobs?

Cities in California with the most Ai Medical Coding job openings:

Infographic showing various Ai Medical Coding job openings in California as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, and 6% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Staff Data Scientist

Heartflow

San Francisco, CA • On-site

$220K - $280K/yr

Full-time

Re-posted 22 days ago


HeartFlow rating

7.8

Company rating: 7.8 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

138th of 245 rated software companies


Job description

Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product-an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCT Analysis-provides a color-coded, 3D model of a patient's coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMap™Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.
Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide.
We are seeking a high-impact Staff Data Scientist to play a leading role on our data needs to bridge the gap between advanced research and production-grade ML systems. You will be a key technical leader and partner to our Research Scientists, driving the evolution of our AI algorithms through rigorous data science methodologies, strategic data curation, and cross-functional leadership.
Job Responsibilities:
  • Vision & Cross-Functional Leadership: Engage with cross-functional teams (Product, Research, Engineering, and Process Engineering) and help guide the overarching vision for data analysis, curation, and annotation to improve our AI models. Drive the definition of algorithm and data requirements necessary to deliver on end-point objectives.
  • Data Campaigns and Annotation Strategy: Introduce best practices and efficient processes to enable multiple, large-scale annotation campaigns for continuous AI product improvements. Spearhead the strategic design of data campaigns needed to advance AI algorithms.
  • Advanced Data Curation & Management: Develop comprehensive data curation strategies for improvements to AI models. Partner with MLOps to architect data management systems for algorithm training and performance validation, and establish data dashboards and monitoring reports.
  • Performance Evaluation and Statistical Analysis: Establish frameworks and develop tools to rigorously evaluate the strengths and weaknesses of model iterations across patient populations. Design and oversee data analyses using statistical techniques to illuminate the performance of our AI algorithms.

Required Qualifications:
  • Education: Masters or PhD Degree in Engineering, Computer Science, Statistics, Data Science or related degree.
  • Work Experience: 7+ years (or 5+ with PhD) of proven track record in Data Science, Machine Learning, Computer Vision, or Image Analysis in industry. Have a wealth of experience from working on complex, real-world AI problems in medical imaging or computer vision requiring careful consideration of data needs.
  • Software: Proficient in Python, including statistical and machine learning packages (e.g. scipy, sklearn, statsmodels, seaborn) with a commitment to writing clean, reproducible and scalable code. Familiarity with image and 3D processing tools like VTK and ITK, and visualization tools like 3DSlicer and MITK, a plus.
  • Statistics: Understanding of standard statistical techniques and ability to apply appropriate statistical methods to a range of data structures; experience with medical imaging data a plus.
  • Data Management: Experience working with data lakes, SQL/No SQL Databases, AWS Cloud Storage, Tableau dashboards.
  • AI & Medical Imaging: Expertise in deep learning and machine learning models in production. Strong experience working with medical imaging data (CT and vascular imaging) is highly preferred.
  • (Preferred) Proficiency in Agentic AI Tools: Experience integrating generative AI and agentic tools into daily workflows to act as a force multiplier-accelerating coding, prototyping, and complex data analysis-while demonstrating the critical judgment required to rigorously evaluate AI outputs for accuracy.
  • Communication: Excellent written and verbal communication. Detail orientated but able to describe complex topics in a manner that is digestible to a broad audience. Ability to distill complex analyses into interpretable and actionable findings.
  • Commitment: Committed to the success of the team and successful completion of project - 75% confidence / 100% committed.
  • Influence without Authority: Able to build trust and obtain cross-functional alignment across departments.

A reasonable estimate of the base salary compensation range is $220,000 to$280,000, bonus, and equity. #LI-IB1 #LI-Hybrid
Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination.
Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals.
Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with "@heartflow.com" and B) the position described is found on our careers site at www.heartflow.com/about/careers/.

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