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Medical Coding Artificial Intelligence Jobs in California

Artificial Intelligence Engineer

Milpitas, CA ยท On-site

$140K - $238K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program ...

Artificial Intelligence Engineer

Milpitas, CA ยท On-site

$140K - $238K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program ...

Artificial Intelligence Engineer

Milpitas, CA ยท On-site

$140K - $238K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program ...

Artificial Intelligence Engineer

Milpitas, CA

$140K - $238K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program ...

Showing results 21-40

Medical Coding Artificial Intelligence information

What is the difference between Medical Coding Artificial Intelligence vs Medical Coding Specialist?

AspectMedical Coding Artificial IntelligenceMedical Coding Specialist
CredentialsNone required, relies on algorithmsCertification (e.g., CPC, CCS)
Work EnvironmentAutomated systems, software platformsHospitals, clinics, healthcare offices
Industry UsageAssists or automates coding tasksPerforms manual coding and audits
Search/Comparison IntentUnderstanding AI role in codingManual coding skills and certification

Medical Coding Artificial Intelligence primarily automates coding processes using algorithms, reducing manual effort. Medical Coding Specialists manually review and assign codes, often requiring certifications. AI enhances efficiency, while specialists ensure accuracy and compliance. Both play vital roles in healthcare documentation and billing.

What are the key skills and qualifications needed to thrive in Medical Coding Artificial Intelligence, and why are they important?

To excel in Medical Coding Artificial Intelligence, you need a strong background in medical coding, familiarity with healthcare terminology, and expertise in AI or machine learning, often supported by degrees in health informatics, computer science, or related certifications. Experience with coding systems like ICD-10, CPT, and proficiency in AI tools, programming languages (such as Python), and natural language processing platforms are typically required. Strong analytical thinking, attention to detail, and effective collaboration skills help professionals bridge the gap between clinical data and technical solutions. These competencies are crucial for developing, optimizing, and deploying AI systems that improve the accuracy and efficiency of medical coding in healthcare organizations.

What is Medical Coding Artificial Intelligence?

Medical Coding Artificial Intelligence refers to the use of AI technologies to automate and improve the medical coding process in healthcare. AI systems can analyze clinical documentation, extract relevant information, and assign appropriate codes for diagnoses and procedures. This technology helps healthcare providers increase accuracy, reduce manual errors, streamline billing, and ensure compliance with regulations. By leveraging AI, organizations can save time and resources while enhancing the quality of patient data management.

How do professionals in Medical Coding Artificial Intelligence typically collaborate with healthcare providers and IT teams?

Professionals working in Medical Coding Artificial Intelligence frequently interact with both healthcare providers and IT teams to develop and refine AI models that accurately interpret medical documentation. This collaboration involves understanding clinical workflows, ensuring data privacy compliance, and translating medical terminology into machine-readable formats. Regular meetings and cross-functional teamwork help align the AI solutions with real-world clinical needs and regulatory standards, making strong communication skills essential for success in this role.

What are popular job titles related to Medical Coding Artificial Intelligence jobs in California?

For Medical Coding Artificial Intelligence jobs in California, the most frequently searched job titles are:

What job categories do people searching Medical Coding Artificial Intelligence jobs in California look for?

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

What cities in California are hiring for Medical Coding Artificial Intelligence jobs?

Cities in California with the most Medical Coding Artificial Intelligence job openings:

Infographic showing various Medical Coding Artificial Intelligence job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Senior Director, Artificial Intelligence

Cellanome

Foster City, CA โ€ข On-site

$288K - $330K/yr

Full-time

Medical, Life, Retirement

Posted 23 days ago


Job description

We're a well-funded start-up. You'll get a chance to wear many hats, be a part of a growing team, and have the potential for exciting financial and career growth.
Here's what sets us apart. We've set our sights on some of the biggest challenges facing biology today. We're amassing a world class team of engineers, scientists, team builders and problem solvers to tackle these challenges heads-on. We're passionate about developing the next generation technologies that will unravel the complexities of biology.
This is a unique opportunity to build, be part of an exciting start-up and be surrounded by good humans who are super capable, humble and down-to- earth.
The Senior Director, Artificial Intelligence will lead our Artificial Intelligence (AI) and Machine Learning (ML) efforts. AI and ML are integral to multiple aspects of the operation of our platform and represent a key strategic area for Cellanome. This position will grow our existing efforts in these areas and identify future opportunities to leverage AI and ML to further our goals. This is a leadership position with the Computational Biology team and will collaborate closely with R&D, Software Engineering and Product Development through both Research and Product Development programs. This role will provide leadership and vision, while working hands-on in the implementation.
Essential Duties include but are not limited to the following:
  • Design, develop, train and productize cutting-edge Deep Learning models, particularly in the area of image processing for tasks such as image segmentation, classification, unsupervised and semi-supervised feature extraction.
  • Research and develop models for integrating paired imaging and transcriptomic data from the same cells.
  • Design and develop infrastructure for tracking model learning and performance.
  • Develop and implement a multi-year strategy for application of ML and AI-based methodologies to core aspects of the operation of our technology, and interpretation of the resulting data.
  • Identify new opportunities to deploy ML and AI-based methodologies based on conversations with internal and external stakeholders.
  • Source, hire and mentor junior team members, fostering an environment of healthy teamwork and continuous learning.
  • Work collaboratively with other software teams to integrate ML and AI-based methodologies into our broader software ecosystem.
  • Keep up with the rapidly changing AI and ML landscape to identify new opportunities.
  • Ability to work in front of a computer screen and/or perform typing for approximately 90% of a typical working day.
  • Ability to travel up to 5% of working time away from work location, may include overnight/weekend travel at times.

Minimum Qualifications:
  • PhD in Engineering, computer science, computational biology or related fields with 15 years experience; or a Master's degree with 18 years experience; or a Bachelor's degree with 20 years experience; or equivalent experience.
  • A minimum of 10 years of leadership experience, including hiring and mentoring junior team members.
  • Comprehensive knowledge of Deep Learning-based methodologies for image analysis is a must. The successful candidate will have extensive familiarity with object detection, instance segmentation and feature extraction models and will have demonstrated experience training and tweaking them.
  • Excellent programming skills and intimate familiarity with commonly used Deep Learning frameworks such as PyTorch, TensorFlow etc.
  • Excellent problem-solving abilities, critical thinking, and communication skills.
  • Demonstrated ability to perform the Essential Duties of the position with or without reasonable accommodations.

Preferred Qualifications:
  • PhD strongly preferred.
  • Experience working with biological imaging data (e.g. live cell microscopy, histopathology).
  • Experience working with foundation models for single-cell transcriptomics.

The estimated base salary range for this position is $288,000- $330,000/year. Within the range, individual pay is determined by work location and additional factors including job related skills, experience, and relevant education or training.
What you can expect from us:
You'll feel the energy when you walk in our door - we work hard, we have fun and we have ambitious plans to grow. Cellanome offers a comprehensive employment package that includes a competitive salary, generous stock options, great individual, and family health plans, a 401(k) and flexibility to balance work and life.
We embrace and celebrate the diversity of our employees. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.