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Data Coding Jobs in California (NOW HIRING)

Onos

Lead Data Scientist

San Francisco, CA · On-site

$200K - $225K/yr

Familiarity with healthcare data standards (claims, eligibility, EHR/clinical data, coding sets like ICD, CPT, HCPCS) * Experience building production-grade models and deploying them in analytical or ...

RD Partners

Scientist I

South San Francisco, CA · On-site

$35.97 - $47.92/hr

Conduct PK data analysis and maintain/update departmental databases. · Coding & Reporting: Utilize coding techniques to streamline data entry, perform statistical analysis, and generate study ...

UCLA Health

Coding Supervisor

Los Angeles, CA · Remote

$65K - $130K/yr

Ability to analyze coding data, trends, and performance metrics using tools such as Excel or reporting systems * Strong interpersonal skills to collaborate with clinical, operational, and ...

Aquent

Coding Specialist

Sacramento, CA · On-site +1

$38.29 - $41.07/hr

Abstract required data elements per facility specifications and maintain compliance with federal, state, and third-party regulations, as well as professional coding guidelines and ethics.

UCLA Health

Coding Supervisor

Los Angeles, CA · On-site

$65K/yr

Ability to analyze coding data, trends, and performance metrics using tools such as Excel or reporting systems * Strong interpersonal skills to collaborate with clinical, operational, and ...

Cedars Sinai

Coding Audit Supervisor

Los Angeles, CA · Remote

... data collection, data management and reporting requirements as well as integration of data ... Certified Coder Specialist (CCS), Certified Procedural Coder (CPC), Registered Health Information ...

Cedars Sinai

Coding Audit Supervisor

Los Angeles, CA · On-site

$102K - $163K/yr

Working with Manager, develops goals and objectives related compliance, data quality, productivity ... Certified Coder Specialist (CCS), Certified Procedural Coder (CPC), Registered Health Information ...

Cast and Crew LLC

Coding & Reporting Specialist

Burbank, CA · On-site +1

$20 - $25/hr

In addition, this role works with the client to update previously entered coding data to ensure data matches within our payroll and PSL software and is responsible for the setup and maintenance of ...

New

Cast and Crew LLC

Coding & Reporting Specialist

Burbank, CA · On-site +1

$20 - $25/hr

In addition, this role works with the client to update previously entered coding data to ensure data matches within our payroll and PSL software and is responsible for the setup and maintenance of ...

New

Humana

Senior Coding Educator

Los Angeles, CA

$29.25 - $33.50/hr

Analyze data and reporting and provides educational sessions with providers aimed at quality of care, documentation and coding improvements. * Collaboration with relationship owners and HQRI

Humana

Senior Coding Educator

Los Angeles, CA · On-site

$29.25 - $33.50/hr

Analyze data and reporting and provides educational sessions with providers aimed at quality of care, documentation and coding improvements. * Collaboration with relationship owners and HQRI

Humana

Senior Coding Educator

Los Angeles, CA · On-site

$29.25 - $33.50/hr

Analyze data and reporting and provides educational sessions with providers aimed at quality of care, documentation and coding improvements. * Collaboration with relationship owners and HQRI

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Data Coding information

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How much do data coding jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for data coding in California is $28.97, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $35.31 per hour, depending on experience, location, and employer.

How much do data coders make?

Data coders typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of coding tasks. Entry-level positions may pay closer to the lower end, while experienced coders with specialized skills can earn higher wages, especially if working in healthcare or research environments.

What hot tech job pays $775 000?

Data coding roles typically do not pay $775,000 annually; such high salaries are more common in executive or specialized tech positions like chief data officers or senior AI researchers. Most data coding jobs offer competitive salaries, but reaching that level usually requires extensive experience, advanced skills, and leadership responsibilities.

What are the key skills and qualifications needed to thrive in the Data Coding position, and why are they important?

To thrive in Data Coding, you need strong attention to detail, data analysis abilities, and a solid understanding of coding systems or data classification procedures, often supported by experience in data management or health information fields. Familiarity with software tools such as Microsoft Excel, databases, and specialized coding platforms, as well as relevant certifications like Certified Professional Coder (CPC), is common. Strong organizational skills, the ability to work independently, and clear communication are valuable soft skills in this role. These skills are essential to ensure data accuracy, maintain consistency, and support effective data processing for organizational decision-making.

What is a Data Coding job?

A Data Coding job involves organizing, labeling, and categorizing data to prepare it for analysis. This can include coding survey responses, tagging content, or structuring raw data for machine learning models. Professionals in this role often work with large datasets, ensuring accuracy and consistency. Data Coding is essential for transforming unstructured information into a structured format that can be easily analyzed.

What jobs pay $500,000 a year in the US?

In the field of data coding, high-paying roles reaching $500,000 annually are rare and typically involve senior positions such as data science directors, chief data officers, or specialized consultants with extensive experience and advanced skills. These roles often require advanced degrees, certifications, and leadership responsibilities within large organizations or consulting firms.

What does a data coder do?

A data coder is responsible for reviewing, categorizing, and entering data into databases or spreadsheets, often using coding schemes or classification systems. They ensure data accuracy and consistency, which is essential for research, analysis, or quality control projects. Proficiency in data management tools and attention to detail are important skills for this role.

What are the typical daily responsibilities of a Data Coding professional?

Data Coding professionals are responsible for reviewing, classifying, and entering data into databases according to established coding guidelines. On a typical day, you may work closely with raw datasets, accurately apply standardized codes, and validate entries to ensure data integrity. Collaboration with other data specialists or team members is often required to resolve discrepancies and support large-scale projects. Attention to deadlines and consistent quality checks are key aspects of the role. This position offers valuable hands-on experience with data systems, which can be a great stepping stone to advanced roles in data analysis or data management.

What are the most commonly searched types of Data Coding jobs in California? The most popular types of Data Coding jobs in California are:
What are popular job titles related to Data Coding jobs in California? For Data Coding jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Coding jobs in California look for? The top searched job categories for Data Coding jobs in California are:
What cities in California are hiring for Data Coding jobs? Cities in California with the most Data Coding job openings:
Data Coding jobs near you
Infographic showing various Data Coding job openings in California as of July 2026, with employment types broken down into 81% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $60,254 per year, or $29 per hour.

Lead Data Scientist

Onos

San Francisco, CA • On-site

$200K - $225K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

About Onos Health
Onos Health's mission is simple but ambitious: ensure every healthcare dollar goes toward delivering the highest quality care. Today, 30% of total U.S. healthcare spending is wasted due to ineffective care and administrative burden caused by misalignment between providers and payers.
Onos is addressing this by building the largest AI-driven healthcare data platform. Our model enables payers to make faster, more accurate decisions across their populations. By guiding members to the right care, Onos is channeling more dollars to high-quality care that drives outcomes while making healthcare more affordable.
Come join a category-defining company and transform how healthcare is managed in the U.S.
Why Onos?
  • Meaningful impact: Help fix what is fundamentally broken in healthcare
  • Direct collaboration: Work alongside experienced founders with deep healthcare and data expertise
  • Culture: Join a high-performing, transparent, and results-oriented team
  • Ownership: Significant responsibility and autonomy from day one
  • Opportunity: Play a pivotal role in building a fast-growing, category-defining healthcare AI company

The Role
We're looking for a Lead Data Scientist who thrives in a fast-moving startup, loves solving complex problems in messy healthcare data, and wants to directly shape how payers manage care. This is a highly strategic and hands-on role at the intersection of data science, product, and clinical operations.
As Onos' lead data scientist, you'll own the development of our core analytics and AI models, from designing predictive frameworks to measuring clinical appropriateness and cost savings. You'll partner closely with product, engineering, and client teams to translate data into measurable impact for health plans, driving smarter utilization, improved outcomes, and reduced waste across Behavioral Health.
What you'll be doing at Onos:
  • Model Development: Design and deploy predictive, risk-scoring, and optimization models that identify waste, inappropriate utilization, and care improvement opportunities across behavioral health services.
  • AI/ML Infrastructure: Help define and evolve our data science stack, from feature stores and pipelines to model monitoring and evaluation frameworks.
  • Data Exploration & Analysis: Dive deep into claims and clinical data to uncover trends, outliers, and actionable insights.
  • Client & Product Impact: Partner with client teams to translate complex models into clear insights that demonstrate ROI, inform payer workflows, and maintain clear, impactful dashboards.
  • Cross-Functional Leadership: Collaborate with the CEO, CPO, and engineering team to guide product direction, data strategy, and key client engagements.
What we're looking for:
  • 8+ years of experience in data science or advanced analytics (preferably in healthcare or health plans; experience with claims and clinical data strongly preferred).
  • Deep expertise in statistical modeling, causal inference, and ML (Python, SQL, and related libraries such as scikit-learn, statsmodels, PyTorch, or similar).
  • Familiarity with healthcare data standards (claims, eligibility, EHR/clinical data, coding sets like ICD, CPT, HCPCS)
  • Experience building production-grade models and deploying them in analytical or product environments.
  • Proven experience building, mentoring, and leading high-performing data science or analytics teams.
  • Scrappy with an entrepreneurial mindset: resourceful, proactive, thrives in ambiguity, and moves fast
  • Excellent communication skills an ability to translate complex data into clear business insights
  • Exceptional references from colleagues and former managers
Benefits and Perks
  • Flexible hybrid arrangement: ~3 days/week at San Francisco office (Financial District)
  • Unlimited vacation policy
  • Paid parental leave
  • Medical, dental, and vision insurance
  • Pre-tax commuter benefits
  • 401(k)
  • Significant equity as an early employee
  • Direct mentorship from experienced founders
  • Ground-floor opportunity to help build a team and culture
  • Regular team events and off-sites
  • Company-provided equipment and home office setup

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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