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Work From Home Hcc Risk Adjustment Coding Jobs in California

Head of Data

Los Angeles, CA ยท On-site +1

Own the analytics behind risk adjustment and clinical quality: HCC/RAF capture, care gap closure ... BigQuery), infrastructure-as-code (e.g. Terraform), cloud storage (e.g. GCS), and BI (e.g. Metabase)

$69K/yr

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

Showing results 41-60

Work From Home Hcc Risk Adjustment Coding information

See California salary details

$15

$27

$42

How much do work from home hcc risk adjustment coding jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for work from home hcc risk adjustment coding in California is $27.13, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $34.18 per hour, depending on experience, location, and employer.

What is work from home HCC risk adjustment coding?

Work from home HCC (Hierarchical Condition Category) risk adjustment coding involves reviewing medical records and assigning appropriate diagnosis codes to reflect the health status of patients for insurance and Medicare purposes. Coders ensure that all relevant conditions are accurately documented to support proper reimbursement and compliance with regulations. Working remotely allows coders to complete these tasks from home, often using secure online systems provided by their employer. This role requires a solid understanding of medical terminology, coding systems like ICD-10-CM, and risk adjustment models.

What are the key skills and qualifications needed to thrive as a work from home HCC risk adjustment coder?

To thrive as a Work From Home HCC Risk Adjustment Coder, you need a strong understanding of ICD-10-CM coding, knowledge of Hierarchical Condition Categories (HCC), and typically a certification such as CPC or CRC. Familiarity with electronic medical record (EMR) systems and coding software is essential for accurate and efficient code assignment. Attention to detail, self-motivation, and strong communication skills help ensure compliance and productivity in a remote environment. These skills are crucial to ensure accurate risk adjustment coding, which impacts healthcare reimbursement and quality reporting.

What are some common challenges faced by work from home HCC risk adjustment coders, and how can they be managed?

Work From Home HCC Risk Adjustment Coders often face challenges such as maintaining consistent productivity, managing complex medical records, and staying current with evolving coding guidelines. Without in-person supervision, it can be difficult to stay focused and avoid distractions, so setting up a dedicated workspace and sticking to a structured schedule is essential. Additionally, regular communication with team members and participating in ongoing training can help coders stay updated and collaborate effectively. Leveraging secure technology for remote access and adhering strictly to HIPAA regulations is also crucial to ensure data privacy and compliance.

What is the difference between Work From Home Hcc Risk Adjustment Coding vs Work From Home Medical Coding Specialist?

AspectWork From Home Hcc Risk Adjustment CodingWork From Home Medical Coding Specialist
CertificationsAHIMA or AAPC HCC certifications, coding credentialsCPH, CPC, or equivalent medical coding certifications
Work EnvironmentRemote, healthcare insurance industryRemote, healthcare or hospital settings
Industry UsageHealth insurance, risk adjustment programsHospitals, clinics, insurance companies
Job FocusRisk adjustment, HCC coding for Medicare/MedicaidGeneral medical coding, billing, and documentation

Work From Home Hcc Risk Adjustment Coding specialists focus on coding for risk adjustment models, primarily in insurance and Medicare programs, requiring specific HCC certifications. In contrast, Work From Home Medical Coding Specialists handle broader medical coding tasks across various healthcare settings. Both roles are remote and require coding credentials, but their industry focus and job responsibilities differ.

What are popular job titles related to Work From Home Hcc Risk Adjustment Coding jobs in California?

For Work From Home Hcc Risk Adjustment Coding jobs in California, the most frequently searched job titles are:

What job categories do people searching Work From Home Hcc Risk Adjustment Coding jobs in California look for?

The top searched job categories for Work From Home Hcc Risk Adjustment Coding jobs in California are:

What cities in California are hiring for Work From Home Hcc Risk Adjustment Coding jobs?

Cities in California with the most Work From Home Hcc Risk Adjustment Coding job openings:

Head of Data

Seen Health

Los Angeles, CA โ€ข On-site, Remote

Full-time

Re-posted 26 days ago


Job description

About Seen Health
At Seen Health, we are revolutionizing the way senior care is delivered through the PACE (Programs of All-Inclusive Care for the Elderly) model. Backed by top VCs, Seen Health is a culturally-focused, technology-enabled healthcare organization that integrates comprehensive medical care and social support with a high-touch, interdisciplinary approach.
Our mission is to empower seniors to age-in-place with dignity and provide their families peace of mind. We are building upon a proven Home and community based services model to create a culturally-competent and scalable PACE program. We are also building a comprehensive operating system focused on data and workflows that span across systems, processes, people, and care contexts. We want to empower our clinicians and staff with tools that deliver relevant data at the time and site of care and enable them to deliver exceptional care to our participants, which improve clinical outcomes, participant & provider satisfaction, and ultimately our strength as an organization.
We are a mission-driven, multidisciplinary team with deep healthcare, technology, and operations expertise, each inspired by our own personal stories of caring for seniors in our lives. Our name, Seen Health, was chosen to reflect our commitment to provide the highest standard of care to underserved older adults while respecting and incorporating their individual beliefs, heritage, and values, so that they can truly be seen.
Why this role
We are the payer, provider, and tech team, so we sit on something almost no healthcare company has: clinical, claims, financial, and operational data across the entire system, in one place, from day one. You will own that entire data stack as a founding member of the team. You are responsible for building and evolving the data engine at the core of our operations. You get to build the data platform, the intelligence layers on top, and the culture of data-driven decision making in one of the most complex and effective models of healthcare.
What you'll own
  • AI-native data engineering: architect the whole data stack - ingestion, orchestration, warehouse, transformation, and analytics - and direct a fleet of AI agents to build and maintain it. You set the architecture, engineering practices, and quality bar; agents do almost 100% of coding
  • Own the pipelines that reliably move clinical (FHIR/EHR), claims (EDI 837/834/820), pharmacy, financial, operational, and internal data through Dagster, dbt, and BigQuery
  • Build new pathways for data in and out, structured and unstructured: state and payer feeds, vendor SFTP drops, partner APIs, regulatory exports, CMS audit deliverables, plus call recordings, visit notes, faxes, and scanned records that live outside any system of record today
  • Build and evolve a metadata layer that guides humans and agents: a catalog of what data exists and what it means, and a semantic layer on top so every dashboard, analyst, and agent is querying the same definition of "member," "risk score," and "cost of care"
  • Turn data into decisions: ship the metrics, dashboards, and insights that clinicians, operators, finance, and regulators rely on; measure success in decisions made faster and outcomes improved
  • Own the analytics behind risk adjustment and clinical quality: HCC/RAF capture, care gap closure, quality measure reporting, and the burden-of-illness view that connects clinical documentation to financial performance
  • Build the intelligence layer for the company: capture what happens on every call, visit, and meeting through agents and recordings, and turn it into structured signal instead of knowledge that lives in someone's head - then use it to give leadership proactive, org-level visibility into what's breaking before anyone has to ask
  • Lead the data team: hire and manage a mix of internal and external resources, set data roadmap, quality standards, and PHI/security posture
Must-haves
  • Exceptional talent and trajectory: we optimize for slope, not years
  • Deep fluency in SQL and Python, plus the modern data stack: dbt, an orchestrator (e.g. Dagster), a cloud warehouse (e.g. BigQuery), infrastructure-as-code (e.g. Terraform), cloud storage (e.g. GCS), and BI (e.g. Metabase)
  • End-to-end ownership of a 0 โ†’ 1 data system: you've architected it, shipped it, and answered for it when it broke
  • AI-native way of working: agents (Claude Code, Codex, or similar) are already your primary way of building, and you know how to direct, review, and verify their work
  • Bias for action, pragmatism, and comfort with ambiguity and evolving objectives, including direct iteration with non-technical users
  • Energized by standing shoulder-to-shoulder with clinicians serving vulnerable elders
Nice-to-haves
  • Healthcare data experience: FHIR/HL7, EDI claims and enrollment files, risk adjustment (HCC/RAF), eligibility, pdf ingestion
  • Event-driven and streaming ingestion patterns, CDC
  • Security-by-design mindset and HIPAA/PHI compliance experience
  • Mandarin, Cantonese proficiency
How we work
Small senior crew โ€ข Ship daily โ€ข Automate everything โ€ข "Build > complain" โ€ข Remote with at least quarterly visits to our center.
Location
  • San Francisco or Los Angeles ideal.
  • Relocation benefits available.
Salary & Benefits
  • Salary is competitive and includes benefits.
  • Participation in company equity/stock included.