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Flexible Data Coding Jobs in California (NOW HIRING)

Lead Data Scientist

San Francisco, CA ยท On-site

$200K - $225K/yr

Familiarity with healthcare data standards (claims, eligibility, EHR/clinical data, coding sets ... Flexible hybrid arrangement: ~3 days/week at San Francisco office (Financial District) * Unlimited ...

Coding Supervisor

Los Angeles, CA ยท On-site

$65K/yr

Los Angeles, CA, USA Onsite or Remote Flexible Hybrid Work Schedule Monday - Friday, 8:00am - 5 ... Ability to analyze coding data, trends, and performance metrics using tools such as Excel or ...

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... Use VPN access to ensure productive and flexible task completion * Uphold Datavant and HIM Division ...

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... Use VPN access to ensure productive and flexible task completion * Uphold Datavant and HIM Division ...

Data Engineer

Sunnyvale, CA ยท On-site

$134K - $161K/yr

Our no-code platform empowers every business team to harness the power of production-grade AI ... We offer generous compensation, equity, benefits, perks and flexible time off. This is an exciting ...

AI Data Engineer

Palo Alto, CA ยท On-site

$134K - $161K/yr

You're also an engineer who codes with AI as a first-class tool, not an add-on. You pair ... We offer a flexible work environment with a family friendly work-life balance. What a Great ...

AI Data Engineer

Palo Alto, CA ยท On-site

$134K - $161K/yr

You\'re also an engineer who codes with AI as a first-class tool, not an add-on. You pair ... We offer a flexible work environment with a family friendly work-life balance. What a Great ...

AI Data Engineer

Palo Alto, CA ยท On-site

$134K - $161K/yr

You're also an engineer who codes with AI as a first-class tool, not an add-on. You pair ... We offer a flexible work environment with a family friendly work-life balance. What a Great ...

Data Engineer 3

San Jose, CA ยท Hybrid

$65.49/hr

Consult in the refinement of existing models, adding new ideas to make the result more flexible and ... Document and demonstrate solutions by developing design documentation, code comments, presentations ...

We also provide free Shakeology, onsite gyms, flexible work hours, and cool product discounts. Are ... to code and test this data migration effort. * Work with engineers to analyze results of ...

Data Engineer III

Los Angeles, CA ยท Hybrid

$123K - $148K/yr

Write clean, maintainable, and well-documented API and code while adhering to industry best ... Flexible time off policies allowing you to take the time you need to be your whole self. * Generous ...

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Flexible Data Coding information

What are some common challenges faced in a flexible data coding role, and how can they be managed?

In a Flexible Data Coding role, professionals often encounter challenges such as handling large volumes of unstructured data, ensuring consistency in data labeling, and adapting quickly to changing project requirements. Effective communication with team members and clear documentation of coding protocols can help maintain accuracy and efficiency. Utilizing automated tools where appropriate and staying updated on coding standards also greatly assists in overcoming these challenges and delivering high-quality results.

What is flexible data coding?

Flexible data coding jobs involve categorizing, labeling, or organizing data according to specific guidelines, often for use in research, machine learning, or business analytics. These roles are typically remote or offer flexible hours, allowing workers to complete tasks on their own schedule. The work may include tagging images, transcribing audio, classifying text, or entering information into databases. Flexible data coding jobs are popular for those seeking part-time or remote work and often require attention to detail and basic computer skills.

What is the difference between Flexible Data Coding vs Data Analyst?

AspectFlexible Data CodingData Analyst
Required CredentialsBasic coding skills, possibly certifications in data managementDegree in statistics, data science, or related field; often certifications in analytics tools
Work EnvironmentData entry, coding, and database management in various industriesData analysis, reporting, and visualization in corporate or research settings
Employer & Industry UsageUsed across industries for data organization and coding tasksCommonly employed in finance, marketing, healthcare, and tech sectors

Flexible Data Coding focuses on coding and organizing data efficiently, often with basic programming skills. Data Analysts interpret and analyze data to inform business decisions, requiring more advanced analytical skills. While both roles work with data, their core functions and skill requirements differ significantly.

What are the key skills and qualifications needed to thrive as a flexible data coder, and why are they important?

To excel as a Flexible Data Coder, you need strong analytical skills, attention to detail, and a solid understanding of data management or coding systems, often supported by a degree in computer science, information systems, or a related field. Familiarity with coding languages (such as SQL, Python, or R), data entry platforms, and data quality assurance tools is typically required. Strong problem-solving abilities, adaptability, and effective communication help professionals address data discrepancies and collaborate with diverse teams. These skills and qualities ensure accurate data processing, maintain data integrity, and support efficient decision-making within organizations.
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 cities in California are hiring for Flexible Data Coding jobs? Cities in California with the most Flexible Data Coding job openings:

Lead Data Scientist

Onos

San Francisco, CA โ€ข On-site

$200K - $225K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 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.