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Healthcare Data Science Jobs in California (NOW HIRING)

Onos

Lead Data Scientist

San Francisco, CA · On-site

$200K - $225K/yr

What We're Looking For * 8+ years of experience in healthcare analytics, data science, biostatistics, or a related quantitative field. * Deep experience working with healthcare claims, clinical ...

Knit Health

Senior Data Scientist

San Francisco, CA

$140K - $175K/yr

... healthcare organizations can use. As a senior member of a small data science team, this person will also help establish strong scientific and analytical practices while supporting the growth of ...

AArete

Healthcare Data Developer

El Segundo, CA · On-site

$90K - $120K/yr

Description Healthcare Data Developer AArete is one-of-a-kind when it comes to consulting firm culture We're a global, innovative management and technology consulting firm with offices in the U.S ...

Knit Health

Senior Data Scientist

San Francisco, CA · On-site

... healthcare organizations can use. As a senior member of a small data science team, this person will also help establish strong scientific and analytical practices while supporting the growth of ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

$110 - $170/hr

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data ...

Cogitativo

Senior Data Scientist

Berkeley, CA · On-site

Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering * Working knowledge of health care systems and healthcare terminology * Expert in analyzing large complex, multi ...

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Showing results 21-40

All JobsHealthcare Data Science JobsHealthcare Data Science Jobs in California

Healthcare Data Science information

See California salary details

$45.4K

$162.9K

$240.3K

How much do healthcare data science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for healthcare data science in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What is healthcare data science?

Healthcare data science is a field that uses data analysis, statistics, and machine learning to extract insights from health-related data. Professionals in this area work with large datasets from sources like electronic health records, clinical trials, and wearable devices. Their goal is to improve patient outcomes, optimize hospital operations, and support medical research by turning raw data into actionable information. This field requires knowledge of healthcare systems, data management, and advanced analytics techniques.

What are the key skills and qualifications needed to thrive as a healthcare data scientist?

To thrive as a Healthcare Data Scientist, you need a strong background in statistics, data analysis, programming (Python or R), and an understanding of healthcare systems, often supported by a degree in data science, computer science, or a related field. Experience with tools like SQL, machine learning frameworks, and familiarity with electronic health record (EHR) systems are typically required. Strong problem-solving skills, attention to detail, and effective communication help translate complex data insights into actionable healthcare solutions. These skills are crucial for deriving meaningful insights from complex healthcare data, improving patient outcomes, and supporting evidence-based decision-making.

What are some common challenges faced by healthcare data scientists when working with clinical data?

Healthcare data scientists often navigate challenges such as dealing with incomplete or inconsistent medical records, ensuring patient privacy and data security, and integrating data from diverse sources like electronic health records, lab results, and imaging systems. Additionally, they must collaborate closely with clinicians and IT staff to interpret complex datasets accurately and ensure that their analyses have practical clinical value. Maintaining compliance with healthcare regulations, such as HIPAA, is also a critical aspect of the role.

What is the difference between Healthcare Data Science vs Healthcare Data Analysis?

AspectHealthcare Data ScienceHealthcare Data Analysis
Required CredentialsTypically requires a degree in data science, statistics, or related fields; often includes programming skills and knowledge of machine learningUsually requires a background in healthcare, statistics, or data analysis; may include certifications in data analysis tools
Work EnvironmentInvolves developing models, algorithms, and predictive analytics; often in research or tech-focused settingsFocuses on interpreting data, generating reports, and supporting clinical or administrative decisions
Employer & Industry UsageUsed by healthcare tech companies, research institutions, and large healthcare providersCommon in hospitals, clinics, insurance companies, and healthcare consulting firms

Healthcare Data Science and Healthcare Data Analysis share overlapping skills but differ mainly in scope. Data scientists develop advanced models and predictive tools, while data analysts focus on interpreting data and generating insights. Both roles are vital in healthcare but serve different functions within the industry.

Can a healthcare data scientist work in healthcare?

Yes, healthcare data scientists work within healthcare organizations to analyze medical data, improve patient outcomes, and optimize operational efficiency. They often use tools like Python, R, and SQL, and require knowledge of healthcare systems, data privacy regulations, and statistical methods.

What can you do with a degree in healthcare data science?

A degree in healthcare data science prepares individuals for roles such as healthcare data analyst, data scientist, or informaticist, where they analyze medical data, develop predictive models, and improve patient outcomes. Skills in programming, statistics, and knowledge of healthcare systems are essential, and familiarity with tools like Python, R, and electronic health records is often required.

What are the most commonly searched types of Healthcare Data Science jobs in California?

The most popular types of Healthcare Data Science jobs in California are:

What are popular job titles related to Healthcare Data Science jobs in California?

For Healthcare Data Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Healthcare Data Science jobs in California look for?

The top searched job categories for Healthcare Data Science jobs in California are:

What cities in California are hiring for Healthcare Data Science jobs?

Cities in California with the most Healthcare Data Science job openings:

Healthcare Data Science jobs near you
Infographic showing various Healthcare Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Lead Data Scientist

Onos

San Francisco, CA • On-site

$200K - $225K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 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 solve one of healthcare's biggest challenges by improving quality while reducing waste.
  • Ownership: Take on significant responsibility from day one and shape a rapidly growing company.
  • Direct collaboration: Work alongside experienced founders with deep expertise in healthcare, AI, and product development.
  • High-performing team: Join a transparent, collaborative, and execution-focused culture.
  • Build something new: Help define the next generation of AI-powered healthcare analytics.

The Role
We're looking for a Lead Data Scientist to own the analytical strategy behind the Onos platform and help our customers unlock the full value of their data.
This role sits at the intersection of data science, product, and customer success. You'll partner directly with health plans to understand their data, systems, workflows, and business challenges while working internally with Product, Engineering, and Clinical teams to shape the analytics, dashboards, and product capabilities that power the Onos platform.
Success in this role isn't measured by how many machine learning models you build-it's measured by your ability to turn complex healthcare data into products, insights, and measurable outcomes that customers trust.
You'll serve as one of Onos' analytical leaders, helping customers answer difficult questions, developing rigorous methodologies to measure ROI and clinical impact, identifying new product opportunities, and ensuring our platform continues to evolve around real customer needs.
What You'll Be Doing
Partner with Customers
  • Work directly with payer analytics, clinical, operational, and executive teams to understand their data, systems, and business objectives.
  • Help customers understand and validate the insights generated by the Onos platform.
  • Design and execute analyses that quantify ROI, clinical outcomes, operational improvements, and program impact.
  • Present methodologies, findings, and recommendations to both technical and executive audiences.
  • Serve as a trusted analytical partner during implementations, pilots, and ongoing customer engagements.

Shape Product & Data Strategy
  • Partner with Product and Engineering to determine how new data sources-including claims, clinical documentation, authorizations, and operational data-should be integrated into the platform.
  • Help define the dashboards, reporting, metrics, and analytics that customers use every day.
  • Translate customer questions and analytical needs into scalable product capabilities.
  • Identify opportunities to leverage customer data to create new products, insights, and decision-support tools.

Drive Analytics & Insight Generation
  • Explore complex healthcare datasets to identify utilization patterns, quality opportunities, provider variation, and operational inefficiencies.
  • Design rigorous analytical methodologies for measuring clinical appropriateness, quality, program integrity, and financial impact.
  • Build statistical models and analytical frameworks that support product development and customer decision-making.
  • Apply machine learning where it meaningfully improves customer outcomes and platform capabilities.

Collaborate Across the Company
  • Work closely with Product, Engineering, Clinical Operations, and Customer Success to solve complex customer problems.
  • Help prioritize analytical initiatives and influence product direction.
  • Serve as the company's subject matter expert on healthcare data, analytics, and measurement.

What We're Looking For
  • 8+ years of experience in healthcare analytics, data science, biostatistics, or a related quantitative field.
  • Deep experience working with healthcare claims, clinical, authorization, eligibility, or operational healthcare data.
  • Strong SQL and Python skills for exploratory analysis, statistical modeling, and data validation.
  • Strong foundation in statistics, experimental design, causal inference, predictive modeling, and analytical methodology.
  • Experience designing analyses that measure clinical, operational, or financial outcomes.
  • Ability to translate complex analytical concepts into clear, actionable business insights.
  • Excellent communication and presentation skills, with the ability to engage both technical teams and executive stakeholders.
  • Experience working directly with customers or external stakeholders is strongly preferred.
  • Product-minded, with an interest in turning analytical insights into scalable software capabilities.
  • Comfortable working in ambiguity and excited to help build processes, products, and best practices from the ground up.
  • Healthcare payer, provider, or health technology experience strongly preferred.
  • Exceptional references from colleagues and former managers.

Why This Role Is Unique
At Onos, data science isn't an isolated research function. You'll help customers answer their hardest analytical questions, influence the direction of our product, define how healthcare data is transformed into actionable intelligence, and play a central role in building one of the most ambitious AI platforms in healthcare.
If you enjoy solving messy problems, working directly with customers, and seeing your work shape both products and real-world healthcare decisions, we'd love to talk.
Benefits & Perks
  • Flexible hybrid arrangement (~3 days/week in our San Francisco office)
  • 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 both the product and company
  • Regular team events and off-sites
  • Company-provided equipment and home office setup

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

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