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Healthcare Data Science Jobs in Riverside, CA (NOW HIRING)

Sr Analyst, People Analytics and Data

Irvine, CA ยท On-site

$92K - $116K/yr

Experience in a multi-regional healthcare, retail, or dental company. * Master's Degree in Business, IT/MIS, Data Science, Statistics or related field. * Workday Pro Certified (HCM Core, HCM ...

Master's degree preferred in Public Health, Healthcare Administration, Business Analytics, Organizational Development, Psychology, Social Sciences, Data Science, or a related field. EXPERIENCE:

Director of Data Analytics

Irvine, CA ยท On-site

$150 - $230/hr

Bachelor's degree in Data Analytics, Computer Science, Statistics, Healthcare Administration, or a related field. Master's degree preferred. * 8+ years in Data Analytics/Business Intelligence, with ...

New

The primary role of the Healthcare Coordinator (HC) is to partner with supported Dentists to help ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

Healthcare Coordinator

Grand Terrace, CA ยท On-site

$18 - $25.50/hr

The Healthcare Coordinator should support each patient in a consultative and educational manner ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

The primary role of the Healthcare Coordinator (HC) is to partner with supported Dentists to help ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

Healthcare Coordinator

Menifee, CA ยท On-site

$18 - $25.50/hr

The Healthcare Coordinator should support each patient in a consultative and educational manner ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

Showing results 41-60

Healthcare Data Science information

See Riverside, CA salary details

$48K

$172.2K

$254K

How much do healthcare data science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for healthcare data science in Riverside, CA is $172,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,300.00 and $177,400.00 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 Riverside, CA?

The most popular types of Healthcare Data Science jobs in Riverside, CA are:

What are popular job titles related to Healthcare Data Science jobs in Riverside, CA?

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

What job categories do people searching Healthcare Data Science jobs in Riverside, CA look for?

The top searched job categories for Healthcare Data Science jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Healthcare Data Science jobs?

Cities near Riverside, CA with the most Healthcare Data Science job openings:

Infographic showing various Healthcare Data Science job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $172,158 per year, or $82.8 per hour.

Engineer I, Business Analytics and Data Intelligence

PDS Health

Irvine, CA โ€ข On-site

$93K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago


Job description

Now is the time to join PDS Health. You will have opportunities to learn new skills from our team of experienced professionals. If you're ready to take your career to the next level and gain valuable experience, apply today!
The Engineer, Data Management and Analytics assist with data solutions to support PDS Health data, analysis, and reporting needs. The Engineer applies system analysis techniques and procedures to determine hardware, software or system functional specifications.
Responsibilities
  • Work closely with Data Warehouse Product Owner and Business System Analyst (BSA) to understand the business needs and collaborate to write user stories.
  • Collaborate with Sr Engineer and Data Architect to develop data flows.
  • Build data pipeline flow to load data from various data sources and apply complex business logic to populate normalized and denormalized data structure.
  • Diagnose and fix data pipelines, data quality, and data accessibility issues.
  • Manage and optimize data warehouse, data lake, and other data infrastructure components.
  • Develop and implement data validation rules, monitor systems, and data lineage tracking to ensure data accuracy, consistency, and reliability.
  • Implement automation to streamline data workflows and reduce manual effort.
  • Other duties and responsibilities as assigned.

Required
  • Bachelor's degree in Computer Science, Management Information Systems, or related field of study from an accredited college or university. In lieu of degree, 5+ years of professional experience.
  • 2+ years of professional experience in database development, Online Transaction Processing (OLTP) and Data Warehouse and Dimensional, Cloud Data Platform, building and maintaining data pipelines, agile methodologies, and source control (Bitbucket/Git/Github), and software development lifecycle.
  • Proficiency in programming languages - SQL, Python, Scala

Preferred
  • Experience integrating Epic (Clarity/Caboodle) data models or related healthcare data.
  • Experience in Microsoft SSIS.
  • Experience with Microsoft Fabric
  • Experience using Python for data integration and analysis.
  • Experience with data observability tools and anomaly detection frameworks.
  • Exposure to MLOps practices and model data pipeline support.
  • Experience with Kafka or streaming ingestion frameworks
  • Experience using AI copilots or automation tools in development workflows
  • Experience with Cloud Lakehouse experience for any of the Cloud vendors (AWS, Azure, GCP)
  • Experience with Enterprise orchestration tools - like Airflow, Dagster.

Knowledge/Skills/Abilities
  • Ability to multi-task effectively without compromising the work quality.
  • Demonstrated effective interpersonal, verbal and written communication skills.
  • Detail oriented, organized, customer experience/process focused, problem resolution, and proactive.
  • Ability to draw conclusions and make independent decisions with limited information.
  • Ability to respond to common inquiries from customers, staff, regulatory agencies, vendors, and other members of the business community.
  • Ability to be self-motivated, reliable, work independently, as part of a team, and work effectively with all levels within the organization.
  • Demonstrated intellectual curiosity to work through ambiguity.
  • Demonstrated change management in a fast-paced environment under time constraints.
  • Ability to work with mathematical concepts: probability and statistical inference.
  • Ability to effectively simplify moderate to complex data and communication information to leadership.

Benefits
  • Medical, dental, and vision insurance
  • Paid time off
  • Tuition Reimbursement
  • 401K
  • Paid time to volunteer in your local community

PDS Health is an Equal Opportunity Employer. We celebrate diversity and are united in our mission to create healthier and happier team members.
Compensation Information
$93,000.00-$117,000.00 / Annually
PDS Health is an Equal Opportunity Employer. We celebrate diversity and are united in our mission to create healthier and happier team members.