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

Persistent interns who will stop at nothing to live out Stryker's mission to make healthcare better ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

Persistent interns who will stop at nothing to live out Stryker's mission to make healthcare better ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

... will join the Personalization Data Science and Machine Learning team to focus on solving ... Apply advanced statistical and predictive modeling techniques to optimize healthcare and digital ...

Required : • Minimum of four (4) years of experience in analytics, data science, and business ... With a mission to heal and inspire the human spirit, Inland Empire Health Plan (IEHP) is one of the ...

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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 4, 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.

Healthcare Data Analyst II

Inland Empire Health Plans

Rancho Cucamonga, CA • On-site

$90 - $120/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

New


Job description

What you can expect!

Find joy in serving others with IEHP! We welcome you to join us in “healing and inspiring the human spirit” and to pivot from a “job” opportunity to anauthentic experience!

Under the direction of the Quality Systems Leadership Team, the Healthcare Data Analyst II (HDA) is responsible for leading various data and analysis efforts for the Health Plan’s Clinical and Provider departments, programs, and quality activities. The HDA must have significant experience in designing relational databases, complex query logic and statistical analysis. In addition to technical data concepts, the HDA will utilize sound research methods and statistical concepts in designing reliable studies/analyses, and payment algorithms supporting IEHP’s quality programs. The HDA presents study/analysis results to various audiences throughout the organization, including the leadership team.

Commitment to Quality: The IEHP Team is committed to incorporate IEHP’s Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation.


Perks

IEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more.

  • Competitive salary
  • State of the art fitness center on-site
  • Medical Insurance with Dental and Vision
  • Life, short-term, and long-term disability options
  • Career advancement opportunities and professional development
  • Wellness programs that promote a healthy work-life balance
  • Flexible Spending Account – Health Care/Childcare
  • CalPERS retirement
  • 457(b) option with a contribution match
  • Paid life insurance for employees
  • Pet care insurance

Education & Requirements
  • Three (3) years of relevant work experience
  • Demonstrated experience working with large data sets and relational database structures
  • Master’s degree from an accredited institution required
  • In lieu of a Master's degree, a minimum of a Bachelor’s degree and two (2) years of additional relevant work experience is required for this position
  • This experience is in addition to the minimum years listed in the Experience Requirements above
Key Qualifications
  • Understanding of statistical methods and experience applying statistical methods to answer data questions
  • Working knowledge of data analysis, study methodology, and preparing professional documents
  • Data analysis, data presentation, spread sheet and database capabilities
  • Proficient in of Microsoft Access, MS PowerBI, SAS, SQL, or other statistical applications are essential
  • Excellent interpersonal/ communication skills
  • Proficiency in Microsoft Excel, Word and Power Point required
  • Strong attention to detail
  • Ability to present reports / data analysis findings in group settings
  • Strong problem-solving capability
  • Ability to manage multiple projects with time-sensitive deadlines a must
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