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

DATA SCIENTIST II

Norco, CA · On-site

$115 - $130/hr

Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or ... We offer a customizable health benefits program that best meets the needs of its employees.

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or ... We offer a customizable health benefits program that best meets the needs of its employees.

... Bachelor's degree in Computer Science, MIS, or Information Management from an accredited ... of healthcare data (i.e., PHI/PII, HIPAA, etc.) preferred Company : With a mission to heal and ...

Required : • Minimum of four (4) years of experience in data governance, data quality, or data management within the healthcare industry • Hands-on experience working with Medicaid, Medicare, or ...

Industry/Sector Not Applicable Specialism Data Science Management Level Director & Summary The ... You will create a healthy working environment, maximizing client satisfaction and cultivating ...

... healthcare, electronics, business innovation, and imaging. We are guided and united by our Group ... Lead data science programs for manufacturing quality, supply chain, and R&D. * Own bioinformatics ...

Showing results 21-40

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 Aug 12, 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 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 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.

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 can you do with a degree in healthcare data science?

A degree in healthcare data science prepares individuals to analyze medical data, develop predictive models, and improve patient outcomes. Graduates can work as data analysts, data scientists, or informaticists in hospitals, healthcare companies, or research institutions, often using tools like Python, R, and SQL. The role involves interpreting complex data to support clinical decisions and healthcare policies.

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.

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 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 July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $172,158 per year, or $82.8 per hour.

DATA SCIENTIST II

VSolvit, LLC.

Norco, CA • On-site

$115 - $130/hr

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 12 days ago


Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

DATA SCIENTIST II

Full Time VS CA NORCO, Norco, CA, US

7 days ago Requisition ID: 1577

Salary Range: $115,000.00 To $130,000.00 Annually

Data Scientist II

On Site: Norco, CA

Job Summary

We are seeking a talented and driven mid-level Data Scientist to join our evolving and dynamic team. In this role, you will apply advanced data analytics and machine learning techniques to explore large, complex datasets for unknown trends and patterns regarding customer behavior, product performance, and operation efficiency to develop predictive models and support decision-making processes while adhering to the highest standards of security and confidentiality. You have a unique talent for finding answers to questions our customers never thought to ask by analyzing data in new ways. to solve complex problems in a variety of domains.

As with any position, additional expectations exist. Some of these are, but are not limited to, adhering to normal working hours, meeting deadlines, following company policies as outlined by the Employee Handbook, communicating regularly with assigned supervisor(s), and staying focused on the assigned tasks including company meetings, and completing other tasks as assigned.

Responsibilities
  • Analyze large and complex datasets to extract actionable insights that will inform business strategies and decisions
  • Develop, implement, and maintain predictive models and machine learning algorithms
  • Collaborate with cross-functional teams to understand business needs and translate them into technical solutions
  • Use statistical methods, data mining, and machine learning to uncover trends and patterns within the data
  • Prepare reports and presentations that effectively communicate your findings to both technical and non-technical stakeholders
  • Ensure compliance with all security protocols and confidentiality requirements, adhering to industry standards and internal policies
  • Support senior leadership in strategic decision-making through advanced data-driven insights
  • Stay up-to-date with the latest developments in data science, machine learning, and related fields
  • Provide technical guidance and mentorship to junior data scientists and analysts
Basic Qualifications

Ability to obtain Secret Security Clearance

  • Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related field
  • Two to five years of experience as a Data Scientist or in a related data analysis role
  • Proficiency in Python, R, or similar programming languages for data analysis
  • Working knowledge in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Knowledge of SQL and experience with relational databases
  • Machine Learning experience
  • Working knowledge and familiarity with data visualization tools like Tableau, Power BI, or similar
  • Solid understanding of statistical modeling, hypothesis testing, and data-driven decision-making
  • Excellent communication skills, with the ability to present technical findings to non-technical stakeholder
  • Experience working with Atlassian product and project management tools (Jira, Confluence)
  • If applicable: If you are or have been recently employed by the U.S. government, a post-employment ethics letter will be required if employment is offered
Preferred Skills and Qualifications
  • Experience working with classified government data or in a defense-related environment
  • Familiarity with cloud platforms (AWS, Azure, etc.) and data processing tools
  • Continued education and knowledge of current and emerging AL/ML technologies (e.g., Hadoop, Spark)
  • Experience with DevOps practices and version control (Git, GitHub)
  • Strong problem-solving skills and ability to work in a fast-paced environment
Company Summary

Join the VSolvit Team! Founded in 2006, VSolvit (pronounced 'We Solve It') is a technology services provider that specializes in cybersecurity, cloud computing, geographic information systems (GIS), business intelligence (BI) systems, data warehousing, engineering services, and custom database and application development. VSolvit is an award winning WOSB, CA CDB, MBE, WBE, and CMMI Level 3 certified company. We offer a customizable health benefits program that best meets the needs of its employees. Offering may include: medical, dental, and vision insurance, life insurance, long and short-term disability and other insurance products, Health Savings Account, Flexible Spending Account, 401K Retirement Plan options, Tuition Reimbursement, and assorted voluntary benefits. Our goal is to grow together and enjoy the work that we do as a team.

VSolvit LLC is an Equal Opportunity/Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status.

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