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Healthcare Data Science Jobs in California (NOW HIRING)

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 ...

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 ...

Stanfordlivetickets

Biomedical Data Science

Palo Alto, CA · On-site

$110 - $170/hr

... world of health care. You will have the opportunity to influence and drive change with your ... The successful candidate will apply modern data science, biomedical informatics, and artificial ...

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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.

Senior Data Scientist

Cogitativo

Berkeley, CA • On-site

Full-time

Re-posted 17 days ago

Job description

Senior Data Scientist
Senior Data Scientists on our team partner with product managers, SMEs and our clients to form a cross-functional team driving optimization of precious healthcare resources.
We are looking for strong, enthusiastic data scientists to join the team focusing on value creating products. With access to more than 55 million consumer healthcare datasets, our Data Scientists rely heavily on insights gained from data to guide feature development and metrics to detect optimization opportunities and improvements in healthcare delivery. The clarity and insights that our team provides enables our clients to quickly extract value from our collective efforts.
Job responsibilities include:
Inform product strategy, influence the product roadmap, and guide product decisions by:
  • Accessing and analyzing rich healthcare data to generate insights and make proactive recommendations.
  • Formulating success metrics for optimizing healthcare resources and patient experience, creating visualization to monitor them.
  • Designing and analyzing experiments to test new ideas for optimizing improving our clients precious resources.
  • Developing models and data-driven solutions that add material insight to our clients understanding of their business and their business environment

Cogitativo's data is amazingly rich and provides a fantastic opportunity for Data Scientists to explore and create, ultimately developing ways to improve our healthcare system.
You'll have the opportunity to work with some of the best data people anywhere in an environment that truly values data-driven decisions.
Required qualifications include:
  • Minimum five years' experience as a Data Scientist
  • PhD or Masters in a quantitative discipline: Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering
  • Working knowledge of health care systems and healthcare terminology
  • Expert in analyzing large complex, multi-dimensional data sets with a variety of tools
  • Ability to thrive and demonstrate constant applied learning in highly complex, interdisciplinary, and dynamic work environment
  • Strong programming experience in R, or Python

If you're up to making an impact on humanity and this position sounds like an attractive match for you; contact us!

Apply