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Health Data Scientist Jobs in California (NOW HIRING)

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Work with health data and time-series sensor data * Connect biomedical sensor data with medical ... Collaborate with an interdisciplinary team of scientists, engineers, mathematicians for quick ...

Data Scientist

Santa Cruz, CA · On-site

$130K - $170K/yr

Work with health data and time-series sensor data * Connect biomedical sensor data with medical ... Collaborate with an interdisciplinary team of scientists, engineers, mathematicians for quick ...

DATA SCIENTIST

San Diego, CA · On-site

$120K - $150K/yr

We offer competitive compensation and benefits, including Health, Vision, and Dental Insurance, a ... Position: Data Scientist (Machine Learning Engineer) Location: San Diego, CA Clearance Level:

DATA SCIENTIST

San Diego, CA · On-site

$120K - $150K/yr

We offer competitive compensation and benefits, including Health, Vision, and Dental Insurance, a ... Position: Data Scientist (Machine Learning Engineer) Location: San Diego, CA Clearance Level:

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

... healthcare data to support decision-making across the Los Angeles County Department of Health ... The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit ...

... healthcare data to support decision-making across the Los Angeles County Department of Health ... The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit ...

Data Scientist Supervisor

Alhambra, CA · On-site

$110 - $148/hr

... healthcare data to support decision-making across the Los Angeles County Department of Health ... The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit ...

... game-changing, healthcare-related products. Job title and compensation will be adjusted as ... A passion for data science and problem-solving in general * Self-driven individual who can take a ...

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

The role combines strong health plan operations knowledge with data science methods and AI-enabled analytics tooling (GenAI, agentic workflows) to surface and size opportunities from claims, clinical ...

The Data Scientist is a key member of the Pricing Strategy & Insights team, responsible for ... Health. This role focuses on leveraging large, complex datasets to uncover patterns in pricing ...

... game-changing, healthcare-related products. Job title and compensation will be adjusted as ... A passion for data science and problem-solving in general * Self-driven individual who can take a ...

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

Data Scientist II

Los Angeles, CA · On-site

$131K - $172K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

Data Scientist

San Francisco, CA · On-site

$150 - $185/hr

ABOUT THE ROLE We are looking for a hands‑on Data Scientist to own and deliver complex ... Samba provides health insurance, wellness offerings, life and disability insurance, a retirement ...

Data Scientist

Monterey, CA · On-site

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

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Showing results 1-20

Health Data Scientist information

See California salary details

$37K

$121.1K

$193.9K

How much do health data scientist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for health data scientist in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

What does a health data scientist do?

A Health Data Scientist analyzes complex healthcare data to improve patient outcomes, optimize operations, and support medical research. They leverage statistical modeling, machine learning, and data visualization to uncover insights from electronic health records, clinical trials, and other health-related sources. Their work helps healthcare providers make data-driven decisions, enhances public health strategies, and contributes to medical innovations. Effective communication and domain knowledge in healthcare are crucial for translating data findings into actionable recommendations.

What types of projects do health data scientists typically work on within healthcare organizations?

Health Data Scientists often work on projects such as analyzing patient outcomes, predicting disease trends, optimizing hospital workflows, and ensuring data quality for clinical research. They may collaborate closely with doctors, nurses, IT professionals, and administrators to translate raw health data into actionable insights that drive improvements in care delivery. Day-to-day tasks can include building predictive models, developing dashboards for real-time data monitoring, and identifying patterns to inform public health initiatives. This collaborative and impactful work environment offers the opportunity to see direct results from your analyses, as your findings can help shape critical healthcare decisions and policies.

What are the key skills and qualifications needed to thrive as a health data scientist, and why are they important?

To thrive as a Health Data Scientist, you need a strong background in statistics, data analysis, and a relevant degree in fields such as data science, public health, or biostatistics. Familiarity with programming languages like Python or R, data visualization tools, and experience with healthcare databases or platforms like SQL and HL7 are often required, with certifications such as Certified Health Data Analyst (CHDA) seen as an asset. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings to non-technical stakeholders help individuals excel. These abilities are critical for extracting valuable insights from health data, supporting decision-making, and improving healthcare outcomes.

What are the most commonly searched types of Health Data Scientist jobs in California?

The most popular types of Health Data Scientist jobs in California are:

What cities in California are hiring for Health Data Scientist jobs?

Cities in California with the most Health Data Scientist job openings:

Infographic showing various Health Data Scientist job openings in California as of August 2026, with employment types broken down into 78% Full Time, 16% Part Time, 2% Temporary, and 4% Contract. Highlights an 96% In-person, 2% Hybrid, and 2% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

$130K - $170K/yr

Full-time

Re-posted 20 days ago


Job description

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless biosensing together with end-to-end engineering services, and customization of software in the field of life sciences, health, and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent portfolio of 135+ patents. Fullpower's key areas of expertise include contactless biosensing, remote monitoring, non-invasive sleep technology, and the development of new technologies for others in the life sciences and biotechnology fields. Fullpower's B2B PaaS customers are in medical solutions, remote-contactless biosensing, bedding solutions, wearable, and wellness services.

Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in working on our next generation of products and algorithms and modeling rich, biomedical sensor data with a view toward medical, health, and fitness outcomes.

The ideal candidate will have a strong background in machine learning and data science and a proven track record of deploying models and algorithms for real-world applications.

Job Responsibilities:

  • Work with health data and time-series sensor data
  • Connect biomedical sensor data with medical, health, and fitness outcomes
  • Research and development of machine learning algorithms and statistical models for non-invasive sleep tracking
  • Develop visualizations and tools for understanding and annotating data
  • Optimize algorithms for running on embedded devices and in the cloud
  • Design and run experiments and clinical trials
  • Processing, cleaning, and combining different data sources to create new datasets
  • Collaborate with an interdisciplinary team of scientists, engineers, mathematicians for quick deployment of solutions

Software skills:

  • Expertise in Python and packages such as numpy, pandas, scikit-learn
  • Experience with a deep learning framework such as Tensorflow, pyTorch, or equivalent
  • Experience working with databases including familiarity with SQL
  • Experience with Amazon Web Services (AWS) or Google Cloud
  • Experience with C++ is a plus

Leadership qualities:

  • Self starter
  • Strong interpersonal and communication skills

Education and Experience:

  • Experience applying data science and machine learning to real-world problems
  • Bachelor's degree or higher in Mathematics, Statistics, Physics, Computer Science, or equivalent
  • Graduate degree and/or 5+ years experience a plus

Additional Information:

  • Fullpower does not sponsor work visas - must already be authorized to work in the United States
  • The base salary range for this full-time position is $130,000 to $170,000, plus equity, plus benefits. Fullpower's salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education and training.
Employment Type: Full-Time