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Data Science In Healthcare Jobs in California (NOW HIRING)

Medclinicx

Healthcare Data Scientist

San Francisco, CA · On-site

$120 - $180/hr

Bachelor's or Master's in Data Science, CS, Stats, ML, or related field. * Strong experience in ... Experience in US healthcare or healthcare SaaS platforms. * Knowledge of HIPAA regulations ...

New

Knit Health

Senior Data Scientist

San Francisco, CA

$140K - $175K/yr

Why this role Knit Health is seeking an experienced and visionary Senior Data Scientist to help advance our next-generation clinical intelligence platform at a pivotal time in healthcare innovation.

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

... in Data Science SKILLS * SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

... in Data Science SKILLS * SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing ...

Knit Health

Senior Data Scientist

San Francisco, CA · On-site

$140K - $175K/yr

As a senior member of our growing data science team, you will lead the design, curation, and ... Frame, design, execute and interpret ML-based data analyses in response to specific healthcare use ...

Oscar Health

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

Help ensure data science processes and outputs align with broader team strategies and roadmaps ... Knowledge of or previous work experience in health care or health insurance * Experience mentoring ...

UC Davis Health

Senior Data Scientist

Sacramento, CA · On-site

$116K - $241K/yr

... in healthcare data science or comparable field * Hands-on data science problem solving with real-world, complex data sets. Experience applying machine learning, predictive analytic, time series ...

Find Data Science

Data Scientist

San Francisco, CA

Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. * Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment.

New

Onos Health

Lead Data Scientist

San Francisco, CA · On-site

$180 - $260/hr

What we're looking for: * 8+ years of experience in data science or advanced analytics (preferably in healthcare or health plans; experience with claims and clinical data strongly preferred). * Deep ...

Oscar Health

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

Help ensure data science processes and outputs align with broader team strategies and roadmaps ... Knowledge of or previous work experience in health care or health insurance * Experience mentoring ...

Oscar Health

Data Scientist II

Los Angeles, CA · On-site

$131K - $172K/yr

Help ensure data science processes and outputs align with broader team strategies and roadmaps ... Knowledge of or previous work experience in health care or health insurance * Experience mentoring ...

Latica AI

Senior Data Scientist

Palo Alto, CA · On-site

$160K - $190K/yr

Latica was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI, and cybersecurity. We look for people who are smart, open, and enjoyable to work with. We invest in ...

Latica

Senior Data Scientist

Palo Alto, CA · On-site

$160K - $190K/yr

Latica was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI, and cybersecurity. We look for people who are smart, open, and enjoyable to work with. We invest in ...

Latica

Senior Data Scientist

Palo Alto, CA · On-site

$120 - $180/hr

Latica was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI, and cybersecurity. We look for people who are smart, open, and enjoyable to work with. We invest in ...

Latica

Senior Data Scientist

Palo Alto, CA · On-site

$160K - $190K/yr

Latica was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI, and cybersecurity. We look for people who are smart, open, and enjoyable to work with. We invest in ...

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All JobsData Science In Healthcare JobsData Science In Healthcare Jobs in California

Data Science In Healthcare information

See California salary details

$45.4K

$162.9K

$240.3K

How much do data science in healthcare jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science in healthcare 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.

Can a data scientist work in healthcare?

Yes, data scientists can work in healthcare by analyzing medical data, developing predictive models, and improving patient outcomes. They often use tools like Python, R, and machine learning techniques, and may need knowledge of healthcare regulations such as HIPAA.

What is data science in healthcare?

Data science in healthcare involves analyzing large sets of medical and patient data to improve patient outcomes, optimize operations, and support clinical decision-making. Data scientists in this field use tools like statistical analysis, machine learning, and data visualization to extract insights from electronic health records, medical imaging, and other health-related data sources.
What are popular job titles related to Data Science In Healthcare jobs in California? For Data Science In Healthcare jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Science In Healthcare jobs in California look for? The top searched job categories for Data Science In Healthcare jobs in California are:
Data Science In Healthcare jobs near you
Infographic showing various Data Science In Healthcare job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Healthcare Data Scientist

Medclinicx

San Francisco, CA • On-site

$120 - $180/hr

Other

Posted 3 days ago

New

Job description

Med Clinic X is a healthcare technology company focused on building advanced AI-driven digital health systems for healthcare organizations across the United States.

We design and develop healthcare SaaS platforms, patient portals, AI-powered clinical systems, telemedicine solutions, automation tools, and data-driven healthcare products for clinics, hospitals, and healthcare providers.

Our mission is to transform healthcare using data, machine learning, and intelligent systems that improve patient outcomes and operational efficiency.

Job Overview

We are seeking a Healthcare Data Scientist to design and build advanced analytics models, machine learning systems, and AI-driven healthcare solutions.

In this role, you will work with large-scale healthcare datasets from clinical systems, EHR platforms, and SaaS applications to build predictive models and intelligent systems that support healthcare decision-making.

You will collaborate with engineers, product teams, clinical stakeholders, and data analysts to develop AI solutions that power the next generation of digital healthcare products.

Key Responsibilities
  • Build predictive models for healthcare outcomes and clinical insights.
  • Develop machine learning algorithms using structured and unstructured healthcare data.
  • Design AI systems for patient risk prediction and operational optimization.
  • Train and evaluate models using real-world healthcare datasets.
Healthcare Data Science & Analytics
  • Analyze complex healthcare datasets from multiple clinical sources.
  • Identify trends, patterns, and correlations in clinical and operational data.
  • Develop statistical models to support healthcare decision-making.
  • Perform feature engineering for healthcare AI systems.
  • Support AI features for healthcare SaaS platforms and patient portals.
  • Improve personalization and automation in healthcare applications.
  • Analyze user behavior and system performance in digital health platforms.
  • Build data-driven insights for healthcare product teams.
  • Work with engineers to deploy machine learning models into production systems.
  • Collaborate with product managers to define AI-driven healthcare features.
  • Support integration of AI models with healthcare APIs and platforms.
  • Ensure scalability and reliability of healthcare AI systems.
Healthcare Technology Areas You Will Work With

Train and evaluate models for disease diagnosis, clinical risk mapping, and workflow assistant tools.

Predictive analytics systems

Build models to estimate readmission risks, hospital length of stay, and operational bottlenecks.

Support clinical decision-making by surfacing patient flags directly in doctor queues.

Engineer features from longitudinal patient charts to map cardiac, diabetic, and respiratory risk trajectories.

Clinical NLP engines

Leverage LLMs and clinical BERT to extract medical terms, intents, and symptoms from doctor notes.

Healthcare SaaS intelligence

Deploy SaaS intelligence layers optimizing doctor schedules and automating intake briefs.

Core Technical Requirements

Statistical & Predictive Modeling Required

Deep Learning (TensorFlow/PyTorch) Highly Valued

EHR/EMR Dataset architectures Highly Valued

HIPAA Compliance & MLOps Preferred

Required Qualifications
  • Bachelor’s or Master’s in Data Science, CS, Stats, ML, or related field.
  • Strong experience in statistical modeling and predictive machine learning.
  • Proficiency in Python and standard ML libraries (Pandas, Scikit-learn).
  • Experience with SQL and relational/non-relational database query optimization.
Preferred Qualifications
  • Experience in US healthcare or healthcare SaaS platforms.
  • Knowledge of HIPAA regulations, anonymization, and data privacy.
  • Experience working with large EMR/EHR datasets or clinical notes.
  • Knowledge of HL7, FHIR, or healthcare data standards.
Why Join Med Clinic X?
  • Build ML systems directly used to improve real-world US clinical delivery.
  • Analyze large-scale, high-complexity longitudinal patient datasets.
  • Collaborate with top-tier engineers and clinical decision makers.
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