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Internship Healthcare Data Science Jobs in California

Medclinicx

Healthcare Data Scientist

San Francisco, CA · On-site

$120 - $180/hr

Train and evaluate models using real-world healthcare datasets. Healthcare Data Science & Analytics * Analyze complex healthcare datasets from multiple clinical sources. * Identify trends, patterns ...

Astiva Health

Healthcare Data Analyst

Orange, CA

$85K - $115K/yr

Bachelor's degree in Data Analytics, Health Informatics, Statistics, Computer Science, or related field. * 2-5+ years of healthcare data analytics experience. * Knowledge of Medicare Advantage ...

Astiva Health

Healthcare Data Analyst

Orange, CA · On-site

$85K - $115K/yr

Bachelor's degree in Data Analytics, Health Informatics, Statistics, Computer Science, or related field. * 2-5+ years of healthcare data analytics experience. * Knowledge of Medicare Advantage ...

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 ...

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 ...

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

$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 ...

Onos

Lead Data Scientist

San Francisco, CA · On-site

$200K - $225K/yr

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 ...

Heluna Health

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 ... Quality Assurance & Best Practices - Establish and enforce best practices in data science ...

Heluna Health

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 ... Quality Assurance & Best Practices - Establish and enforce best practices in data science ...

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All JobsHealthcare Data Science JobsInternship Healthcare Data Science JobsInternship Healthcare Data Science Jobs in California

Internship Healthcare Data Science information

What is an internship in healthcare data science?

An internship in healthcare data science is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing and interpreting healthcare data. Interns typically work with professionals on projects involving data cleaning, statistical analysis, machine learning, and data visualization to support healthcare decision-making and improve patient outcomes. These internships help participants develop technical skills, gain industry knowledge, and build professional networks in the rapidly growing field of healthcare data science.

What are the key skills and qualifications needed to thrive as an internship in healthcare data science?

To thrive as an intern in healthcare data science, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in data science, computer science, or a related field. Familiarity with data visualization tools (e.g., Tableau), healthcare databases (e.g., EHR systems), and knowledge of HIPAA regulations are often expected. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These capabilities are essential for transforming complex healthcare data into actionable insights that improve patient outcomes and support data-driven decision-making.

What types of projects do interns in healthcare data science typically work on, and how do these projects contribute to real-world healthcare improvements?

Interns in Healthcare Data Science often work on projects such as analyzing patient data to identify trends, developing predictive models for disease progression, or optimizing hospital resource allocation. These projects are usually part of larger, cross-functional teams including clinicians, IT specialists, and senior data scientists. The outcomes of your work can directly impact patient care processes, inform decision-making, and improve operational efficiency in healthcare settings. Expect regular mentorship and feedback, as well as opportunities to present your findings to technical and non-technical stakeholders.

What is the difference between Internship Healthcare Data Science vs Healthcare Data Analyst?

AspectInternship Healthcare Data ScienceHealthcare Data Analyst
Required CredentialsTypically pursuing or recent graduate in data science, statistics, or related fieldOften requires degree in health informatics, statistics, or related field
Work EnvironmentInternship setting, often in hospitals, healthcare tech companies, or research institutionsFull-time or part-time roles in healthcare organizations, clinics, or health IT firms
Employer & Industry UsageUsed by healthcare providers, research institutions, and tech companies for training and entry-level rolesCommon in hospitals, insurance companies, and healthcare consulting firms for data analysis tasks

Internship Healthcare Data Science positions are entry-level, focused on training and gaining experience in data science techniques applied to healthcare. Healthcare Data Analysts are more established roles, responsible for analyzing healthcare data to support decision-making. Both roles require similar educational backgrounds but differ in experience level and job responsibilities.

Can data science be used in healthcare?

Healthcare data science involves analyzing medical data to improve patient outcomes, optimize treatments, and support clinical decision-making. Data scientists in healthcare use tools like machine learning, statistical analysis, and data visualization to interpret complex health data and develop predictive models. This field requires knowledge of healthcare systems, programming skills, and adherence to privacy regulations such as HIPAA.

How do I become a healthcare data scientist?

To become a healthcare data scientist, you typically need a strong background in data science, statistics, or computer science, often with a relevant bachelor's or master's degree. Skills in programming languages like Python or R, knowledge of healthcare data systems, and experience with machine learning are essential. Gaining certifications in data analysis or healthcare informatics can also enhance your qualifications.

How to get an internship in healthcare data science?

To secure a healthcare data science internship, candidates should have a strong foundation in data analysis, programming (such as Python or R), and knowledge of healthcare systems. Relevant coursework, certifications in data science or healthcare analytics, and experience with tools like SQL and machine learning can improve chances. Applying through university career services, networking with industry professionals, and demonstrating project work are also effective strategies.

What are popular job titles related to Internship Healthcare Data Science jobs in California?

For Internship Healthcare Data Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Internship Healthcare Data Science jobs in California look for?

The top searched job categories for Internship Healthcare Data Science jobs in California are:

What cities in California are hiring for Internship Healthcare Data Science jobs?

Cities in California with the most Internship Healthcare Data Science job openings:

Internship Healthcare Data Science jobs near you
Infographic showing various Internship Healthcare Data Science job openings in California as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.

Healthcare Data Scientist

Medclinicx

San Francisco, CA • On-site

$120 - $180/hr

Other

Posted 18 days ago

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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