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Healthcare Data Science Jobs (NOW HIRING)

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 ...

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 ...

Marencor

AI/ML Data Scientist

New York, NY · On-site

Track experiments using MLflow, Weights & Biases Required Qualifications: * 3-5 years in applied data science or machine learning * Experience with Snowflake SQL , Python ML ecosystem, healthcare ...

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

$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

Clinical Data Scientist (Remote)

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 ...

Waymark

Data/AI Scientist II

$95K - $127K/yr

About this role At Waymark, our data science work is grounded in a specific and meaningful challenge: using claims, EHR, and care worker data to help community health workers, social workers ...

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Healthcare Data Science information

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$46K

$165K

$243.5K

How much do healthcare data science jobs pay per year?

As of Aug 11, 2026, the average yearly pay for healthcare data science in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 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.
More about Healthcare Data Science jobs
What cities are hiring for Healthcare Data Science jobs? Cities with the most Healthcare Data Science job openings:
What are the most commonly searched types of Healthcare Data Science jobs? The most popular types of Healthcare Data Science jobs are:
What states have the most Healthcare Data Science jobs? States with the most job openings for Healthcare Data Science jobs include:
What job categories do people searching Healthcare Data Science jobs look for? The top searched job categories for Healthcare Data Science jobs are:
Healthcare Data Science jobs near you
Infographic showing various Healthcare Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Data Scientist

Latica AI

Palo Alto, CA • On-site

$160K - $190K/yr

Full-time

Re-posted 15 days ago

Job description

Who We Are
At Latica, our goal is to unlock the value of healthcare data to transform patient care. Latica is a community data network and clinical AI platform that enables to safely access de-identified real-world data and accelerate diagnostic and therapeutic innovation. Our platform enables fast, compliant access to diverse clinical data, advancing R&D for diagnostics, therapeutics, pharmaceutical studies, and medical devices. 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 high-potential, humble team members who grow their responsibilities as the company scales.
What You'll Do
  • Lead end-to-end medical research projects with top-tier life science companies.
  • Conduct EMR data exploration and extract relevant clinical features.
  • Apply LLM-based feature engineering to transform unstructured data into clinical insights.
  • Support clinical protocol design from a data and feasibility perspective.
  • Perform statistical analyses and present results to clients (dashboards, publications, presentations).
  • Become a subject matter expert in our proprietary healthcare data.
  • Develop cross-client pipelines to support our data infrastructure and product.
  • Build diverse patient cohorts and datasets to continuously enrich Latica's data catalog.
Must Have
  • 5+ years of experience as a Data Scientist or in a similar analytical role, with 3+ years in the healthcare industry (required).
  • Experience in client-facing roles and working with pharmaceutical or life sciences companies (required).
  • Advanced proficiency in Python and SQL.
  • Deep familiarity with Electronic Medical Records (EMRs) and healthcare coding systems (CPT, ICD-10, etc.).
  • Experience with cloud infrastructure platforms (AWS/GCP) - preferred.
  • A collaborative team player who is self-motivated, quick to learn, and possesses excellent analytical, research, and business acumen.

Extra Credit
  • R, Large Language Models and data pipelines

Join us to make an impact in healthcare innovation!

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