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Healthcare Data Scientist Jobs (NOW HIRING)

EPIC Brokers

Healthcare Data Scientist

Artemetrx is PSG's robust data and analytics platform that drives measurable financial results for clients through advanced healthcare data, reporting, and analytics. The Data Scientist will support ...

Medclinicx

Healthcare Data Scientist

San Francisco, CA · On-site

$120 - $180/hr

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 ...

New

Pwc

Payer Healthcare Data Scientist, Manager

Phoenix, AZ · On-site

$99K - $232K/yr

This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare. Responsibilities - Apply advanced data science ...

Pwc

Payer Healthcare Data Scientist, Manager

San Diego, CA · On-site

$99K - $232K/yr

This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare. Responsibilities - Apply advanced data science ...

Pwc

Payer Healthcare Data Scientist, Manager

Seattle, WA

$99K - $232K/yr

This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare. Responsibilities - Apply advanced data science ...

Marencor

AI/ML Data Scientist

New York, NY · On-site

AI/ML Data Scientist Location: New York, NY Role Summary: Develop and evaluate machine learning and ... healthcare data. Responsibilities: * Train supervised and unsupervised models using Python ...

Pwc

Payer Healthcare Data Scientist, Manager

Melville, NY · On-site

$99K - $232K/yr

This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare. Responsibilities - Apply advanced data science ...

Pwc

Payer Healthcare Data Scientist, Manager

Des Moines, IA · On-site

$99K - $232K/yr

This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare. Responsibilities - Apply advanced data science ...

Latica AI

Senior Data Scientist

Palo Alto, CA · On-site

$160K - $190K/yr

Who We Are At Latica, our goal is to unlock the value of healthcare data to transform patient care ... Latica was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI ...

Pwc

Payer Healthcare Data Scientist, Manager

Charlotte, NC · On-site

$99K - $232K/yr

This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare. Responsibilities - Apply advanced data science ...

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All JobsHealthcare Data Scientist Jobs

Healthcare Data Scientist information

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$46K

$165K

$243.5K

How much do healthcare data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for healthcare data scientist 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, and why are they important?

To thrive as a Healthcare Data Scientist, you need expertise in statistics, data analysis, and a strong background in computer science or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of healthcare data standards (such as HL7 or FHIR) are typically required. Strong problem-solving abilities, communication skills, and the ability to collaborate with cross-functional teams set top professionals apart. These skills enable effective analysis of complex healthcare data, leading to better patient outcomes and more efficient healthcare delivery.

What does a healthcare data scientist do?

As a healthcare data scientist, your duties are to develop tools for collecting or extracting data maintained by hospitals, healthcare, providers, or federal and state agencies. You collect and analyze information, such as medical records, insurance claims, or billing information and then identify patterns or trends in the data and recommend ways to use that information to improve industry efficiency and performance. Healthcare data scientists develop forecasting and modeling programs designed to form analyses of medical records or other forms of healthcare information. Sometimes you use the models themselves while in other instances you develop these models so that healthcare workers can use them in their daily practices.

Can healthcare data scientists work in healthcare?

Healthcare data scientists work directly within healthcare organizations such as hospitals, clinics, and research institutions to analyze medical data, improve patient outcomes, and support clinical decision-making. They often use tools like statistical software and machine learning techniques and may require knowledge of healthcare regulations and data privacy standards. Their role is essential for advancing healthcare research and operational efficiency.

What is the difference between Healthcare Data Scientist vs Healthcare Data Analyst?

AspectHealthcare Data ScientistHealthcare Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often advanced certificationsBachelor's or Master's in Health Informatics, Data Analysis, or related field
Work EnvironmentResearch settings, hospitals, healthcare tech companiesHospitals, clinics, insurance companies, healthcare providers
Employer & Industry UsageDevelops predictive models, advanced analytics, machine learningInterprets data, generates reports, supports decision-making

Healthcare Data Scientists focus on building predictive models and applying advanced analytics, often requiring specialized skills and certifications. Healthcare Data Analysts primarily interpret existing data, generate reports, and support operational decisions. Both roles are vital in healthcare but differ in complexity and scope.

What is a healthcare data scientist?

A Healthcare Data Scientist is a professional who analyzes and interprets complex health-related data to improve patient outcomes, optimize healthcare operations, and support medical research. They use statistical methods, machine learning, and data visualization tools to extract insights from electronic health records, medical imaging, clinical trials, and other healthcare data sources. Their work helps hospitals, clinics, and research organizations make data-driven decisions to enhance care quality, reduce costs, and advance medical knowledge.

What are some common challenges faced by healthcare data scientists when working with medical data?

Healthcare data scientists often encounter challenges such as dealing with incomplete or inconsistent patient records, ensuring data privacy and compliance with regulations like HIPAA, and integrating data from multiple sources such as electronic health records, imaging, and lab results. Additionally, translating complex data analyses into actionable insights for clinicians requires strong communication skills and domain knowledge. Collaborating closely with healthcare professionals and IT teams is essential to overcome these obstacles and deliver impactful results.
More about Healthcare Data Scientist jobs
What cities are hiring for Healthcare Data Scientist jobs? Cities with the most Healthcare Data Scientist job openings:
What are the most commonly searched types of Healthcare Data Scientist jobs? The most popular types of Healthcare Data Scientist jobs are:
Who are the top companies hiring for Healthcare Data Scientist jobs? The top employers for Healthcare Data Scientist jobs are:
What states have the most Healthcare Data Scientist jobs? States with the most job openings for Healthcare Data Scientist jobs include:
What job categories do people searching Healthcare Data Scientist jobs look for? The top searched job categories for Healthcare Data Scientist jobs are:
Healthcare Data Scientist jobs near you
Infographic showing various Healthcare Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Healthcare Data Scientist

EPIC Brokers

Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

Pharmaceutical Strategies Group (PSG) relentlessly advocates for clients as they navigate complex and ever-changing drug cost management challenges. Our mission, as we partner together with our clients, is to develop innovative drug management solutions that deliver exceptional insights with financial and clinical value.
PSG, an EPIC Company, is fueled and driven by capable, committed people who share common beliefs and values and "bring it" every day. For over 30 years PSG has been leading the way in pharmacy intelligence and growing as a result. This means we have opportunities for you to join our amazing team of talented individuals!
JOB OVERVIEW:
Artemetrx is PSG's robust data and analytics platform that drives measurable financial results for clients through advanced healthcare data, reporting, and analytics. The Data Scientist will support the continued evolution of Artemetrx by helping develop, implement, and scale analytical capabilities that improve client decision-making, identify opportunities for cost and utilization management, and support the next generation of AI-enabled drug management tools.
This role is designed for a highly analytical, curious, and technically capable individual who can work with a variety of healthcare data sets, including medical and pharmacy claims data, to uncover insights, build predictive models, and support data-driven solutions. The Data Scientist will partner with clinicians, analysts, consultants, product leaders, and technical teams to translate business questions into analytical approaches, prepare and analyze complex data, and communicate findings clearly to technical and non-technical stakeholders.
LOCATION: Remote - Anywhere in the continental U.S.
WHAT WE'RE LOOKING FOR:
  • At least 2+ years of healthcare and/or pharmaceutical analytics experience
  • Strong experience using SQL to write queries
  • Python or R experience, in particular experience building data analysis, machine learning, or forecasting models
  • Positive and outgoing disposition, eager to work as a team but also functions well working independently.

WHAT YOU'LL DO:
A detailed list of job duties includes (but is not limited to):
  • Support the development and maintenance of predictive, statistical, and machine learning models that address business and client needs across Artemetrx initiatives.
  • Analyze pharmacy and medical claims data as well as other healthcare data sets to identify trends, patterns, outliers, and opportunities that inform client strategy and improve health outcomes.
  • Assist with AI roadmap initiatives
  • Prepare, clean, transform, and validate data sets to ensure accuracy, completeness, and usability for advanced analytics, reporting, dashboards, and model development.
  • Develop clean, reusable, and testable analytical code using established data team standards, libraries, and modules.
  • Support Artemetrx through maintenance of reference tables and other data sets used within the product.
  • Use programming languages such as SQL or Python to extract, manipulate, and analyze large and complex data sets.
  • Collaborate with consultants, clinicians, analysts, product teams, data engineers, and other stakeholders to understand business problems, define requirements, and deliver actionable insights.
  • Document analytical methods, assumptions, data definitions, model logic, and results to support transparency, repeatability, and quality control.
  • Communicate analytical findings and recommendations through written summaries, presentations, dashboards, and stakeholder discussions.
  • Stay current with developments in healthcare analytics, data science, machine learning, artificial intelligence, and the pharmacy benefits management industry.

WHAT YOU'LL BRING:
Requirements
  • 2+ years of experience in data science, analytics, statistics, healthcare analytics, informatics, or a related analytical role preferred.
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science or a related quantitative discipline required; master's degree or relevant coursework preferred.
  • Experience working with healthcare data, pharmacy/PBM data, medical claims, financial data, or similarly complex data sets
  • Working knowledge of SQL for data extraction, querying, and data manipulation.
  • Proficiency with Python or R for data analysis, statistical modeling, machine learning, or automation.
  • Foundational understanding of statistics, predictive modeling, supervised and unsupervised learning, regression, classification, clustering, forecasting, and model evaluation techniques.
  • Experience preparing, cleaning, validating, and analyzing raw data with a high degree of accuracy and attention to detail.
  • Ability to translate business questions into analytical approaches and communicate results in a clear, concise, and practical manner.
  • Strong problem-solving skills, intellectual curiosity, resourcefulness, and ability to learn new tools, methods, and healthcare concepts quickly.
  • Strong written and verbal communication skills, with the ability to collaborate effectively with technical and non-technical stakeholders.
  • Demonstrated ability to work independently and as part of a cross-functional team while managing multiple priorities and deadlines.
  • Proficiency with Microsoft Excel, Word, Outlook, and PowerPoint. Advanced Excel skills a plus.
  • Ability for some travel, up to 10%.
Preferred Qualifications
  • Exposure to healthcare cost, utilization, clinical, pharmacy, PBM, or drug management analytics.
  • Experience with predictive modeling, time-series forecasting, claims analytics, anomaly detection, natural language processing, or AI-enabled reporting.
  • Familiarity with data privacy, data governance, HIPAA considerations, and secure handling of sensitive healthcare information.
  • Experience supporting dashboards, reporting automation, reusable analytical workflows, or model deployment processes.

COMPENSATION:
Exempt: The base salary range for this position is $110,000 - $140,000. This range represents the employer's good faith estimate of the compensation for this role at the time of posting.
Actual compensation will be determined based on factors such as experience, skills, training, certifications, education, internal equity, and market data. This role may also be eligible for bonuses and a comprehensive benefits package.
WHY EPIC:
EPIC has over 60 offices and 4,000 employees nationwide - and we're growing! It's a great time to join the team and be a part of this growth. We offer:
  • Generous Paid Time off
    • Managed PTO for salaried/exempt employees (personal time off without accruals or caps); 22 PTO days starting out for hourly/non-exempt employees; 12 company-observed paid holidays; 4 early-close days
  • Generous leave time options: Paid parental leave, pregnancy disability and bonding leave, and organ donor/bone marrow donor leave
  • Generous employee referral bonus program of $1,500 per hired referral
  • Employee recognition programs for demonstrating EPIC's values plus additional employee recognition awards and programs (and trips!)
  • Employee Resource Groups: Women's Coalition, EPIC Veterans Group
  • Professional growth & development: Mentorship Program, Tuition Reimbursement Program, Leadership Development
  • Unique benefits such as Pet Insurance, Identity Theft & Fraud Protection Coverage, Legal Planning, Family Planning, and Menopause & Midlife Support
  • Additional benefits include (but are not limited to): 401(k) matching, medical insurance, dental insurance, vision insurance, and wellness & employee assistance programs
  • 50/50 Work Culture: EPIC fosters a 50/50 culture between producers and the rest of the business, supporting collaboration, teamwork, and an inclusive work environment. It takes both production and service to be EPIC!
  • EPIC Gives Back - Some of our charitable efforts include Donation Connection, Employee Assistance Fund, and People First Foundation
  • We're in the top 10 of property/casualty agencies according to "Insurance Journal"

To learn more about EPIC, visit our Careers Page: https://www.epicbrokers.com/about/epic-careers/.
EPIC embraces diversity in all its various forms-whether it be diversity of thought, background, race, religion, gender, skills or experience. We are committed to fostering a work community where every colleague feels welcomed, valued, respected and heard. It is our belief that diversity drives innovation and that creating an environment where every employee feels included and empowered, helps us to deliver the best outcome to our clients.
California Applicants - View your privacy rights at: https://www.epicbrokers.com/wp-content/uploads/2025/01/epic-ca-employee-privacy-notice.pdf.
Massachusetts G.L.c. 149 section 19B (b) requires the following statement: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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