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Internship Healthcare Data Science Jobs (NOW HIRING)

EPIC Brokers

Healthcare Data Scientist

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 ...

Medeloop

Healthcare Data Scientist (RWD)

Boston, MA · On-site

We are seeking a Healthcare Data Scientist (Real-World Evidence) to answer complex healthcare and biopharma questions using large-scale real-world data and help shape the next generation of AI ...

Cherokee Federal

Healthcare Data Scientist

Washington, DC · On-site

$120 - $150/hr

Data Scientist - ATA, LLC ATA is seeking a Data Scientist to support data pipeline development ... The position will work extensively with healthcare data originating from EHR systems and interface ...

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 ...

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

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 ...

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 ...

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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Internship Healthcare Data Science information

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How much do internship healthcare data science jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for internship healthcare data science in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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 is a field that applies data analysis, machine learning, and statistical methods to improve patient outcomes, optimize operations, and support clinical decision-making. Data scientists in healthcare often work with electronic health records, medical imaging, and health-related datasets using tools like Python, R, and SQL. This role requires understanding healthcare regulations and data privacy standards 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.
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What are the most commonly searched types of Healthcare Data Science jobs?

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Internship Healthcare Data Science jobs near you
Infographic showing various Internship Healthcare Data Science job openings in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Healthcare Data Scientist

EPIC Brokers

Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 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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