ZipRecruiter

Log In

1

Internship 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

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 ...

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 ...

Pwc

Payer Healthcare Data Scientist, Manager

Pittsburgh, PA · 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

Baltimore, MD · 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

Cincinnati, OH · 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

Toledo, OH · 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

Miami, FL · 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 ...

next page

Showing results 1-20

All JobsHealthcare Data Scientist JobsInternship Healthcare Data Scientist Jobs

Internship Healthcare Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do internship healthcare data scientist jobs pay per year?

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

To thrive as an Internship Healthcare Data Scientist, you generally need a solid background in statistics, data analysis, and programming, often supported by coursework or a degree in data science, computer science, or a related field. Familiarity with tools such as Python, R, SQL, and healthcare data systems like EHRs, as well as knowledge of HIPAA compliance, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret complex data and collaborate with multidisciplinary teams. These skills are crucial for extracting actionable insights from healthcare data and supporting data-driven decision-making in clinical and operational settings.

What types of projects do healthcare data scientist interns typically work on, and how do these projects contribute to the organization?

Healthcare Data Scientist interns are often involved in projects such as analyzing patient outcome data, developing predictive models for disease risk, or optimizing hospital operations using large healthcare datasets. These projects provide interns with hands-on experience in applying statistical and machine learning techniques to real-world healthcare challenges. By contributing to these initiatives, interns help organizations make more data-driven decisions that can improve patient care and operational efficiency. Collaboration is common, as interns regularly work with clinicians, IT professionals, and senior data scientists to ensure their work aligns with organizational goals.

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

AspectInternship Healthcare Data ScientistHealthcare Data Scientist
Required CredentialsEnrolled in or recent graduate of relevant degree programs (e.g., data science, health informatics)Bachelor's or master's in data science, health informatics, or related fields; certifications are a plus
Work EnvironmentInternship programs, often in hospitals, research centers, or healthcare companiesFull-time roles in healthcare organizations, research institutions, or tech companies
Employer & Industry UsageHospitals, clinics, healthcare startups, research institutionsHealthcare providers, biotech firms, health tech companies

The main difference is that an Internship Healthcare Data Scientist is an entry-level, temporary position aimed at gaining experience, while a Healthcare Data Scientist is a full-time professional role with more responsibilities and expertise. Internships serve as a stepping stone toward a full career in healthcare data science.

What does an internship healthcare data scientist do?

An Internship Healthcare Data Scientist assists in analyzing healthcare data to uncover trends, improve patient outcomes, and enhance healthcare processes. Interns typically work with large datasets, use statistical and machine learning techniques, and help create visualizations and reports for stakeholders. They collaborate with healthcare professionals and data teams, gaining hands-on experience in applying data science to real-world medical challenges. This role helps interns develop technical skills and a deeper understanding of healthcare systems.
What cities are hiring for Internship Healthcare Data Scientist jobs? Cities with the most Internship 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:
What states have the most Internship Healthcare Data Scientist jobs? States with the most job openings for Internship Healthcare Data Scientist jobs include:
Internship Healthcare Data Scientist jobs near you

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.
#LI-AT1
#LI-Remote
(3857)

Apply