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Internship Healthcare Data Scientist Jobs (NOW HIRING)

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 ...

InstantServe LLC

Data Scientist

Jackson, MS · On-site

Jackson, MS 39201 Duration: 12 Months (Onsite Role) The Medicaid Data Scientist will work with the client's data, business, and IT teams to develop advanced reports and conduct analysis of healthcare ...

Stanford Health Care

Data Scientist - AI/ML

Alto, TX

$79.21 - $104.97/hr

Day - 08 Hour (United States of America) This is a Stanford Health Care job. The Data Scientist will be part of a team building Stanford Health Care's (SHC) solutions incorporating Artificial ...

Socket.dev

Data Scientist - Healthcare

Orlando, FL · On-site

$83 - $124/hr

Data Scientist Location: Orlando, FL - hybrid - 3 days onsite Duration: 3-6+ month contract - potential to hire Must have: healthcare experience (Claims data highly preferred), SQL, Python, Machine ...

New

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

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

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 ...

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 ...

Latica

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 ...

UC Davis Health

Senior Data Scientist

Sacramento, CA · On-site

$116K - $241K/yr

Knowledge of healthcare workflows, processes, and clinical terminology. * Competency in agentic AI ... data scientists, and biostatisticians. These teams may also collaborate with industry partners on ...

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Internship Healthcare Data Scientist information

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

As of Aug 10, 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 (RWD)

Medeloop

Philadelphia, PA

Full-time

Posted 9 days ago

Job description

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-powered clinical research. This is a hands-on role that combines rigorous real-world evidence analysis with deep collaboration across product, AI, and customer teams.

Internally, you will partner closely with Medeloop's AI research and product teams to design and execute real-world evidence analyses, evaluate the performance of our clinical research agents, and apply your scientific expertise to improve how our platform reasons about healthcare data. Externally, you will serve as an embedded data scientist for our partner institutions, working directly with clinicians, researchers, and life sciences organizations to scope research questions, deliver high-quality evidence, drive adoption of the platform, and expand each customer's use of Medeloop over time. This is a highly technical role centered on analytical reasoning, statistical rigor, and scientific problem-solving. Your work will directly influence both the intelligence of our AI systems and the real-world impact they create for healthcare and life sciences organizations.

Role & Responsibilities

  • Build and execute real-world evidence analyses to answer complex healthcare and biopharma questions using large-scale claims and EHR data.
  • Write high-quality, scalable code (SQL and Python; R also welcome) to define cohorts, model patient journeys, and generate rigorous, reproducible research outputs.
  • Apply clinical and statistical judgment to evaluate treatment patterns, utilization, and outcomes in observational data, reasoning carefully about bias and limitations.
  • Work directly with Medeloop's AI research agents, reviewing and challenging their analytical outputs, and partner with AI and product teams to improve how agents translate research questions into high-quality analyses.
  • Partner with customer institutions: scope their research questions, deliver evidence, drive adoption, and help expand how each institution uses Medeloop.
  • Communicate analyses, assumptions, and limitations clearly to internal teams, scientific stakeholders, and customers, translating technical findings into plain-language insight.
  • Help shape the analytical foundations and evaluation frameworks behind the next generation of AI-driven clinical research tools.
Requirements
  • PhD, or a Master's degree minimum plus 5+ years of industry experience, in a quantitative-health field (biostatistics, epidemiology, clinical trials, public health, health informatics, or health economics). PhD preferred; strong industry experience can substitute for the doctorate.
  • Strong grounding in real-world data/evidence (RWD/RWE) methodology, with domain experience in biostatistics, epidemiology, clinical trials, or public health.
  • Proven ability to answer complex clinical or biopharma questions using SQL and Python, plus statistical software (R and/or SAS).
  • Experience with large healthcare datasets, such as claims or EHR data (clinical coding systems, ICD/CPT/RxNorm), assumed to come with an RWE background.
  • Track record of producing rigorous, research-grade analyses, reports, or publications; comfort working with messy, high-dimensional data.
  • AI/ML experience required, with clear evidence of hands-on use; comfortable reviewing code and reasoning about model outputs.
  • Strong communicator; customer-facing experience preferred (trainable for the right analytical candidate).
Nice to Have
  • Experience working directly with customers and in a sales capacity.
  • Industry background strongly preferred over consulting (industry candidates preferred over consultants).