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Internship Healthcare Data Science Jobs (NOW HIRING)

Stay current on the latest advancements in healthcare data science and machine learning. Qualifications: Minimum 5 years of experience in data science or a related field. Less ok too, if they have a ...

Data Science Fellow

Chicago, IL · On-site

$51K - $87K/yr

You will be responsible for data science projects across the healthcare domains of clinical & operations, supply chain, pharmacy, and healthcare strategy.You will work with executive mentor(s) and ...

New

Bachelor's degree in Data Analytics, Health Informatics, Statistics, Computer Science, or related field. * 2-5+ years of healthcare data analytics experience. * Knowledge of Medicare Advantage ...

Healthcare Data Analyst

Orange, CA · On-site

$85K - $115K/yr

Bachelor's degree in Data Analytics, Health Informatics, Statistics, Computer Science, or related field. * 2-5+ years of healthcare data analytics experience. * Knowledge of Medicare Advantage ...

5+ SAS & SQL programming, 3+ years data science in healthcare SAS EG, SAS Studio, SQL Developer, Office 365 Microsoft Visio, Tableau, Power BI, JIRA, Epic Systems including Clarity database, Healt ...

Data Engineer II

San Francisco, CA · On-site

$110K - $135K/yr

Navigate the complex and often ambiguous landscape of healthcare data, bringing clarity ... A combination of internships, research, and substantial project experience that clearly ...

Sr. Healthcare Data Analyst - Epic

Dallas, TX · On-site +1

$85K - $107K/yr

Bachelor's degree, preferably in healthcare analytics, computer science, data science, information technology, computer engineering, or other computational quantitative field required. * Master ...

Contributes, in partnership with Data Science to develop predictive cost savings models (or other ... Knowledge of the health care system and experience working with physician or hospital claims/group ...

New

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 ...

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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 Jul 30, 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 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.

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 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 are the key skills and qualifications needed to thrive as an Internship Healthcare Data Science, and why are they important?

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.
More about Internship Healthcare Data Science jobs
What cities are hiring for Internship Healthcare Data Science jobs? Cities with the most Internship 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 Internship Healthcare Data Science jobs? States with the most job openings for Internship Healthcare Data Science jobs include:
Infographic showing various Internship Healthcare Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Full-time

Re-posted 3 days ago


Job description

Statistics: Advanced statistical techniques (regression, distributions, tests) and experience with applications.
Data Architecture: Experience working with and creating data architectures.
Databases: Experience querying databases (MySQL, Redshift, etc.)
Data Processing: Experience with distributed data computing tools (MapReduce, Hadoop, Spark).
Data Visualization: Experience with data visualization tools (Periscope, D3, ggplot).They use Periscope
Web Services: Experience with web services (Redshift, S3, Spark, DigitalOcean).
Third-Party Data: Experience analyzing data from third-party providers (Client Analytics, Client Insights, etc.).
Responsibilities:
Design and develop machine learning models to analyze complex healthcare and clinical data.
Partner with clinicians and researchers to identify key challenges and translate them into data-driven solutions.
Clean, transform, and integrate healthcare data from various sources to ensure accuracy and usability.
Develop and implement statistical analyses to uncover trends and patterns in healthcare data.
Communicate complex findings through clear and concise data visualizations.
Stay current on the latest advancements in healthcare data science and machine learning.
Qualifications:
Minimum 5 years of experience in data science or a related field. Less ok too, if they have a PHd and some exp.
Strong understanding of machine learning algorithms (clustering, decision trees, neural networks) and their application in healthcare.
Proven experience in analyzing and interpreting large-scale healthcare and clinical datasets.
Proficiency in statistical methods (regression analysis, hypothesis testing) and experience in applying them to healthcare data.
Excellent programming skills in Python, R, and SQL, Spark.
Experience with data visualization tools (e.g., Tableau, Power BI).
Familiarity with healthcare data standards (HIPAA, HL7) is a plus.
Strong communication and collaboration skills to effectively partner with clinicians and researchers. Must
A passion for improving healthcare through data-driven insights.