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Internship Python Healthcare Jobs (NOW HIRING)

Dugong Global

Healthcare Data Analyst

New York, NY · On-site

Experience with analytical tools such as SQL, Excel, SAS, Power BI, Tableau, or Python is preferred ... Internship, capstone project, research assistantship, or academic project involving healthcare or ...

Conch Technologies Inc

Data Scientist

Orlando, FL · On-site

Data Scientist Duration: 6 month contract to hire (no sponsorship available) Must have SQL, Snowflake, python, Healthcare experience Highly preferred is the python framework Streamlit Key ...

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How much do internship python healthcare jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for internship python healthcare in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is an internship Python healthcare?

An Internship Python Healthcare position is a temporary role designed for students or recent graduates to gain hands-on experience working with Python programming in the healthcare industry. Interns in this position typically assist with developing software, analyzing healthcare data, and supporting digital health projects. The role provides an opportunity to learn about healthcare systems, work with real-world data, and contribute to projects that may improve patient outcomes or operational efficiency. This type of internship helps individuals build both their programming and healthcare domain skills, often under the mentorship of experienced professionals.

What are the key skills and qualifications needed to thrive as an internship Python healthcare professional?

To thrive in an Internship Python Healthcare role, you need a strong grasp of Python programming, basic understanding of healthcare data, and enrollment in or completion of a relevant STEM or healthcare degree. Familiarity with tools such as Jupyter Notebook, libraries like Pandas and NumPy, and exposure to electronic health record (EHR) systems or healthcare databases is often required. Strong analytical thinking, attention to detail, and effective communication skills help interns collaborate with both technical and clinical teams. These skills are crucial for developing healthcare solutions that are accurate, compliant, and meet the needs of patients and providers.

What is the difference between Internship Python Healthcare vs Python Developer Healthcare?

AspectInternship Python HealthcarePython Developer Healthcare
Required CredentialsEnrolled in or recent graduate of relevant programBachelor's or higher in Computer Science or related field
Work EnvironmentInternship setting, supervised, entry-levelFull-time, professional environment, project-based
Industry UsageTraining and skill development in healthcare techDeveloping healthcare applications, data analysis
Common Search IntentLearning and entry into healthcare tech rolesBuilding healthcare software solutions

Internship Python Healthcare typically involves entry-level training for students or recent graduates gaining experience in healthcare-related Python projects. In contrast, a Python Developer Healthcare is a full-time professional responsible for developing and maintaining healthcare software solutions. The internship focuses on learning and skill development, while the developer role emphasizes applying expertise to real-world projects.

What types of projects can I expect to work on during a Python internship in the healthcare industry?

As a Python intern in the healthcare field, you can expect to work on projects involving data analysis, automation of healthcare processes, and development of tools that assist in patient data management or medical research. You may help build scripts to clean and visualize large datasets, support the creation of machine learning models for predicting patient outcomes, or assist in integrating healthcare data with electronic health record (EHR) systems. Collaboration with data scientists, healthcare professionals, and IT teams is common, providing valuable exposure to multidisciplinary teamwork and real-world healthcare challenges.
More about Internship Python Healthcare jobs
What cities are hiring for Internship Python Healthcare jobs? Cities with the most Internship Python Healthcare job openings:
What are the most commonly searched types of Python Healthcare jobs? The most popular types of Python Healthcare jobs are:
What states have the most Internship Python Healthcare jobs? States with the most job openings for Internship Python Healthcare jobs include:
What job categories do people searching Internship Python Healthcare jobs look for? The top searched job categories for Internship Python Healthcare jobs are:
Internship Python Healthcare jobs near you
Infographic showing various Internship Python Healthcare job openings in the United States as of July 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Healthcare Data Analyst

Dugong Global

New York, NY • On-site

Full-time

Re-posted 2 days ago

Job description

We are looking for a Healthcare Data Analyst to gather and analyze healthcare data from multiple sources (e.g. insurance processing, clinical operations, patient behavior) to extract trends and business insights. To succeed in this role, you should be analytical and resourceful. You should also be an excellent communicator who's able to tell the story behind raw data to non-technical audiences. If you also have experience in the healthcare industry, we'd like to meet you. Your goal will be to help us operate profitably and streamline our processes to keep patients and employees satisfied.
Responsibilities
  • Understand health care operations and systems
  • Create and validate record-keeping processes
  • Pull and integrate data from disparate sources (e.g. cost and claims or clinical data)
  • Evaluate and preprocess raw information
  • Delve into data to discover discrepancies and patterns
  • Build models that capture a wide range of health care operations
  • Present and explain information in an accessible way (e.g budgeting reports)
  • Suggest ways to both increase healthcare quality and reduce costs (e.g. money spent in R&D)
  • Collaborate with management and internal teams to implement and evaluate improvements

Requirements
  • Qualifications
    • Master's degree (or Bachelor's degree with relevant experience) in Health Informatics, Data Analytics, Statistics, Computer Science, Public Health, Mathematics, or a related field.
    • Recent graduates and candidates with 0-2 years of experience are encouraged to apply.
    • Knowledge of healthcare data concepts, healthcare workflows, or Electronic Health Records (EHR) gained through coursework, internships, research, or projects.
    • Familiarity with data analysis, reporting, and data visualization techniques.
    • Basic understanding of SQL for querying and analyzing data.
    • Exposure to ETL (Extract, Transform, Load) concepts through academic or professional projects.
    • Familiarity with data warehousing concepts, including Enterprise Data Warehouse (EDW), is a plus.
    • Experience with analytical tools such as SQL, Excel, SAS, Power BI, Tableau, or Python is preferred.
    • Strong analytical, critical thinking, and problem-solving skills.
    • Excellent written and verbal communication skills.
    • Ability to work collaboratively in a fast-paced, team-oriented environment.
    • Strong attention to detail with good organizational and time management skills.
  • Preferred Qualifications
    • Internship, capstone project, research assistantship, or academic project involving healthcare or clinical data.
    • Exposure to healthcare standards such as HIPAA, ICD-10, HL7, or FHIR is a plus but not required.
    • Experience creating reports, dashboards, or visualizations using Power BI, Tableau, or similar tools.
    • Eagerness to learn and build a career in healthcare analytics.

Apply