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Internship Healthcare Data Science Jobs (NOW HIRING)

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

We leverage our large, integrated healthcare data repository and our analytic expertise to build customized, agile data solutions which answer the questions our clients -- life science manufacturers ...

New

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

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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 May 29, 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 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.

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 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 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.

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 May 2026, with employment types broken down into 83% Full Time, 13% Part Time, and 4% Contract. Highlights an 32% Physical, 24% Hybrid, and 44% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Full-time

Posted 20 days ago


Job description

Description
Job Summary
Responsible for leveraging advanced analytics, machine learning and statistical methodologies to extract meaningful insights from healthcare and operational data at Nicklaus Children's Health System. Areas of focus include analysis of electronic health records (EHR), genomic and precision medicine initiatives, financials and enterprise resource planning (ERP) data. Collaborates with researchers, clinical and operational teams within the health system. Works to ensure all data analysis activities are performed in accordance with applicable federal regulations, HIPAA requirements, and health system policies and procedures.
Job Specific Duties
  • Applies machine learning, natural language processing, and AI techniques to analyze structured and unstructured healthcare data, including clinical, genomics, and operational datasets.
  • Develops predictive models integrating multi-omics data (genomics, proteomics), biomarkers, and clinical outcomes to support precision medicine and personalized care pathways.
  • Builds scalable data pipelines and connects complex healthcare data using graph database technologies (e.g., property graphs) to uncover hidden relationships across patients, treatments, and outcomes.
  • Collaborates with data engineering and IT teams to operationalize models for real-time decision support, risk stratification, and resource optimization across clinical and business operations.
  • Develops and validates predictive models to support clinical decision support, risk stratification, and outcome prediction for pediatric patient populations.
  • Ensures all analytical activities comply with healthcare regulations, institutional policies, and research ethics requirements, including proper handling of protected health information.
  • Partners with clinicians, researchers, and administrators to understand analytical needs, translate requirements into technical solutions, and communicate effectively.
  • Maintains comprehensive documentation of analytical methods, validate analytical approaches, and ensure reproducibility of research findings.
  • Provides technical expertise and training team members on data analysis techniques and healthcare analytics best practices.

Qualifications
Minimum Job Requirements
  • Bachelor's degree in data science, Statistics, Computer Science, Mathematics, Biostatistics, Bioinformatics, or related quantitative field. (Required)
  • 3-5 years years of experience in data science with demonstrated experience in healthcare or life sciences environments.
  • Experience working with healthcare data, including electronic health records (EHR), clinical databases and/or ERP data.
  • Proven track record of applying statistical analysis and machine learning techniques to real-world healthcare and healthcare operational problems.

Knowledge, Skills, and Abilities
  • Master's degree in related quantitative fields is preferred.
  • Proficiency in programming languages such as Python, R, and SQL for data analysis and modeling is required.
  • Strong knowledge of statistical modeling, machine learning, and data visualization techniques.
  • Familiarity with LLMs and foundation models for natural language processing and clinical data analytics.
  • Familiarity with graph data platforms (e.g., Neo4j, Amazon Neptune) and vector databases (e.g., Pinecone). Experience with precision medicine initiatives, genomics data, or personalized healthcare analytics.
  • Experience with distributed computing, big data frameworks, and cloud platforms (e.g., Azure, AWS, GCP).
  • Familiarity with healthcare information systems and EHR platforms.
  • Experience with data integration from multiple healthcare sources.
  • Understanding of healthcare regulations including HIPAA, FDA guidelines, and clinical research compliance requirements.
  • Familiarity with medical coding systems (ICD-10, CPT, SNOMED).
  • Excellent written and verbal communication skills with ability to present complex analytical findings clearly to technical and non-technical audience.
  • Ability to work effectively in interdisciplinary teams with clinicians, researchers, and IT professionals.
  • Skilled at translating business requirements into technical solutions.
  • Strong attention to detail and commitment to data accuracy and integrity.
  • Ability to manage multiple projects simultaneously and meet deadlines.
  • Ability to work independently while collaborating effectively with team members.