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Internship Healthcare Data Science Jobs (NOW HIRING)

Prohires

Healthcare Data Analyst

Tallahassee, FL · On-site

Required Qualifications: a) Bachelor's or master's degree in data science, Statistics, Computer ... Preferred Qualifications a) Experience working with state or federal healthcare programs. b ...

New

Waymark

OR

Working experience with healthcare data standards and exchange formats - FHIR, HL7v2, and C-CDA. * Education: Master's degree in Data Science, Biostatistics, Health Informatics, Computer Science, or ...

Blue Ridge Care

Healthcare Data Analyst

Winchester, VA · On-site +1

Healthcare Data Analyst - Join the Blue Ridge Care Team! Blue Ridge Care works to optimize the quality of life and well-being for those members of our community affected by aging or dealing with ...

Astiva Health

Healthcare Data Analyst

Orange, CA

$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 ...

Latica

Senior Healthcare Data Analyst

Palo Alto, CA · On-site

$101K - $127K/yr

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 fun to hang out with. We invest in our ...

Knit Health

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 ...

Marencor

AI/ML Data Scientist

New York, NY · On-site

Track experiments using MLflow, Weights & Biases Required Qualifications: * 3-5 years in applied data science or machine learning * Experience with Snowflake SQL , Python ML ecosystem, healthcare ...

Knit Health

Data Engineer II

San Francisco, CA · On-site

$134K - $162K/yr

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

Latica AI

Clinical Data Scientist (Remote)

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 10, 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
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What are the most commonly searched types of Healthcare Data Science jobs? The most popular types of Healthcare Data Science jobs are:
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Internship Healthcare Data Science jobs near you

Healthcare Data Analyst

Prohires

Tallahassee, FL • On-site

Other

Posted yesterday

Job description

Subject: Data Analyst with Medicaid or Claims

Location: Tallahassee (On-Site)

Scope of Work/Job Characteristics

1) Analyze Medicaid claims, eligibility, provider, and encounter data to identify trends, anomalies, and opportunities for improvement.

2) Support program evaluation, policy analysis, and operational decision-making through data insights.

3) Design and maintain dashboards and reports using tools like Power BI or Tableau. Present findings to stakeholders in a clear, actionable format.

4) Work with internal teams, external partners, and leadership to define data needs and deliver solutions. Present findings to stakeholders in a clear, actionable format.

5) Ensure all work aligns with Agency’s regulations, including HIPAA and state data governance standards. Document methodologies, data sources, and assumptions for transparency and reproducibility.

6) Support special projects, audits, and federal reporting initiatives as needed.

7) Assist in the development of technical documentation for recurring reports, data pipelines, and reporting logic to ensure consistency and knowledge transfer.

8) Develop and validate data extracts for federal and state reporting requirements, including CMS submissions and performance metrics.

9) Apply machine learning methods where appropriate to improve forecasting and risk stratification models.

10) Perform other duties as required.

Required Qualifications:

a) Bachelor’s or master’s degree in data science, Statistics, Computer Science, or a related field.

b) Five (5) or more years of experience in data analysis, preferably in healthcare or Medicaid.

c) Strong proficiency in SQL/SAS, with working knowledge of Python for data manipulation, analysis, and automation tasks.

d) Three (3) years of experience with data visualization tools such as Power BI, Tableau, or similar platforms for building dashboards and reports.

e) Strong understanding of healthcare data, especially Medicaid or claims-based data.

f) Excellent communication skills and ability to present complex data to non- technical audiences.

Preferred Qualifications

a) Experience working with state or federal healthcare programs.

b) Knowledge of Medicaid managed care, long-term services and support s(LTSS), or waiver programs.

c) Familiarity with cloud-based data platforms (e.g., Azure, AWS).

d) Experience with machine learning or advanced statistical modeling.

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