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Internship Healthcare Data Science Jobs (NOW HIRING)

DeepIntent

Director, Data Science

New York, NY · On-site

$200K - $250K/yr

DeepIntent is leading the healthcare advertising industry with data-driven solutions built for the ... The Director, Data Science will help shape and execute data science initiatives that drive ...

Apex Informatics

Data Scientist

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 ...

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 ...

Src

Sr. Healthcare Data Analyst

Dallas, TX · On-site +1

$85.10K - $107.30K/yr

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

WVU Medicine

Associate Data Scientist

Morgantown, WV · On-site

$60.70K - $61.20K/yr

Stay current with advancements in data science, statistical methods, and analytical tools relevant to healthcare operations. 12. Must pass Electronic medical record system Proficiency or ...

Astiva Health

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 ...

BranchLab

Senior Data Scientist

Boulder, CO · On-site

$130K - $180K/yr

BranchLab is a healthcare AI company focused on predicting health outcomes to improving how ... • PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Epidemiology, or ...

Latica AI

Senior Healthcare Data Analyst

Palo Alto, CA · On-site

$101.10K - $127.50K/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 ...

Latica

Senior Healthcare Data Analyst

Palo Alto, CA

$101.10K - $127.50K/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 ...

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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:
What job categories do people searching Internship Healthcare Data Science jobs look for? The top searched job categories for Internship Healthcare Data Science jobs are:
Internship Healthcare Data Science jobs near you
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.
CW Healthcare Data Science Intern

CW Healthcare Data Science Intern

Blue Cross and Blue Shield of Louisiana

Baton Rouge, LA • On-site

Part-time

Posted 6 days ago

Blue Cross Blue Shield of Louisiana rating

8.6

Company rating: 8.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

73rd of 259 rated insurance

Job description

We take great strides to ensure our employees have the resources to live well, be healthy, continue learning, develop skills, grow professionally and serve our local communities. We invite you to apply for a career with Blue Cross.
Residency in or relocation to Louisiana is preferred for all positions.
What This Team Does
The Healthcare Analytics & Data Science team develops data-driven solutions that strengthen how healthcare is delivered, valued, and understood. Using machine learning, statistical modeling, and generative AI, the team analyzes data, finds key correlations, and recommends strategies to improve patient outcomes, provider performance, risk-adjusted revenue, and organizational initiatives that support cost-effective care.
This team partners closely with business units and IT to deliver predictive models, prescriptive insights, and innovative AI based tools that improve decision-making and operational efficiency across the enterprise.
As a Healthcare Data Science Intern, you'll support data exploration, model development, analytic problem-solving, and the creation of AI/ML solutions that advance organizational performance and member outcomes.
What You'll Be Doing
  • Assist in developing statistical, predictive, and machine learning models related to patient utilization, outcomes, and provider performance.
  • Contribute to generative AI initiatives that enhance internal processes, automate insights, or improve user engagement.
  • Work with large datasets to perform data wrangling, feature engineering, and exploratory data analysis.
  • Partner with business stakeholders to translate analytical findings into actionable insights.
  • Collaborate with IT teams to support model deployment efforts and analytic tool development.
  • Document modeling methods, results, and assumptions in a clear and professional manner.
  • Contribute to projects focused on medical cost optimization, risk adjustment, and engagement analytics.

Who We're Looking For
Education
Currently pursuing one of the following:
  • Data Science, Computer Science, Statistics, Mathematics, Economics, Analytics, or other quantitative/health care related field.
  • Senior undergraduate, recent graduate, or graduate student
  • Coursework in machine learning, statistics, data analysis, or programming is preferred

GPA
  • Preferred: 3.5+
  • Minimum: 3.0 cumulative GPA

Skills & Experience
Minimum Qualifications
  • Working knowledge of Python for data analysis (e.g., pandas, NumPy) and comfort working in notebook-based environments (such as Databricks or Jupyter notebooks).
  • Foundational SQL skills for querying, joining, and transforming data.
  • Understanding of core statistics and data science concepts (e.g., descriptive statistics, regression or classification, model evaluation fundamentals).
  • Introductory experience with machine learning concepts and Python-based ML libraries (e.g., scikit-learn), through coursework, projects, or internships.
  • Experience using Microsoft Excel and PowerPoint to analyze data and communicate results.
  • Strong analytical thinking skills with the ability to interpret data, solve problems, and clearly summarize findings for non-technical audiences.
  • Effective written and verbal communication skills and ability to work collaboratively on a team.

Preferred Qualifications
  • Exposure to Databricks platform and scalable data processing concepts (e.g., PySpark, Delta tables).
  • Familiarity with BI and data visualization tools, especially Power BI or Tableau, including dashboard design best practices.
  • Additional experience with advanced ML or AI frameworks (e.g., PyTorch, TensorFlow) or LLM/GenAI tooling (e.g., LangChain, OpenAI APIs) through projects or experimentation.
  • Awareness of modern data platforms or lakehouse architectures (e.g., curated vs. raw data, reproducible analytics).
  • Interest in learning how analytics connects to internal tools or lightweight applications, with optional exposure to APIs, VS Code, or basic front-end concepts over time.

What Will Help You Succeed
  • Curiosity and a proactive approach to learning new tools and technologies
  • Strong attention to detail and organization
  • Comfort working with large datasets and complex technical concepts
  • Ability to collaborate with cross functional teams, including business and IT functional teams
  • Interest in healthcare analytics, machine learning, and AI driven problem-solving

Location Requirement
Remote - must be in an approved work from home state (see career site)
Time Commitment
20 hours per week
#LI-DNI
An Equal Opportunity Employer
All BCBSLA EMPLOYEES please apply through Workday Careers.
PLEASE USE A WEB BROWSER OTHER THAN INTERNET EXPLORER IF YOU ENCOUNTER ISSUES (CHROME, FIREFOX, SAFARI)
Additional Information
Please be sure to monitor your email frequently for communications you may receive during the recruiting process. Due to the high volume of applications we receive, only those most qualified will be contacted. To monitor the status of your application, please visit the "My Applications" section in the Candidate Home section of your Workday account.
If you are an individual with a disability and require a reasonable accommodation to complete an application, please contact recruiting@bcbsla.com for assistance.
In support of our mission to improve the health and lives of Louisianians, Blue Cross encourages the good health of its employees and visitors. We want to ensure that our employees have a work environment that will optimize personal health and well-being. Due to the acknowledged hazards from exposure to environmental tobacco smoke, and in order to promote good health, our company properties are smoke and tobacco free.
Blue Cross and Blue Shield of Louisiana performs background and pre-employment drug screening after an offer has been extended and prior to hire for all positions. As part of this process records may be verified and information checked with agencies including but not limited to the Social Security Administration, criminal courts, federal, state, and county repositories of criminal records, Department of Motor Vehicles and credit bureaus. Pursuant with sec 1033 of the Violent Crime Control and Law Enforcement Act of 1994, individuals who have been convicted of a felony crime involving dishonesty or breach of trust are prohibited from working in the insurance industry unless they obtain written consent from their state insurance commissioner.
Additionally, Blue Cross and Blue Shield of Louisiana is a Drug Free Workplace. A pre-employment drug screen will be required and any offer is contingent upon satisfactory drug testing results.

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