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Internship Health Data Scientist Jobs (NOW HIRING)

Northeastern University

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

Data Scientist * Full Time * Onsite/Hybrid Preferred The Data Scientist is responsible for ... internship experience, or equivalent hands-on industry experience may be considered in lieu of ...

CVS Health

Data Scientist

Woonsocket, RI · On-site +1

$98K - $158K/yr

At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose ... internship or related occupation. Position also required six (6) months of experience involving ...

New

MessageControl

Data Scientist

Chicago, IL · On-site

Must have at least 3 years of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market. * Outstanding ...

MessageControl

Data Scientist

Chicago, IL · On-site

Must have at least 3 years of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market. * Outstanding ...

CVS Health

Data Scientist

Wellesley, MA · On-site +1

$114K - $173K/yr

At CVS Health ® , you'll be surrounded by passionate colleagues who care deeply, innovate with ... research project, internship, or thesis in each of the following: • \tMachine learning ...

CVS Health

Data Scientist

Wellesley, MA · On-site +1

$114K - $173K/yr

At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose ... internship, or thesis in each of the following:Machine learning, statistical analysis, and ...

New

CVS Health

Data Scientist

Woonsocket, RI · On-site +1

$98K - $158K/yr

At CVS Health ® , you'll be surrounded by passionate colleagues who care deeply, innovate with ... internship or related occupation. Position also required six (6) months of experience involving ...

PRGX Global, Inc

Data Scientist

Atlanta, GA · On-site

... interns on the team. • Other duties as assigned. Knowledge & Qualifications • Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science ...

AllSTEM Connections

Data Scientist

Orlando, FL · On-site

$107K/yr

Technical Leadership & Mentorship (10%) • Lead and manage a pipeline of talent, including interns, co-ops, and associate-level data scientists, providing coaching on model development methodologies ...

PRGX Global, Inc

Data Scientist

Atlanta, GA

... interns on the team. · Other duties as assigned. Knowledge & Qualifications · Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science ...

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All JobsInternship Health Data Scientist Jobs

Internship Health Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do internship health data scientist jobs pay per year?

As of Jun 23, 2026, the average yearly pay for internship health data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does an Internship Health Data Scientist do?

An Internship Health Data Scientist works under the supervision of experienced data scientists to analyze healthcare data, develop predictive models, and help identify trends that can improve patient outcomes or healthcare operations. They often clean and process large datasets, use statistical and machine learning techniques, and assist in visualizing data for reports or presentations. This role provides hands-on experience with healthcare analytics tools and introduces interns to real-world health data challenges, making it a valuable stepping stone for a career in health data science.

What is the difference between Internship Health Data Scientist vs Health Data Analyst?

AspectInternship Health Data ScientistHealth Data Analyst
Required CredentialsTypically pursuing or recent graduate in data science, statistics, or related fieldOften holds a degree in health informatics, statistics, or related field
Work EnvironmentInternship setting, often in healthcare organizations or research institutionsFull-time or part-time roles in healthcare providers, insurance companies, or research firms
Employer & Industry UsageUsed in healthcare research, hospitals, and public health projectsCommon in healthcare analytics, insurance, and hospital administration

The main difference is that an Internship Health Data Scientist is an entry-level, temporary position focused on learning and supporting data science projects, while a Health Data Analyst is a more established role involving ongoing data analysis and reporting in healthcare settings.

What types of projects do Health Data Science interns typically work on, and how do these contribute to real-world healthcare solutions?

Health Data Science interns often work on projects involving the analysis of electronic health records, patient outcome prediction, or health trend monitoring. These assignments usually require collaboration with cross-functional teams, such as clinicians, data engineers, and software developers. The work you do as an intern directly supports improvements in patient care, operational efficiency, or public health strategies, giving you valuable hands-on experience with real-world healthcare data and tools. You'll gain exposure to industry-standard analytics platforms and may also contribute to published research or organizational decision-making.

What are the key skills and qualifications needed to thrive as an Internship Health Data Scientist, and why are they important?

To thrive as an Internship Health Data Scientist, candidates generally need strong analytical skills, a foundational understanding of statistics, and coursework or experience in data science or public health. Familiarity with technical tools such as Python, R, SQL, and data visualization platforms like Tableau, as well as knowledge of healthcare data standards (e.g., HL7, ICD-10), is highly beneficial. Effective communication, teamwork, and a keen attention to detail help interns interpret and convey complex data insights in collaborative healthcare environments. These skills are crucial for ensuring accurate health data analysis that supports evidence-based decisions and improves patient outcomes.
What cities are hiring for Internship Health Data Scientist jobs? Cities with the most Internship Health Data Scientist job openings:
What are the most commonly searched types of Health Data Scientist jobs? The most popular types of Health Data Scientist jobs are:
What states have the most Internship Health Data Scientist jobs? States with the most job openings for Internship Health Data Scientist jobs include:
Internship Health Data Scientist jobs near you

Data Scientist

Northeastern University

Portland, ME • On-site

$87K - $123K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Job description

About the Opportunity
JOB SUMMARY
This is a full-time, one-year term appointment with the possibility of renewal. The position is in-person at Northeastern's Roux Institute in Portland, Maine.
The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University's Experiential AI Institute, will support the development and delivery of AI and data science solutions across diverse industries. The role is designed for early-career data scientists who will work under the guidance of senior data scientists, AI engineers, and faculty leads.
The Data Scientist will contribute to data analysis, feature engineering, model development, evaluation, and documentation, while progressively gaining exposure to production systems, client-facing work, and modern AI practices across Predictive AI and Generative AI use cases.
Education & Experience
  • Master's degree (required) or Ph.D. (optional) in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field.
  • 0-2 years of industry, research, or applied project experience in data science or machine learning.
  • Experience gained through internships, co-ops, academic research, or applied capstone projects is acceptable.
  • Industry experience is preferred.

Knowledge, Skills, and Abilities
Technical and Analytical Foundations
  • Solid understanding of statistical methods, regression, hypothesis testing, and basic experimental design.
  • Hands-on experience with classical machine learning methods such as linear/logistic regression, decision trees, and gradient boosting.
  • Familiarity with deep learning concepts and modern architectures (e.g., convolutional neural networks or transformers); deep specialization is not required.
  • Exposure to Generative AI concepts and large language models (LLMs) is a plus.
  • Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn).
  • Working knowledge of SQL and relational databases.
  • Familiarity with at least one ML or deep learning framework (e.g., PyTorch, TensorFlow, HuggingFace).
Model Development and Delivery Support
  • Perform data cleaning, exploratory data analysis (EDA), and feature engineering.
  • Train, evaluate, and compare machine learning models under supervision.
  • Assist with model validation, performance monitoring, and documentation.
  • Contribute to ML pipelines and collaborate with ML engineers on deployment-related tasks.
Collaboration and Communication
  • Ability to clearly communicate analytical findings to technical and non-technical audiences with guidance.
  • Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts.
  • Willingness to participate in client meetings in a supporting role.
Preferred Experience
  • Exposure to NLP, computer vision, or speech processing through coursework or academic/industry projects.
  • Familiarity with cloud platforms (AWS, Azure, or GCP).
  • Understanding of software development best practices such as version control (Git) and Agile workflows.

Values & Professional Attributes
Ethical and Responsible AI
  • Awareness of ethical AI principles including fairness, transparency, and responsible model use.
  • Willingness to follow established governance, documentation, and review practices.
Learning and Growth Mindset
  • Strong curiosity and motivation to learn new tools, techniques, and AI methods.
  • Openness to feedback and mentorship.
Execution and Ownership
  • Ability to manage assigned tasks, meet deadlines, and maintain high-quality work.
  • Proactive attitude and willingness to take increasing responsibility over time.

Position Type
Research
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Compensation Grade/Pay Type:
111S
Expected Hiring Range:
$87,785.00 - $123,998.75
With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

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