Intern, Data Science, Machine Learning & AI-Remote

Since our founding in 1924 weve cut cardiovascular disease deaths in half but there is still so much more to do. To overcome todays biggest health challenges and accelerate this progress we need passionate individuals like you. Join our movement be part of the progress and help ensure a healthier future for all. You matter and so does the impact you can make with us.

The American Heart Associations Internship Program provides college students an opportunity for hands-on experience in various facets for individuals interested in gaining work experience with a non-profit voluntary health organization.

This internship supports the Data Science team and provides hands-on experience in machine learning and artificial intelligence with a primary focus on large language models (LLMs) generative AI and agentic AI. The intern will build foundational knowledge of how LLMs work and apply LLMs to modeling analytical workflows and research use cases. Working with data scientists and cross-functional partners the intern will help develop reproducible AI-enabled workflows and learn how to evaluate validate and document LLM-based solutions for clinical and biomedical research settings.

The Association offers many resources to help you maintain work-life harmonization through your changing needs and life situations. To help you be successful you will have access to Heart U our award-winning corporate university as well as training and support locally and through our National Center.

#TheAHALife is more than a company culture; it is our way of life. It embodies our commitment to work-life harmonization and is guided by our core values where our employees can thrive both personally and professionally. Discover why you will Be Seen. Be Heard. Be Valued at the American Heart Association by following us onLinkedInInstagramFacebookX and .

Internship Overview:

• Time Commitment: 20-25 hours per week
• Internship Duration: 1/25/27-5/7/27
• Location: Remote
• Salary: $23.00 per hour
  
  

Internship Outcomes:

Individuals participating in the internship program are provided with an opportunity to:

• Develop a practical understanding of foundational LLM and generative AI concepts including prompting embeddings retrieval-augmented generation tool use and agentic workflows.
• Gain hands-on experience applying LLMs to modeling workflow automation information extraction summarization and research-oriented use cases.
• Learn structured approaches for evaluating and validating LLM outputs workflows and applications.
• Strengthen skills in reproducible AI development documentation testing and responsible use of AI.
• Collaborate with multidisciplinary teams and communicate results to technical and non-technical audiences.
• Explore a career pathway within a leading nonprofit health organization while contributing to meaningful healthcare and research initiatives.

Tasks may include but are not limited to:

• Support the design and development of LLM-powered applications and agentic AI workflows for clinical biomedical and operational research use cases.
• Apply LLMs to modeling and analytical tasks including information extraction classification summarization question answering and workflow orchestration.
• Experiment with prompt design structured outputs retrieval-augmented generation embeddings vector search tool use and multi-step agent workflows.
• Prepare clean organize and document data used in LLM and generative AI experiments.
• Develop reproducible prototypes and workflows using Python and approved AI/ML tools and platforms.
• Design and perform evaluations of LLM systems using clearly defined criteria and appropriate quantitative and qualitative measures.
• Conduct validation error analysis robustness testing and comparison of model or workflow alternatives.
• Assess issues such as hallucination factual consistency relevance reliability bias privacy and reproducibility.
• Document methods assumptions prompts evaluation results limitations and recommended improvements.
• Contribute to technical documentation presentations abstracts manuscripts and cross-functional project discussions.
  

• Currently pursuing an MS or PhD degree in Computer Science Artificial Intelligence Biomedical Informatics Data Science Statistics Engineering Public Health or a related quantitative field
• Coursework or project experience with LLMs generative AI natural language processing retrieval-augmented generation or AI agents.
• Experience using APIs or open-source frameworks to build and test LLM applications.
• Programming experience in Python and familiarity with common data analysis or machine learning libraries.
• Ability to understand and apply core LLM concepts such as tokens context windows embeddings prompting retrieval and generation.
• Strong analytical problem-solving organizational and attention-to-detail skills.
• Commitment to reproducible research responsible AI practices data quality and clear documentation.
• Ability to communicate effectively and collaborate with both technical and non-technical colleagues.
• Experience working with cloud computing and/or high-performance computing environments (e.g. AWS Snowflake Azure GCP).
• Familiarity with model evaluation experimental design error analysis version control or reproducible workflow practices.
• Experience with healthcare clinical or biomedical datasets is preferred.
• Ability to work in a fast-paced dynamic environment managing multiple priorities involving multiple entities.
• Intermediate to excellent proficiency in Microsoft Word Excel Outlook PowerPoint.
• Required Equipment: Reliable WiFi Connection.
• Minimum availability of 20 hrs/wk M-F between the hours of 8:30am-5pm.
• Must be legally authorized to work in the United States for any employer without sponsorship now or in the future. For any roles working remotely the work must also be performed inside the United States not in a foreign country.

The job application window is expected to close: October 16 2026.

The American Heart Association invests in its people. Visit Rewards & Benefits to see more details.

• Compensation and Performance Attracting talented committed interns means offering competitive compensation ongoing professional development and training and an environment in which to work and grow. And we do.
• Professional Development You can join one of our many Employee Resource Groups (ERG) or be a mentor/mentee in our professional mentoring program. Heart U is the Associations national online university with more than 100000 resources designed to meet your needs and busy schedule.
  
  
• Healthcare Benefits You will have the opportunity to participate in our Teladoc General Medical and Behavioral Health programs. We also provide access to our Employee Assistance Program (EAP) at no cost as a confidential program designed to assist employees and family members with personal issues that affect their relationships at home or at work.

Apply Today:

So are you ready to intern for the largest voluntary health organization dedicated to fighting heart disease stroke and other cardiovascular diseases

The American Heart Associations 2028 Goal: Building on over 100 years of trusted leadership in cardiovascular and brain health by 2028 the Association will drive breakthroughs and implement proven solutions in science policy and care for healthier people and communities. The greatest discoveries in health must reach everyone where they are.

At American Heart Association American Stroke Association our mission is to be a relentless force for a world of longer healthier lives regardless of race ethnicity gender gender identity religion age language sexual orientation national origin and physical or cognitive abilities.

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In accordance with local and state laws where applicable qualified applicants with arrest or conviction records will be considered for employment.

EOE/Protected Veterans/Persons with Disabilities