[Hiring] Intern, Data Science, Machine Learning & AI @American Heart Association

Role Description

The American Heart Association’s 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.
• Apply LLMs to modeling, analytical workflows, and research use cases.
• Help develop reproducible AI-enabled workflows.
• Learn how to evaluate, validate, and document LLM-based solutions for clinical and biomedical research settings.

Time Commitment: 20-25 hours per week

Internship Duration: 1/25/27-5/7/27

Location: Remote

Salary: $23.00 per hour

Internship Outcomes

• 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.

Responsibilities

• 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.

Qualifications

• 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.

Compensation & Benefits

• Competitive compensation.
• Ongoing professional development and training.
• Opportunity to participate in Teladoc General Medical and Behavioral Health programs.
• Access to Employee Assistance Program (EAP) at no cost.

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 Association’s 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.

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.