Intern, Data Science, Machine Learning & AI-Remote

Summary

The American Heart Association is a nonprofit health organization dedicated to improving cardiovascular and brain health. This part-time intern will support the Data Science team by developing and evaluating LLM-powered applications, generative AI solutions, and agentic workflows for clinical, biomedical, and operational research use cases, while documenting results and collaborating with technical and non-technical teams.

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

Skills

• **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, Google Cloud Platform)
• Familiarity with model evaluation, experimental design, error analysis, version control, or reproducible workflow practices
• 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.**
• Experience with healthcare, clinical, or biomedical datasets is preferred

Qualifications

Must Haves

• **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, Google Cloud Platform)
• Familiarity with model evaluation, experimental design, error analysis, version control, or reproducible workflow practices
• 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.**

Nice to Haves

• Experience with healthcare, clinical, or biomedical datasets is preferred

Benefits

• Ongoing professional development and training
• You can join one of our many Employee Resource Groups (ERG)
• Be a mentor/mentee in our professional mentoring program
• Heart U, the Association's national online university, with more than 100,000 resources designed to meet your needs and busy schedule
• Opportunity to participate in Teladoc General Medical and Behavioral Health programs
• 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