Intern, Data Science, Machine Learning, AI

Job not on LinkedIn

🔥 0 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $23 / hour

⏱ Part Time

⚪️ Entry-level

📊 Data Scientist

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American Heart Association

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1924

🤝 Non-profit

🏥 Healthcare

📚 Education

Non-profit • Healthcare • Education

American Heart Association is a national nonprofit organization dedicated to preventing and treating cardiovascular disease and stroke. It leads resuscitation science and education—publishing official CPR and ECC guidelines—and offers a wide range of training and certification courses (BLS, ACLS, PALS, Heartsaver, community and school kits) for healthcare professionals and the public. The organization also runs community programs, advocacy, and public health initiatives to improve heart and stroke outcomes and is a qualified 501(c)(3) tax-exempt organization.

📋 Description

• 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 quantitative and qualitative measures • Conduct validation, error analysis, robustness testing, and comparison of model or workflow alternatives • Assess 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

🎯 Requirements

• 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, such as AWS, Snowflake, Azure, or 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, and PowerPoint • Reliable WiFi connection • Minimum availability of 20 hours per week, Monday through Friday between 8:30am and 5pm • Must be legally authorized to work in the United States for any employer without sponsorship, now or in the future • For remote roles, work must be performed inside the United States, not in a foreign country

🏖️ Benefits

• Ongoing professional development and training • Access to Heart U, the Association’s online university • Employee Resource Groups (ERGs) • Professional mentoring program • Teladoc General Medical and Behavioral Health programs • Employee Assistance Program (EAP) at no cost • Work-life harmonization resources and support