Intern, Data Science, Machine Learning, AI
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Data science intern developing LLM and generative AI workflows for American Heart Association clinical and biomedical research. Building reproducible prototypes, evaluations, and documentation.
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 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
Similar Jobs
Senior Data Scientist – Real-Time Esports Predictions
Senior Data Scientist leading real-time prediction models for GRID’s esports data platform. Developing odds, betting-market logic, and production ML systems for CS2, Dota 2, and LoL.
Senior Machine Learning Data Scientist
Senior Machine Learning Data Scientist building foundation models from longitudinal wearable data at Ōura. Turning research advances into validated health insights and product experiences.
AI/ML Data Scientist
AI/ML Data Scientist supporting Leidos’ Coast Guard mission analytics, machine learning, and automation initiatives. Developing prototypes, evaluating models, preparing data, and supporting responsible AI delivery.
Staff Data Scientist – Growth & Expansion
Staff Data Scientist owning customer-growth measurement and expansion analytics at HighLevel, an AI-powered business operating system. Guiding Growth, GTM, Finance, and product investment through causal, segment-level insights.
Staff Data Scientist – Core Revenue Retention
Staff Data Scientist owning causal revenue-retention and add-on monetization analytics. Advising CPaaS, Customer Success, Finance, and product teams at HighLevel, an AI-powered business operating system.
Data Scientist II
Data Scientist II developing optimization, machine-learning, and automated workflow solutions. Improving PODS logistics capacity planning, routing, scheduling, and resource allocation.
Principal Data Scientist, AI Development and Governance
Principal Data Scientist governing responsible AI and generative AI at GDIT, a government technology services company. Building healthcare claims models to detect fraud, waste, and abuse.
Data Scientist
Data Scientist building Databricks pipelines, Power BI dashboards, and machine-learning solutions for Improvix Technologies’ secure government IT programs. Supporting Splunk migration and data-driven mission success.
Staff Data Scientist
Staff Data Scientist turning data into forecasts, experiments, and apps for Roofr’s roofing CRM. Partnering with leaders to improve growth, products, sales, and customer experience.
Head of Data Science
Head of Data Science building production ML and agentic systems for Paddle’s digital payments infrastructure. Leading automated decisioning, value measurement and the future data science team.
Data Scientist
Data Scientist leading predictive modeling and machine learning for Credible’s consumer finance marketplace. Building recommendation, classification, and automated financial product experiences.
Senior Data Scientist – Search & Recommendations
Senior Data Scientist analyzing e-commerce search, ranking, and recommendation performance at Accesa. Building metrics and evaluating experiments to improve AI-powered product discovery.
Senior Data Scientist
Senior Data Scientist developing embedding-based deep-learning models for Jampp’s mobile advertising technology. Deploying real-time prediction, bidding, and optimization systems at scale.
Staff Data Scientist
Staff Data Scientist building conversational AI voice and SMS agents for Angi’s home-services marketplace. Improving agent behavior, evaluation, experimentation, and predictive models.
Senior Data Scientist
Senior Data Scientist building conversational AI voice and SMS agents for Angi’s home-services marketplace. Improving agent quality, experimentation, predictive modeling, and Pro revenue outcomes.
Senior Data Scientist
Senior Data Scientist developing production ML, streaming analytics, and AI decision systems for Charger Logistics. Optimizing fleet operations through cloud platforms, forecasting, and predictive maintenance.
Data Scientist
Data Scientist building NLP and LLM models for Chattermill’s customer experience intelligence platform. Developing retrieval, fine-tuning, evaluation, and sentiment-analysis systems for major brands.
Senior Data Scientist
Senior Data Scientist developing healthcare AI/ML models and synthetic cohorts for Veterans Health Administration programs. Supporting citizen developers and federal healthcare modernization at Aptive.
Staff Data Scientist
Staff Data Scientist driving analytics across growth, product, AI, and partnerships. Helping Jerry.ai scale its AI-powered platform for managing cars, homes, and other physical assets.
Data Scientist – Team Lead
Data Scientist Team Lead designing machine learning, data pipelines, and automation solutions for True Zero Technologies’ cybersecurity operations. Leading technical implementation and advanced analytics for enterprise security data.