Intern, Data Science-Remote

American Heart Association • Dallas, TX

1d • Remote

About The Position

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 data science, data engineering, and statistical modeling within clinical and biomedical research settings. Interns will contribute to key initiatives, including the development of agentic workflows and the exploration of advanced analytical and engineering methods. The role offers opportunities to collaborate closely with cross-functional teams and to contribute to impactful, real-world projects that drive research innovation and data-driven decision-making. 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 on LinkedIn, Instagram, Facebook, X, and at heart.jobs.

Requirements

• Currently pursuing an MS or PhD degree in Data Science, Computer Science, Biomedical Informatics, Statistics, Engineering, Public Health, or a related quantitative field.
• Demonstrated ability to research health topics and translate findings into actionable guidance.
• Prior research or industry experience in biomedical informatics, clinical research, epidemiology, healthcare analytics, or related domains.
• Demonstrated proficiency in Python, R, and SQL, with experience developing reproducible data processing pipelines and analytical workflows for large-scale datasets.
• Demonstrated experience developing, deploying, and evaluating ML and AI solutions, including large language models (LLMs), AI agents, and agentic workflows for data engineering, analytics, and scientific research applications.
• Proficiency with software engineering best practices, including Git-based version control, code review, testing, documentation, and Agile project management tools.
• Experience working with cloud computing and/or high-performance computing environments (e.g., AWS, Snowflake, Azure, GCP).
• Excellent communication, scientific reasoning, and critical thinking skills, with the ability to collaborate effectively in multidisciplinary research teams.
• 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.
• 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 interoperability standards (FHIR, HL7), EHR systems (Epic), and/or clinical imaging data (CT scan, MRI, ECG) preferred.
• Experience creating interactive data visualizations and dashboards using tools such as Tableau, Power BI, Shiny, Streamlit preferred.
• Prior authorship or co-authorship of peer-reviewed publications preferred.

Responsibilities

• Retrieve, integrate, and analyze large-scale healthcare datasets, including electronic health records (EHRs) and clinical registries, to support clinical and population health research.
• Develop and maintain data processing, governance, and quality assurance pipelines to ensure reliable and compliant data workflows.
• Design and evaluate AI/ML solutions, including agentic workflows and foundation models, using cloud platforms such as Snowflake and AWS.
• Collaborate with cross-functional teams to translate analytical findings into actionable insights and support data-driven decision-making.
• Contribute to code reviews, technical documentation, and the development of abstracts, manuscripts, and other scientific communications.

Benefits

• Access to Heart U, our award-winning corporate university
• Training and support locally and through our National Center
• Opportunity to participate in our Teladoc General Medical and Behavioral Health programs
• Access to our Employee Assistance Program (EAP) at no cost

What This Job Offers

• Job Type: Part-time
• Career Level: Intern