[Hiring] Intern, Data Science @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 biostatistics, statistical programming, clinical research methods, and applied data analysis within cardiovascular, clinical, and population health research settings.

• The intern will collaborate with biostatisticians, data scientists, clinicians, and research partners to support rigorous study design, analysis, interpretation, and scientific communication.
• The role offers opportunities to contribute to real-world projects that advance evidence generation and data-driven decision-making.

Internship Overview:

• Time Commitment: 20-25 hours per week
• Internship Duration: 9/8/26-12/11/26
• Location: [Location]
• Salary: $23.00 per hour

Internship Outcomes:

• Gain important and practical job skills to be successful in a non-profit environment.
• Opportunity to explore a career-path with a reputable voluntary health/service organization.
• Complete an internship that enriches your academic and professional resume as well as enriching your personal life by making a difference in the lives of others.

Responsibilities

• Assist with preparing, cleaning, validating, and documenting clinical, registry, and research datasets.
• Conduct descriptive and inferential statistical analyses under the guidance of senior team members.
• Support study design, sample size and power considerations, statistical analysis plans, and interpretation of results.
• Develop and evaluate statistical models, which may include regression, survival analysis, longitudinal analysis, mixed-effects models, and other methods appropriate to the research question.
• Create reproducible analytical workflows using R, Python, SAS, or other approved statistical tools.
• Perform quality-control reviews of data, code, tables, figures, and analytical outputs.
• Produce clear tables, figures, data visualizations, and summaries for scientific and business audiences.
• Contribute to literature reviews, manuscripts, abstracts, conference materials, and presentations.
• Participate in team meetings, code reviews, documentation activities, and research best practices.

Qualifications

• Currently pursuing an MS or PhD degree in Biostatistics, Statistics, Epidemiology, Public Health, Data Science, or a related quantitative field.
• Foundational knowledge of statistical methods, research design, and interpretation of quantitative findings.
• Experience with statistical programming in R. Additional experience in Python or SAS is a plus.
• Experience in working with healthcare, clinical, cardiovascular, registry, or population health data.
• Strong analytical, problem-solving, organizational, and attention-to-detail skills.
• Commitment to reproducible research, data quality, and clear documentation.
• Ability to communicate effectively and collaborate with both technical and non-technical colleagues.
• Coursework or applied experience in regression modeling, survival analysis, longitudinal data analysis, causal inference, clinical trials, or observational research.
• Communicate project details to technical and non-technical audiences.
• Familiarity with AI/ML/LLM is preferred.
• Experience creating publication-ready tables and figures or contributing to scientific writing is preferred.
• Familiarity with version control, code review, or reproducible workflow practices are 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

• The job application window is expected to close: October 16, 2026.
• The American Heart Association invests in its people.
• Competitive compensation, ongoing professional development and training.
• Opportunity to participate in our Teladoc General Medical and Behavioral Health programs.
• Access to our Employee Assistance Program (EAP) at no cost.