Intern, Data Science, Biostatistics-Remote

Summary

The American Heart Association is a voluntary health organization dedicated to advancing cardiovascular and population health. This internship supports the Data Science team by providing hands-on experience in biostatistics, statistical programming, clinical research methods, and applied data analysis, while contributing to study design, analysis, interpretation, and scientific communication.

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

Skills

• * **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.**
• * **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
• * 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.**
• Additional experience in Python or SAS is a plus
• * 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

Qualifications

Must Haves

• * **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.**
• * **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
• * 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

• Additional experience in Python or SAS is a plus
• * 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

Benefits

• Access to Heart U, the award-winning corporate university
• Training and support locally and through the National Center
• Ongoing professional development and training
• Opportunity to join an Employee Resource Group (ERG)
• Opportunity to participate as a mentor or mentee in the professional mentoring program
• Heart U online university with more than 100,000 resources
• Opportunity to participate in Teladoc General Medical and Behavioral Health programs
• Access to the Employee Assistance Program (EAP) at no cost for employees and family members