
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.
🔥 13 hours ago
🤠Texas – Remote
đź’µ $23 / hour
⏱ Part Time
⚪️ Entry-level
📊 Data Scientist
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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.
• Assist with preparing, cleaning, validating, and documenting clinical, registry, and research datasets • Conduct descriptive and inferential statistical analyses under senior team guidance • Support study design, sample size and power considerations, statistical analysis plans, and interpretation of results • Develop and evaluate statistical models, including regression, survival analysis, longitudinal analysis, and mixed-effects models • 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 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 • Collaborate with biostatisticians, data scientists, clinicians, and research partners to support study design, analysis, interpretation, and scientific communication
• 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 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 technical and non-technical colleagues • Coursework or applied experience in regression modeling, survival analysis, longitudinal data analysis, causal inference, clinical trials, or observational research • Ability to 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, and PowerPoint • Reliable WiFi connection • Minimum availability of 20 hours per week, Monday-Friday between 8:30am and 5:00pm • Must be legally authorized to work in the United States for any employer without sponsorship, now or in the future • For remote work, work must 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 is preferred
• Hands-on internship experience in a non-profit, voluntary health organization • Work-life harmonization resources • Access to Heart U corporate university • Training and local and National Center support • Professional development and training • Employee Resource Groups (ERGs) • Professional mentoring program • Access to Teladoc General Medical and Behavioral Health programs • Employee Assistance Program (EAP) at no cost for employees and family members • Opportunity to build academic and professional resume • Opportunity to explore a career path • Reliable WiFi connection provided as a required work resource
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🇺🇸 United States – Remote
⏱ Part Time
⚪️ Entry-level
📊 Data Scientist
🚫👨‍🎓 No degree required
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