
Intern, Data Science, Biostatistics
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in Texas.
• Assist in the preparation, cleaning, validation, and documentation of clinical, registry, and research datasets.
• Execute descriptive and inferential statistical analyses under the guidance of senior team members.
• Aid in study design, sample size and power calculations, statistical analysis plans, and result interpretation.
• Develop and assess statistical models, such as regression, survival analysis, longitudinal analysis, and mixed-effects models.
• Create reproducible analytical workflows utilizing R, Python, SAS, or other approved statistical tools.
• Conduct quality-control reviews on data, code, tables, figures, and analytical outputs.
• Generate tables, figures, data visualizations, and summaries tailored for scientific and business audiences.
• Contribute to literature reviews, manuscripts, abstracts, conference materials, and presentations.
• Engage in team meetings, code reviews, documentation tasks, and research best practices.
• Collaborate with biostatisticians, data scientists, clinicians, and research partners in 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 discipline.
• Foundational understanding of statistical methods, research design, and interpretation of quantitative findings.
• Experience in statistical programming using R.
• Familiarity with healthcare, clinical, cardiovascular, registry, or population health data.
• Strong analytical, problem-solving, organizational skills, and attention to detail.
• Commitment to reproducible research, data integrity, and thorough documentation.
• Capability to communicate effectively and collaborate with both technical and non-technical colleagues.
• Coursework or hands-on experience in regression modeling, survival analysis, longitudinal data analysis, causal inference, clinical trials, or observational research.
• Ability to convey project details to both technical and non-technical audiences.
• Capacity to thrive in a fast-paced, dynamic environment while managing multiple priorities across various entities.
• Intermediate to excellent proficiency in Microsoft Word, Excel, Outlook, and PowerPoint.
• Reliable WiFi connection is necessary.
• Minimum availability of 20 hours per week, Monday to Friday, between 8:30 AM and 5:00 PM.
• Must have legal authorization to work in the United States for any employer without sponsorship, now or in the future.
• For remote positions, work must be conducted within the United States, not in a foreign country.
• Additional experience in Python or SAS is advantageous.
• Familiarity with AI/ML/LLM is preferred.
• Experience in creating publication-ready tables and figures or contributing to scientific writing is a plus.
• Familiarity with version control, code review, or reproducible workflow practices is preferred.
• Hands-on internship experience within a non-profit, voluntary health organization.
• Resources for work-life harmonization.
• Access to Heart U corporate university.
• Training and support from local and National Centers.
• Opportunities for 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 their family members.
• Chance to enhance academic and professional resumes.
• Opportunity to explore potential career paths.
• Reliable WiFi connection provided as an essential work resource.
HighLevel
HighLevel
Brown and Caldwell
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