Intern, Data Science, Biostatistics

American Heart Association

. Assist with preparing, cleaning, validating, and documenting clinical, registry, and research datasets .

Posted 9/23/2026part-timeRemote • Texas • United StatesEntry Level💰 $23 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in statistical programming with R and proficiency in statistical methods such as regression modeling and survival analysis. Capable of producing high-quality analytical outputs and collaborating effectively with diverse teams in a research environment.

Highest-signal resume keywords

Statistical Programming In RRegression ModelingSurvival AnalysisData Quality AssuranceScientific Communication

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Statistical AnalysisDescriptive StatisticsInferential StatisticsLongitudinal Data AnalysisMixed-Effects ModelsCausal InferenceClinical TrialsObservational ResearchData VisualizationQuality Control

Soft Skills

Analytical SkillsProblem-SolvingOrganizational SkillsAttention To DetailEffective Communication

Tools & Technologies

RPythonSASMicrosoft WordMicrosoft ExcelMicrosoft OutlookMicrosoft PowerPointVersion ControlReproducible WorkflowsAI/ML/LLM

Industry Keywords

BiostatisticsStatisticsEpidemiologyPublic HealthData ScienceHealthcare DataClinical DataCardiovascular DataRegistry DataPopulation Health Data

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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