Epidemiology Data Science Intern — Cardio Health Research

American Heart Association; United States; Remote; USD 26,000 - 37,000; Part time

Benefits offered by this job

Teladoc General Medical & BehavioralH

Employee Assistance Program (EAP)

Heart U online university

Job summary

The American Heart Association seeks a graduate student to extract, analyze, and summarize prevalence, mortality, and health care utilization data from national datasets such as NHANES, NHIS, and CDC WONDER. You will assist with collection, management, analysis, and reporting for scientific publications.

You will develop and maintain SOPs for quality assurance and reproducibility, work in a fast-paced environment, and use cloud-based SAS, R, and approved AI tools.

Qualifications

• Currently pursuing a Master’s degree in Epidemiology, Public Health, Statistics, or a related field with coursework in epidemiologic methods and statistics.
• Working knowledge of cloud-based SAS and R statistical software, and experience using approved AI tools for data analysis is preferred.
• Strong attention to detail, effective communication skills, and ability to work in a fast-paced environment managing multiple priorities.

Responsibilities

• Extract, analyze, and summarize prevalence, mortality, and health care utilization data using national datasets like NHANES, NHIS, and CDC WONDER.
• Assist with the collection, management, analysis, and reporting of cardiovascular disease and stroke-related data for scientific publications.
• Develop and maintain standard operating procedures, analytic documentation, and process guides for quality assurance and reproducibility.

Skills

SAS

R

AI tools

Communication

Education

Master’s degree in Epidemiology, Public Health, Statistics, or related field

Tools

SAS

R

Job description

The American Heart Association seeks a graduate student to extract, analyze, and summarize prevalence, mortality, and health care utilization data from national datasets such as NHANES, NHIS, and CDC WONDER. You will assist with collection, management, analysis, and reporting for scientific publications.

You will develop and maintain SOPs for quality assurance and reproducibility, work in a fast-paced environment, and use cloud-based SAS, R, and approved AI tools.