Intern, Data Science

Key Skills

Python Programming, Data science techniques, R Programming

Job Description

Are you ready to join an organization where you can be arelentless forcefor a world of longer, healthier lives?

Envision all Americans enjoying ideal cardiovascular health free of heart disease and stroke. At the American Heart Association and American Stroke Association, we get to work toward that goal every single day. Is it easy? No. Is it worthwhile? You bet!

This is satisfying work that makes a real difference in people's lives. You can achieve professional growth with personal fulfillment. You will connect with people and make a lifesaving impact. You will partner with individuals, schools, lawmakers, healthcare providers and others to ensure everyone has access to healthier lifestyle choices and proper healthcare.

Responsibilities

The American Heart Association (AHA) has a great opportunity for a Part-time Internin ourInstitute for Precision Cardiovascular Medicinegroup located at our National Center office in Dallas, TX .

This internship will last approximately 3 months.

This internship will focus on supporting the Institute for Precision Cardiovascular Medicine group and is intended to better your knowledge, understanding and experience in Data Science. You will have the opportunity to learn and work with staff from the Institute for Precision Cardiovascular Medicine as well as other departments and volunteers. We will gladly work with your schedule, but we are expecting this person to work approx. 10-15 hours each week.

Want to help get your resume to the top?We are looking for your expertise in the following areas.

Qualifications

• Currently pursuing a BA/BS or higher in a related field of study.
• Must be knowledgeable in R, python and a range of data science analysis software.
• Self-starter with good organizational skills and attention to detail.

Here are some of the preferred skills we are looking for:

• AHA knowledge.
• Understanding of health equity.
• Prior experience with clinical data.