R&D Research Algorithm & Data Science Intern
Cardiac Data Science
Likely openWe list a role only while we believe it is still open. Confirm on the posting before you apply.
What stands out
- Pay is stated up front — $73,736. Most postings never say.
- Nobody had applied when this was listed — you would be near the front of the queue.
- Posted in the last 24 hours.
The gist
This internship involves developing predictive models for cardiac events using ECG data and collaborating on AI projects to enhance medical device performance. It is ideal for PhD students with experience in signal processing and machine learning.
What you would actually do
- Build deep learning models to predict cardiac events from ECG data
- Use Python and MATLAB for signal processing and algorithm development
- Collaborate on AI/ML projects to improve implantable device performance
Skills mentioned
How to apply
Internships in the US often collect hundreds of applicants within a day, so applying early matters more than applying perfectly. A half-finished application sent on the first morning beats a polished one sent on the third.
This summary was written by InternDoor from the public posting, and is not the employer's own wording. The linked posting is the source of truth — check it before you apply.