Cardiac AI & Biosignal Data Science Intern

Boston Scientific; United States; On-site; USD 28,000 - 48,000; Full time

Job summary

Boston Scientific in the United States is seeking an on-site R&D AI/ML intern for the AIS group to develop deep learning models predicting cardiac events from ECG and biosignals. You will apply signal processing to diagnostics data and collaborate with engineers to align algorithms with device capabilities.

The internship runs 12 weeks starting May 2027, with potential relocation housing assistance for eligible candidates.

Qualifications

• Masters or PhD student with at least one semester left after internship
• Pursuing Biomedical Engineering (EE emphasis), Electrical Engineering, Data Science, Neuroscience, or Mathematics
• Willingness to start May 17th or 24th, 2027 for a 12-week internship
• Strong collaboration and communication skills required

Responsibilities

• Develop deep learning models to predict cardiac events from ECG and biosignals
• Apply signal processing to clean and analyze physiological signals for device diagnostics
• Support AI/ML algorithm design to improve implantable device performance
• Collaborate with engineers to integrate Python-based data analysis tools
• Analyze large implantable device datasets to inform new therapies

Skills

AI/ML

Python

Deep learning

Signal processing

ECG knowledge

Team collaboration

Communication

Education

Masters/PhD student in Biomedical Engineering (EE)

Job description

Boston Scientific in the United States is seeking an on-site R&D AI/ML intern for the AIS group to develop deep learning models predicting cardiac events from ECG and biosignals. You will apply signal processing to diagnostics data and collaborate with engineers to align algorithms with device capabilities.

The internship runs 12 weeks starting May 2027, with potential relocation housing assistance for eligible candidates.