Cardiac AI/ML R&D Intern – Data Science

Boston Scientific Gruppe; Saint Paul (MN); On-site; USD 28,000 - 48,000; Full time

Benefits offered by this job

Relocation assistance

Housing assistance

Job summary

Boston Scientific is offering an internship in its AIS R&D group in Minneapolis to develop AI/ML solutions for implantable cardiac devices. You will work on predicting cardiac events from ECG and biosignals, with close collaboration across clinical, software, and hardware teams.

The internship is for 12 weeks, onsite, with opportunities to explore Feasibility features and device diagnostics enhancements. Master's or PhD candidates in related fields are encouraged to apply.

Qualifications

• Masters or Ph.D. student. Must have at least one semester of school left post-internship to qualify.
• Graduation date between December 2027 - May 2029
• Working towards Biomedical/EE/Data Science focused degrees.

Responsibilities

• Develop deep learning models to predict cardiac events using ECG and other physiological signals.
• Apply signal processing techniques to clean, analyze, and interpret biosignals for device diagnostics and monitoring.
• Support design of AI/ML algorithms that enhance implantable device performance and patient outcomes.
• Collaborate with engineers to integrate Python-based tools for data analysis, simulation, and model validation.
• Contribute to feasibility studies exploring novel diagnostic features for heart rhythm and heart failure detection.
• Analyze large datasets from implantable devices to identify patterns and inform next-generation therapy development.
• Work closely with clinical, software, and hardware teams to ensure alignment between algorithm development and device capabilities.

Skills

AI/ML

Deep learning

Python

ECG signals

Signal processing

Education

Master's or PhD student in Biomedical Engineering (EE emphasis)

Electrical Engineering

Data Science

Neuroscience

Mathematics

Tools

Python

Job description

Boston Scientific is offering an internship in its AIS R&D group in Minneapolis to develop AI/ML solutions for implantable cardiac devices. You will work on predicting cardiac events from ECG and biosignals, with close collaboration across clinical, software, and hardware teams.

The internship is for 12 weeks, onsite, with opportunities to explore Feasibility features and device diagnostics enhancements. Master's or PhD candidates in related fields are encouraged to apply.