About the role#
The Active Implantable Systems (AIS) R&D group develops technologies that monitor, diagnose, and treat conditions like heart failure and irregular heart rhythms. As a Research Data Science Intern, you will work with clinical, software, and hardware teams to support the design of algorithms for implantable medical devices. This is a paid, full-time summer position.
What you'll do#
- Build deep learning models to predict cardiac events using ECG and physiological data.
- Apply signal processing techniques to analyze and interpret biosignals for device diagnostics.
- Support the design of AI and machine learning algorithms to improve implantable device performance.
- Use Python-based tools for data analysis, simulation, and model validation.
- Analyze large datasets from implantable devices to identify patterns for future therapy development.
- Contribute to feasibility studies regarding novel diagnostic features.
What you'll need#
- Current enrollment in a Ph.D. program in Neuroscience or Biomedical Engineering, with a graduation date by May 2028.
- Previous internship experience within the Boston Scientific AIS R&D department.
- Ability to start on May 17th or May 24th, 2027, and complete a 12-week term.
- Reliable transportation to and from the work site.
Location & details#
- This role is based in Arden Hills, Minnesota.
- The position follows an on-site work model, requiring presence in the office five days per week.
- Boston Scientific does not offer visa sponsorship for this position.
About Boston Scientific
Boston Scientific manufactures medical devices and technologies for patients globally. The company develops tools for diagnosing and treating conditions in areas such as cardiovascular, respiratory, and neurological health. It operates as a public company with over 54,000 employees. The headquarters is located in Marlborough, Massachusetts.
How to get in at Boston Scientific
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