R&D Research Data Science Intern

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.

Our R&D engineers are tasked with designing and developing implant products for the Active Implantable Systems (AIS) group. This includes technologies that monitor, support diagnosis and treat irregular heart rhythms, heart failure, and sudden cardiac arrest. AIS provides devices and therapies for a patient’s entire continuum of care, from diagnostic to treatment. This division strives to innovate and create a paradigm shift that can solve unmet clinical needs and change what is possible for patients.

Your responsibilities will include:

• Develop deep learning modelsto 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 the 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

Required 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 a degree in Biomedical Engineering (EE emphasis), Electrical Engineering, Data Science, Neuroscience, or Mathematics.
• Must be able to start internship on May 17th or 24th, 2027 and work for 12 weeks
• Must have reliable transportation to/from work.

Preferred Qualifications:

• Experience with AI/ML and deep learning-based prediction model development
• Experience with testing-related projects in school or work
• Experience working with/studying Electrocardiogram (ECG) and physiological signals using signal processing
• Medical device industry experience
• Excellent communication and collaboration skills