R&D Research Algorithm & Data Science Intern

Boston Scientific
Arden Hills, Minnesota, United StatesPosted Sep 2, 2026
Data Science / ML

About the role

Additional Location(s): N/A 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. At Boston Scientific, we value collaboration and synergy. This role follows an onsite work model, requiring employees to be in our local office at least five days per week. Relocation and housing assistance may be available to those who meet the eligibility criteria. Boston Scientific will not offer sponsorship or take over sponsorship of an employment VISA for this position at this time We will consider qualified applicants of all ages who are starting (or restarting) their careers 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 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 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 s

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