R&D Research Data Science Intern

Summary

Boston Scientific is a global medical technology company developing innovative solutions to improve patient health. The R&D Research Data Science Intern will develop deep learning and signal-processing models for cardiac event prediction, implantable-device diagnostics, and therapy development. The role also involves data analysis and collaboration with clinical, software, and hardware engineering teams.

Responsibilities

• 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

Skills

• 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
• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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

Benefits

• Access to the latest tools, information and training to advance skills and career
• Relocation and housing assistance may be available to those who meet the eligibility criteria
• Variable compensation from time to time for non-exempt (hourly), non-sales roles, including overtime and shift differential, subject to plan eligibility and other requirements
• Annual bonus target for non-exempt (hourly), non-sales roles, subject to plan eligibility and other requirements
• Annual bonus target and long-term incentives for exempt, non-sales roles, subject to plan eligibility and other requirements