R&D Research Data Science Intern

Boston Scientific; United States; On-site; USD 28,000 - 48,000; Full time

Job summary

Boston Scientific in the United States is seeking an on-site R&D AI/ML intern for the AIS group to develop deep learning models predicting cardiac events from ECG and biosignals. You will apply signal processing to diagnostics data and collaborate with engineers to align algorithms with device capabilities.

The internship runs 12 weeks starting May 2027, with potential relocation housing assistance for eligible candidates.

Qualifications

• Masters or PhD student with at least one semester left after internship
• Pursuing Biomedical Engineering (EE emphasis), Electrical Engineering, Data Science, Neuroscience, or Mathematics
• Willingness to start May 17th or 24th, 2027 for a 12-week internship
• Strong collaboration and communication skills required

Responsibilities

• Develop deep learning models to predict cardiac events from ECG and biosignals
• Apply signal processing to clean and analyze physiological signals for device diagnostics
• Support AI/ML algorithm design to improve implantable device performance
• Collaborate with engineers to integrate Python-based data analysis tools
• Analyze large implantable device datasets to inform new therapies

Skills

AI/ML

Python

Deep learning

Signal processing

ECG knowledge

Team collaboration

Communication

Education

Masters/PhD student in Biomedical Engineering (EE)

Job description

Additional Location(s): N/ADiversity - Innovation - Caring - Global Collaboration - Winning Spirit - High PerformanceAt 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 timeWe will consider qualified applicants of all ages who are starting (or restarting) their careersOur 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 signalsApply signal processing techniques to clean, analyze, and interpret biosignals for device diagnostics and monitoringSupport the design of AI/ML algorithms that enhance implantable device performance and patient outcomesCollaborate with engineers to integrate Python-based tools for data analysis, simulation, and model validationContribute to feasibility studies exploring novel diagnostic features for heart rhythm and heart failure detectionAnalyze large datasets from implantable devices to identify patterns and inform next-generation therapy developmentWork closely with clinical, software, and hardware teams to ensure alignment between algorithm development and device capabilitiesRequired 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 2029Working 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 weeksMust have reliable transportation to/from work.Preferred Qualifications:Experience with AI/ML and deep learning-based prediction model developmentExperience with testing-related projects in school or workExperience working with/studying Electrocardiogram (ECG) and physiological signals using signal processingMedical device industry experienceExcellent communication and collaboration skillsRequisition ID: 635392Minimum Salary: $ [[cust_salaryMin]]Maximum Salary: $ [[cust_salaryMax]]The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) – see www.bscbenefitsconnect.com—will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs. At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above.Compensation for non-exempt (hourly), non-sales roles may also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).Compensation for exempt, non-sales roles may also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).For MA positions: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.Boston Scientific transforms lives through innovative medical technologies that improve the health of patients around the world. As a global medical technology leader for more than 45 years, we advance science for life by providing a broad range of high-performance solutions that address unmet patient needs and reduce the cost of healthcare. Our portfolio of devices and therapies helps physicians diagnose and treat complex cardiovascular, respiratory, digestive, oncological, neurological and urological diseases and conditions. Learn more at www.bostonscientific.com and follow us on LinkedIn.Boston Scientific Corporation has been and will continue to be an equal opportunity employer. To ensure full implementation of its equal employment policy, the Company will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class.Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.Among other requirements, Boston Scientific maintains specific prohibited substance test requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a prohibited substance test as a requirement. The goal of the prohibited substance testing is to increase workplace safety in compliance with the applicable law.