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R&D Research Algorithm & Data Science Intern 2026
R&D Research Algorithm & Data Science Intern 2026Boston Scientific • Arden Hills, MN, United States
R&D Research Algorithm & Data Science Intern 2026

R&D Research Algorithm & Data Science Intern 2026

Boston Scientific • Arden Hills, MN, United States
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  • [job_card.full_time]
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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.

Title : R&D Research Algorithm & Data Science Intern

Division : Active Implantable Systems (AIS)

Location : Arden Hills, MN

Work Mode : Onsite

We will consider qualified applicants of all ages who are starting (or restarting) their careers

About the role :

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.

Hear from Megan about her intern experience

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 four days per week.

Corporate housing and relocation are available for those who are eligible.

Boston Scientific will not offer sponsorship or take over sponsorship of an employment VISA for this position at this time

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 detection
  • Analyze large datasets from implantable devices to identify patterns and inform next-generation therapy development

Required Qualifications :

  • Masters or Ph.D. student. Must have at least one semester of school left post-internship to qualify.
  • Working towards a degree in Biomedical Engineering (EE emphasis), Electrical Engineering, Data Science, Neuroscience, or Mathematics.
  • Must be able to start internship on May 18th or 26th, 2026 and work for 12 weeks
  • Must have reliable transportation to / from work.
  • Demonstrated ability to build and refine algorithms using statistical and analytical methods for data-driven innovation.
  • Preferred Qualifications :

  • Proficient in Python, Kotlin, or Java, with hands-on experience using MATLAB for algorithm development, simulation, or signal processing
  • Experience with AI / ML and deep learning-based prediction model development
  • Experience working with / studying Electrocardiogram (ECG) and physiological signals using signal processing
  • Medical device industry experience
  • Excellent communication and collaboration skills
  • Requisition ID : 617853

    Minimum Salary : $ 42120

    Maximum Salary : $ 71552

    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.

    As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most - united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do - as a global business and as a global corporate citizen.

    So, choosing a career with Boston Scientific (NYSE : BSX) isn't just business, it's personal. And if you're a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

    At Boston Scientific, we recognize that nurturing a diverse and inclusive workplace helps us be more innovative and it is important in our work of advancing science for life and improving patient health. That is why we stand for inclusion, equality, and opportunity for all. By embracing the richness of our unique backgrounds and perspectives, we create a better, more rewarding place for our employees to work and reflect the patients, customers, and communities we serve.

    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.

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    Data Science Intern • Arden Hills, MN, United States

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