R&D Research Data Science Intern

**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 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

**Requisition ID: 635392**

**Minimum Salary: $ 43368**

**Maximum Salary: $ 73736**

The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) – see [<www.bscbenefitsconnect.com>—](https://secure.bscbenefitsconnect.com/home/index.html)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 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.

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.