Boston Scientific Research Data Science Intern 

United States, Minnesota 

153160741

Title: Research Data Science Intern

Division: Cardiac Rhythm Management

Work Mode: Onsite

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

This position will be posted until 2/8/25

Your responsibilities will include:

• Contributing to the development of a new ML/Ops pipeline for high-throughput deep learning algorithm development.

• Working closely with senior engineer-scientists on the development, validation, tuning, and deployment of a new clinical decision support deep learning algorithm.

• Using your problem-solving abilities to perform meaningful analyses and automate processes.

• Collaborating with a cross-functional team.

• Growing your skillset through a combination of training, hands-on experience, and mentorship.

• Getting exposure to what it is like working in a Fortune 500 medical device company.

• Expanding your network.

Required Qualifications:

• Graduating senior going on to grad school (May/June 2025 grad) or current graduate student, must have one semester of school left to be eligible

• Majoring in Computer Science, Computer/Software Engineering, Data Science, or Biomedical Engineering with a focus/experience in any of the prior areas

• Python experience in an academic or work environment

• Comfortable working with a terminal in UNIX (Linux and/or Mac)

• Experienced using ChatGPT and/or GitHub Copilot to develop code

• Proficiency in Microsoft Excel

• Must beable to commit to program dates May 19th - August 8th or May 27th – August 15th, 2025

• Must be eligible to work in the U.S. without company sponsorship, now or in the future, for employment-based work authorization (F-1 students with practical training and candidates requiring H-1Bs, TNs, etc. will not be considered)

Preferred Qualifications:

• Experience with the modern development tools and concepts: Git, Docker, CI/CD, Jira/Confluence, DVC, SonarQube, Bash, Amazon Web Services (S3, Lambda, ECR, ECS), Snowflake

• Excellent communication and collaboration skills

Program Benefits:

• Competitive Pay

• Opportunities to learn about other BSC sites/departments and network cross-functionally with members of the leadership team

• Fun and so much more!

Maximum Salary: $ 69472

Compensation fornon-exempt (hourly), non-sales rolesmay 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 forexempt, non-sales rolesmay 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.

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.