Hiring Manager: David Robert Engebretsen
Recruiter: Renee Wharton

This position will be posted from September 3rd to November 8th, 2024  

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

Title: Data Science Intern  

Department: Cardiac Diagnostics (CDx) 

Location(s): Arden Hills, MN  

Duration: May - August 2025 (dates flexible)  

Eligibility Requirements: Ability to work in the United States without restriction  

Benefits:   

• Corporate housing & relocation assistance or living stipend available for those who meet eligibility requirements  

• Half-day Fridays all through the summer  

• Free on-campus fitness center & group fitness classes  

• Events throughout the summer include Intern social outings, volunteer day, ice cream & BBQs at the park, opportunities to learn about other BSC sites/departments and network cross-functionally with leadership and peers, and more!  

• Casual, comfortable dress code and inclusive company culture  

Our Purpose:   

Cardiac Diagnostics is a leading developer of mobile health solutions and remote monitoring services that connect patients threatened by cardiac arrhythmias. Using insights to create revolutionary monitoring technologies, this tech-enabled, service-based approach can ultimately reduce the cost of care and improve health outcomes. Cardiac Diagnostics’ wearable portfolio includes the PatientCare Platform and BodyGuardian ® family.  

Your Opportunity:   

As a Data Scientist Intern at Boston Scientific, you will…  

• Participate in the areas of data science, data-driven analysis, signal processing, data mining, and machine learning.   

• Research and assess next-generation technologies for the analysis of biological signals and data-driven modeling and optimization of complex systems.  

• Performs exploratory data analysis and visualizations of multivariate clinical data sets  

• Works closely with software engineering and other Data Scientists to test algorithms  

• Maintains state-of-the-art knowledge and contributes to technical discussions and reviews in related areas of responsibility  

Your Qualifications:   

Required:

• Current Bachelor's student in your Junior or Senior year or grad student. Must have at least one semester of school left post-internship to qualify.    

• Pursuing degree in computer science, mathematics, applied statistics, physics, engineering or similar disciplines   

• Must have authorization to work in the United States without restriction.  

• Solid understanding of modern statistical data analysis techniques  

• Strong programming skills in Python  

• Excellent knowledge of data structures, algorithms and modern OOP techniques  

• Ability to work independently and meet deadlines under guidance from a mentor  

• Strong interpersonal and verbal communication skills  

• Works effectively with peers, management, operations groups, and outside organizations  

Preferred:

• Previous research experience with biological signal processing and/or biomedical data analysis  

• Prior experience in signal processing and feature extraction from physiological signals.  

• Experience developing software in a hybrid Mac/Linux programming environment  

• Familiarity with SQL, relational databases  

• Familiarity with cloud computing and big data technologies  

• Experience in medical algorithm development and support in medical industry.   

• Knowledge of cardiac electrophysiology, cardiovascular and respiratory physiology  

• Experience with Deep Neural Networks and common Deep Learning toolkits like TensorFlow, Theano 

 Requisition ID: 590020

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.  

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 identify, gender expression, veteran’s status, age, mental or physical disability, genetic information or any other protected class.