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Graduate Level Co-Op - Data Scientist - Plymouth, MN - Summer 2027

Philips
  • Plymouth, MN
  • $33–$48 Per Hour
3 days ago

Job Description

Job Title

Graduate Level Co-op- Data Scientist- Plymouth, MN - Summer 2027

Job Description

Graduate Co-op- Data Scientist- Plymouth, MN - Summer 2027

Are you interested in an Internship opportunity with Philips? We welcome individuals who are currently pursuing a graduate (MS/PhD) degree to participate in a 3-6 month paid intern opportunities at our site in Plymouth, MN. Through this role you will gain meaningful, hands-on experience working for a HealthTech company.

Your role:

Join our high-performing Software Engineering team within the Image Guided Therapy Devices (IGT-D) Software R&D group. As a Data Scientist co-op,

you will support the development, analysis, validation, and documentation of data-driven and machine-learning-enabled workflows for clinical imaging software applications. You will work closely with AI/ML engineers, data scientists, software engineers, product owners, testers, and cross-functional stakeholders to help improve the quality, reliability, traceability, and performance of data and AI/ML models used in medical device software.

This is a great way to spend your spring/summer gaining practical experience in healthcare technology, medical imaging data, machine learning workflows, and regulated medical device software development, while contributing to technology that can improve clinical workflow efficiency for physician customers and support better outcomes for patients.

  • Work closely with a member of the Software and AI/ML Engineering team to work on a focused project that can be completed during the co-op.
  • Support gathering, processing, organizing, and analyzing raw data from different sources, with a focus on clinical imaging or healthcare-related datasets.
  • Assist with exploratory data analysis to identify patterns, trends, data quality issues, unexpected results, or potential preprocessing concerns.
  • Help verify the quality, consistency, and reliability of data sources used for AI/ML model development and validation.
  • Support documentation of data sources, data cleaning processes, exploratory analysis, assumptions, parameters, and performance metrics.
  • Assist data scientists and machine learning engineers with model training, evaluation, tuning, and performance analysis under the guidance of experienced team members.
  • Complete required training necessary to comply with regulatory requirements and quality management system standards.
  • Create and present an end-of-summer intern presentation summarizing your project, technical approach, results, learnings, and impact.

You're the right fit if:

  • Pursuing a master's degree or doctorate (Ph.D) in computer science, computer engineering, or a related field.
  • Experience working with deep learning frameworks like PyTorch, TensorFlow etc. and CNNs like UNet, ResUNet etc.
  • Strong understanding of medical imaging standards and formats (e.g., DICOM, NIfTI) and familiarity with data management tools specific to imaging (e.g., PACS, cloud-based storage for imaging data).
  • Experience in managing medical imaging databases and understanding of how imaging data is used in AI/ML model development.
  • Good problem solving and debugging skills.
  • Team player with good communication, technical writing and presentation skills.
  • Willing and capable of working on-site in the office at our Plymouth, MN site.
  • You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.

How we work together

We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company's facilities. Field roles are most effectively done outside of the company's main facilities, generally at the customers' or suppliers' locations.

This is an office role.

About Philips

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others.

  • Learn more about our business.
  • Discover our rich and exciting history.
  • Learn more about our purpose.
  • Learn more about our culture.

Philips Transparency Details

The hourly pay range for this position is $33.00 to $48.00, plus overtime eligible. The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity.

Details about our benefits can be found here.

At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case.

Additional Information

US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.

Company relocation benefits will not be provided for this position. For this position, you must reside in or within commuting distance to Plymouth, MN.

This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates. Interested candidates are encouraged to apply as soon as possible to ensure consideration.

Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.

Numbers & Facts

LocationPlymouth, MN
IndustryHealthcare Services
Salary$33–$48 Per Hour
Company Size10,000 employees or more
Year Founded1933
Websitehttp://www.philips.com/na/careers

About Company

At Philips, we don’t need employees. We need people.

Our goal is to improve the lives of 3 billion people a year by 2025 through innovation that is designed for people, by people. People like you. And we know that in order to be truly innovative, it requires you to make your career personally meaningful. To bring what matters to you in life to everything you do in your career. If you're passionate about improving lives, and have more to offer than just lines on your resume, we want to find a home for you at Philips.

As a diversified health and well-being company, we focus on professional and consumer markets across three interconnected sectors: Healthcare, Consumer Lifestyle, and Lighting. Today, we're a global innovation leader - the first to bring the commonly used CD and DVD products to market, the ones saving lives daily with our imaging systems and patient monitors, and the ones responsible for the lighting of the annual Times Square ball. We aim to improve peoples’ lives every day through meaningful innovations and are the best place to work for those who share our passion for improving lives.

Philips’ people first culture and commitment to providing unlimited possibilities to develop one's career in the directions to which they aspire demonstrates a dedication to inspiring good people, not just hiring employees. At Philips, employees enjoy contributing to cutting edge solutions that truly improve lives, allowing them to 'do good' while doing great and create a legacy in life through their work.

If you are interested in putting your personal skills & passions to work towards improving lives, apply now or learn more at philips.com/na/careers. You can also opt-in to receive updates on future career opportunities and company updates through Philips’ Talent Community, and follow @PhilipsJobsNA on Twitter.



Skills

  • Analysis Skillsunmatched
  • Artificial Intelligence (AI)unmatched
  • Clinical Information Systemsunmatched
  • Cloud Storageunmatched
  • Communication Skillsunmatched
  • Computer Engineeringunmatched
  • Computer Scienceunmatched
  • Cross-Functionalunmatched
  • Data Analysisunmatched
  • Data Managementunmatched
  • Data Qualityunmatched
  • Data Scienceunmatched
  • Data Setsunmatched
  • Data Storageunmatched
  • Database Administrationunmatched
  • Deep Learningunmatched
  • Digital Imaging and Communications in Medicine (DICOM)unmatched
  • Environmental Workunmatched
  • Healthcareunmatched
  • Healthcare Qualityunmatched
  • Healthcare Softwareunmatched
  • Imaging Applicationunmatched
  • Machine Learningunmatched
  • Medical Equipmentunmatched
  • Medical Imagingunmatched
  • Medical Protocolsunmatched
  • Model Validationunmatched
  • Picture Archiving and Communication System (PACS)unmatched
  • Presentation/Verbal Skillsunmatched
  • Product Testingunmatched
  • Quality Managementunmatched
  • Quality System Requirements (QSR)unmatched
  • Regulatory Requirementsunmatched
  • Research & Development (R&D)unmatched
  • Software Developmentunmatched
  • Software Engineeringunmatched
  • Team Playerunmatched
  • Technical Writingunmatched
  • Traceabilityunmatched
  • Trend Analysisunmatched
  • Validation Documentationunmatched

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