Job description

Job Title Graduate Level Co-op – Medical Imaging Data Scientist – Plymouth, MN – January 2027 Job Description Graduate Level Co-op – Medical Imaging Data Scientist – Plymouth, MN – January 2027 Are you interested in a Co-op opportunity with Philips? We welcome individuals who are currently pursuing a graduate (MS/PhD) degree to participate in a 6-9 month paid co-op 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 preferred) 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.

Requirements

Must-haves

Graduate Level Co-op – Medical Imaging Data Scientist – Plymouth, MN – January 2027
Graduate Level Co-op – Medical Imaging Data Scientist – Plymouth, MN – January 2027
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,
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.
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
This is an office role.

Nice-to-haves

Pursuing a master's degree or doctorate (Ph.D preferred) in computer science, computer engineering, or a related field.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learning

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