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Philips North America
Cambridge, Massachusetts, United States
(on-site)
Posted
2 days ago
Philips North America
Cambridge, Massachusetts, United States
(on-site)
Job Type
Part-Time
Job Function
Internship
Co-op - Healthcare Data Scientist - Cambridge, MA
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Co-op - Healthcare Data Scientist - Cambridge, MA
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
Job TitleCo-op - Healthcare Data Scientist - Cambridge, MA
Job Description
Co-op - Healthcare Data Scientist - Cambridge, MA - January - August 2026
Are you interested in an Internship opportunity with Philips? We welcome individuals who are currently pursuing a graduate (MS) degree to participate in paid intern opportunities. Through this role you will gain meaningful, hands-on experience working for a HealthTech company.
Your role:
- Designing, testing, developing, deploying, maintaining, and improving algorithm software assets building on a solid knowledge of Machine learning/Generative AI technologies.
- Data Engineering, focusing on feature engineering, querying and analyzing data patterns.
- Utilizing large cross-country data lake-houses to build relevant insights and algorithms for clinical care and patient management.
- Designing and developing data analysis and visualizations and supporting customer data analytics processes.
You're the right fit if:
- MS in Computer Science, Computer Information Systems, Computer Engineering, or related degrees.
- Strong understanding of data science concepts and methodologies. Experience with machine learning algorithms for classification, regression, clustering, reinforcement learning, dimensionality reduction with expertise in one or more application domains of NLP, image processing, generative AI and time series analysis.
- Skilled in Python ML frameworks, SQL queries and at least one major programming language such as C#.
- Preferably: A knowledge of cloud computing and its application in data science- cloud architecture based on Amazon Web Services, leveraging AWS Data pipeline to process and move data using AWS services like EC2, Athena and S3.
- You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this Office/Remote position.
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.
- Read more about our employee benefits .
If you're interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion here .
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 the job posting location.
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.
Job ID: 81573248

Philips North America
Healthcare / Health Services
Every human matters. We've built our entire company around this belief, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve.
These are lofty ambitions. But we have targets to help us get there. For example, our purpose is to improve 2.5 billion lives per year by 2030, including 400 million in underserved communities.
We measure this. We hold ourselves accountable for it. And we also acknowledge that we can only take care of people if we also take care of the planet.
...
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