Time since we first saw it
Day 83
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
AI Imaging Data Scientist Intern
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Part-time — employment source
Employment type in the employer’s posting: Part time
From the employer’s posting
Before you apply
- New graduates
- For current students
Job title: AI Imaging Data Scientist Intern
What you’ll work on
Full postingSupport imaging data collection, cleaning and annotation
Develop new algorithms or modify existing ones for specific problems
Ensure high imaging data integrity and quality for model training and validation
Find and choose optimal data sources and data features
Take part in full AI model development processes
From the employer’s posting
Support imaging data collection, data cleaning and data annotation.
Develop solution to the specific problem, by new algorithms and/or significantly modify the existing, as needed.
Ensure high imaging data integrity and data quality for model training, validation and deployment.
Find and choose the optimal data sources and data features (variables).
Participates in full AI model development processes, working with broader autonomy and in collaboration mode with other team members.
What you’ll bring
All qualificationsCore experience
- Master's or PhD in Computer Science or Biomedical Engineering preferred
Qualification wording
Master/PhD in Computer Science or Biomedical Engineering is preferred.
Education & alternatives
You're the right fit if: - Master/PhD in Computer Science or Biomedical Engineering is preferred. 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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 13, 202683 days ago
- Recorded sightings
- 149
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Philips is hiring
13 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring has slowed
- Takes jobs down at a usual pace
- 8% of open jobs were reposted
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.
Your next step
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About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Job Title
AI Imaging Data Scientist InternJob Description
Job title:
We need to hire one AI imaging data scientist to support data collection, data cleaning, AI algorithm training and analysis.
Your role:
Performs as specialized Imaging Data Scientist. Acts autonomous within established procedures and practices.
Develop solution to the specific problem, by new algorithms and/or significantly modify the existing, as needed.
Support imaging data collection, data cleaning and data annotation.
Support implementation the best tooling, algorithms, frameworks, languages, and technologies to maximize results, automate and scale as needed.
Ensure high imaging data integrity and data quality for model training, validation and deployment. Find and choose the optimal data sources and data features (variables).
Participates in full AI model development processes, working with broader autonomy and in collaboration mode with other team members. Work cross-functionally, effectively.
Discover ways to leverage the data to achieve business goals.
You're the right fit if:
Master/PhD in Computer Science or Biomedical Engineering is preferred.
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.
Indicate if this role is an office/field/onsite 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 the lives of others.
• Learn more about our business.
• Discover our rich and exciting history.
• Learn more about our purpose.
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Shanghai
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.