PhilipsAI Imaging Data Scientist Intern
Philips is hiring an AI Imaging Data Scientist Intern in Shanghai, China. Level rates it ; you can apply on Philips.
Level's read on this job
- Builds AI ●●●● is how Level rates this data scientist role: the job is building AI systems.
- Tools and skills the posting cites include Python, AI data labeling and machine learning.
- Level classifies it as an internship.
- Level lists 797 other open roles at Philips.
AI in this role
Support AI imaging data collection, cleaning, algorithm training, and model development for healthcare applications.
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.
How we rate this
AI Imaging Data Scientist Intern at Philips rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data scientist jobs at this level
Pay
- Typical data scientist job
- $167k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- How do you keep labeling instructions consistent across a large annotation team?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where data cleaning was part of your work. What did you do?
- Tell me about a project where algorithm training was part of your work. What did you do?
- Tell me about a project where image processing was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Data Labeling, Machine learning, Data Cleaning, Algorithm Training, and Image Processing. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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