AI Imaging Data Scientist Intern

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.

Youre 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 companys facilities.
Field roles are most effectively done outside of the companys 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 wont 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 youre 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.