Philips
From Philips's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
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We need to hire one AI imaging data scientist to support data collection, data cleaning, AI algorithm training and analysis.
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.
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.
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.
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