Data Engineering Student

Data Engineer Student Our group Imaging Analysis provides AI-powered solutions to make ultrasound image analysis smarter and more accessible. Its AI-based solutions help ultrasound users acquire the right image and analyze it automatically, allowing them to identify clinical abnormalities that are often difficult to find visually and enabling them to make better decisions based on accurate and objective data. Responsibilities: * Maintain the company’s data pipeline system and processes including for organizing, storing, labelling, and analyzing the data received, to ensure timely delivery of high-quality data required for the development projects of the company. * Train data tagging professionals and continuous monitoring to ensure high-quality data tagging. * Work closely with R&D and product management teams, physicians, and clinical specialists to implement relevant data flows based on the features design. * Have a real contribution to the innovative solutions for endless challenging Data requirements, including new DB, optimization, etc. Requirements: * B.sc student of Biomedical or similar, at least at 3rd year * Availability to work at least 50% * High interpersonal skills * Self-directed and comfortable supporting multiple production * Proven experience in a medical imaging / medical SW AI company – advantage * Previous experience with Ultrasound imaging data – advantage * Experience with SQL + Python computing and relational databases – advantage 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. 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 culture of impact with care here. #LI-Field & #LI-Office