Sr. Research Scientist, Medical Imaging AI

Uii America - Boston, MA

Full-time - Senior

Boston, MA

About the position

The Sr. Research Scientist in Medical Imaging AI at UII America, Inc. is a pivotal role focused on advancing AI solutions for medical devices and imaging. This position involves leading the development of innovative AI and Deep Learning algorithms to address complex challenges in medical imaging, while collaborating with a multidisciplinary team to translate theoretical research into practical healthcare solutions. The ideal candidate will have a strong background in AI research, particularly in medical imaging, and a passion for driving technological advancements in healthcare.

Responsibilities

• Lead the development of groundbreaking AI and Deep Learning algorithms to tackle complex challenges in medical imaging.
• Elevate the performance and efficiency of AI algorithms and libraries, contributing to the company's leadership in medical AI technology.
• Work closely with a multidisciplinary team, including management, to push the boundaries of what's possible in AI and Deep Learning.
• Engage in state-of-the-art research, translating theoretical advancements into tangible healthcare solutions with real-world impact.
• Forge and maintain strong relationships with potential customers and clinical partners to understand needs and deliver solutions.
• Contribute to a collaborative and positive team environment, sharing knowledge and fostering innovation.
• Play a pivotal role in shaping the innovative changes redefining the future of healthcare technology.

Requirements

• PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or a closely related field.
• At least 5 years of R&D experience in Machine Learning and Deep Learning.
• Deep understanding of AI, Deep Learning, Computer Vision, and state-of-the-art image/video processing technologies.
• Experience with generative AI and 3D computer vision is a plus.
• Strong preference for candidates with a history of addressing medical imaging challenges using AI techniques.
• A proven track record of contributions to the field, including publications in prestigious conferences and journals (e.g., NeurIPS, ICML, CVPR, MICCAI, CVPR, TMI, among others).
• Proficiency in C/C++, Python, and familiarity with major Deep Learning frameworks (e.g., PyTorch, TensorFlow).
• Exceptional problem-solving capabilities, self-driven, with excellent critical thinking and communication skills.