At Siemens Healthineers USA, our purpose is to enable healthcare providers to increase value by empowering them on their journey towards expanding precision medicine, transforming care delivery, and improving patient experience, all enabled by digitalizing healthcare. An estimated five million patients benefit every day from our innovative technologies and services in the areas of diagnostic and therapeutic imaging, laboratory diagnostics and molecular medicine, as well as digital health and enterprise services.

As a data scientist, you will be a part of a dynamic team of medical imaging engineers and AI experts committed to improving standard-of-care in diagnostic and interventional ultrasound, and work cross functionally with clinicians, software developers and human factors engineers.

Responsibilities:

• Research, design, implement, and deploy full-stack scalable computer vision, deep learning, and machine learning solutions to novel diagnostic ultrasound imaging clinical problems.
• Keep up with the state-of-the-art in computer vision and deep learning.
• Develop and implement state-of-the-art computer vision algorithms for object detection, classification, segmentation, etc. – for both live video and static medical images.
• Translate business requirements into quick prototypes and work with the R&D and Clinical teams directly to uncover operational objectives and advance data collection.

Core Requirements

• Ph.D. or M.S. in computer science, machine learning, medical imaging, physics, engineering, or related fields.
• Strong foundation in computer science, algorithms, data structures, machine learning, and statistics.
• Depth and breadth in state-of-the-art computer vision, deep learning, and machine learning technologies.
• Proficiency in Matlab, Python and associated packages, and image pre-processing methods.
• Experience working with small & large datasets for deep learning applications.
• Excellent written and verbal communication skills and ability to communicate effectively to both technical and nontechnical audiences.
• Technical fluency; comfortable understanding and discussing architectural concepts and algorithms, assessing tradeoffs and new opportunities with technical team members.

Preferred Qualifications

• Experience with medical imaging
• Proficiency with Tensorflow, Keras, or other deep learning frameworks.
• Experience working in a product development company focused on Healthcare
• Proficient with AWS or Azure cloud computing environments.
• Experience in Agile Application Development & Scrum methodologies.