Now's our time to inspire the future of healthcare together.
Siemens Healthineers is a leading global medical technology company with over 170 years of experience and 18,000 patents. More than 60,000 dedicated colleagues in over 70 countries are driven to shape the future of healthcare. We stand with our customers around the world to support them in delivering high quality care to their patients. An estimated 5 million patients across the globe 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. This is what truly matters to us.
Join our team now at Siemens Healthineers as Sr. Deep Learning Scientist - Medical Image Computing
Siemens Medical Solutions, Imaging Innovation Team in Malvern, PA, has an immediate opening for a senior scientist in the area of medical image computing, pattern recognition, and machine learning. The Innovation team delivers trend-setting computer vision, pattern recognition and machine learning software applications for medical image analysis and understanding, supporting clinicians and other medical professionals.
What are my responsibilities?
Research, design, and implement algorithms in Deep Learning for Medical Image Analysis problems.
The research tasks include the development of novel and efficient algorithms and systems for detection, segmentation, and recognition/classification of physiological and pathological patterns in 2D, 3D or 4D medical imaging data.
Development of novel algorithms and systems for semantic image indexing, efficient image matching and search from large medical image databases, and knowledge-guided, value-adding information retrieval from large-scale biomedical information repositories.
Advance the state-of-the-art, including generating patents and publications in top journals and conferences.
Work on large-scale, real-world problems.
Fast prototyping, feasibility studies, specification and implementation of image and video analysis product components.
Work with customers to understand requirements and deliver solution
What do I need to qualify for this job?
You have advanced knowledge and a proven record of strong research in pattern recognition and medical image computing. You have advanced knowledge in machine learning, especially with its application in pattern recognition. Prior experience in medical image analysis is NOT a necessary condition to apply, although research experience on medical imaging topics with clinicians in a clinical environment will be a plus.
Ph.D. in an engineering or science field such as Computer Science, Electrical Engineering, Statistics, or Applied Math
Strong background in Deep Learning.
Experience with Computer Vision, Machine Learning and Image Understanding preferred.
Experience in GPU programming.
Hands-on coding skills and ability to quickly prototype in C++ is a must. Further experience in Scripting languages such as Python is a plus.
Outstanding written and verbal communication skills in English are required
Excellent interpersonal skills and a can-do attitude
Strong collaboration skills and ability to thrive in a fast-paced environment.
Siemens Healthineers has recently announced the next steps in our continued commitment to prioritize colleague health, comply with customer/business partner requirements, and help preserve our business continuity. Going forward, please be aware that Siemens Healthineers requires full COVID-19 vaccination for all new hires by their start date.
(Note: Accommodations may be requested for certain medical or religious reasons)
At Siemens Healthineers, we value those who dedicate their energy and passion to a greater cause. Our people make us unique as an employer in the med-tech industry. What unites and motivates our global team is the inspiration of our common purpose: To innovate for healthcare, building on our remarkable legacy of pioneering ideas that translate into even better healthcare products and services. We recognize that taking ownership of our work allows both us and the company to grow. We offer you a flexible and dynamic environment and the space to move beyond your comfort zone to grow both personally and professionally.
If you want to join us in transforming the way healthcare is delivered, visit our career site at https://usa.healthcare.siemens.com/careers
If you wish to find out more about the specific before applying, please visit: https://usa.healthcare.siemens.com/about
As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.
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