Sr. AI Scientist - Medical Imaging and Computer Vision

  • Princeton, NJ

Employment Type

: Full-Time

Industry

: Healthcare - Allied Health



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Organization: Siemens Healthineers

Business Unit: Digital Services

Requisition Number: 247853

Primary Location: United States-New Jersey-Princeton

Assignment Category: Full-time regular

Experience Level: Senior level

Education Required Level: Doctorate Degree

Travel Required: 5%

Job Description:

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 48,000 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 a Senior AI Scientist - Medical Imaging and Computer Vision

The Digital Technology and Innovation Team at Siemens Healthineers has openings in Princeton, NJ for Senior Research Scientists with focus on Machine Learning / Artificial Intelligence methods for Medical Imaging applications.

Our Princeton team, backed by the Siemens Healthineers global network, has a solid track record of rapidly translating our award-winning research into clinical products that are deployed globally. Our facility is recognized for providing a stimulating environment for highly talented and self-motivated candidates, and the resources needed to achieve impact on patients.

This is a role well suited to an ambitious professional, looking for the next step in their career. As a Senior AI Scientist, you will be responsible for:

* Research, design, and implement machine learning algorithms for Medical Imaging and Computer Vision problems.
* Advance the state-of-the-art, including generating patents and publications in top journals and conferences.
* Work on large-scale, real-world problems in collaboration with clinical and technical partners.
* Fast prototyping, feasibility studies, specification and implementation of medical image analysis algorithms for clinical research
* Work with customers to understand algorithm and workflow requirements and deliver prototype and product-ready solutions

What do I need to qualify for this job?

* Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics or related discipline
* 5+ years of experience (including Ph.D. study) in machine learning, applied mathematics, computer vision fields

Strong coding skills and experience in python and deep learning libraries is required. Proficiency in C/C++ and CUDA is a plus
* Strong publication record in Machine Learning, Computer Vision and Medical Image Analysis
* Prior experience with medical image analysis is a plus
* Strong collaboration skills and ability to thrive in a fast-paced environment
* Strong interpersonal and written and verbal communication skills

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

If you wish to find out more about Siemens Healthineers before applying, please visit:

As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.

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