Sr. Deep Learning Scientist - Medical Image Analysis at Siemens Medical Solutions USA, Inc. in Princeton, New Jersey

Job Description:

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.


Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.


Join our team now at Siemens Healthineers as a Sr. Deep Learning Scientist - Medical Image Analysis


As a Sr. Deep Learning Scientist, you will be part of the Digital Technology and Innovation Center, the central hub for R&D in artificial intelligence and digital innovation of Siemens Healthineers. Our global footprint extends to USA, China, India, and various countries within Europe. Our highly skilled AI experts specialize in using large data collections and powerful supercomputing infrastructure to build artificial intelligence solutions in close collaboration with government agencies, universities, and healthcare providers worldwide. You will have the opportunity to test your knowledge in a challenging problem-solving environment. You will be encouraged to think out-of-the-box, innovate and find solutions to real-life problems. Our team has a strong publication record in leading journals and conferences



What are my responsibilities?

• Research, design, and implement algorithms in Deep Learning for Medical Image Analysis problems.
• Close collaboration with clinical customers to define, implement and validate clinical prototypes
• 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.
• Working on challenging and impactful clinical problems with large-scale data sets

What do I need to qualify for this job?

• Ph.D. in an engineering or science field such as Computer Science, Electrical Engineering, Statistics, or Applied Math
• Strong background in Deep Learning and/or Medical Image processing
• 4+ years of industry experience or post-doctoral studies in Computer Vision, Machine Learning and Image Understanding preferred.
• 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.

Who we are:
We are a team of more than 71,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.



How we work:
When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Check our Careers Site at https://jobs.siemens-healthineers.com/careers



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"Successful candidate must be able to work with controlled technology in accordance with US export control law." "It is Siemens Healthineers' policy to comply fully and completely with all United States export control laws and regulations, including those implemented by the Department of Commerce through the Export Administration Regulations (EAR), by the Department of State through the International Traffic in Arms Regulations (ITAR), and by the Treasury Department through the Office of Foreign Assets Control (OFAC) sanctions regulations."


As an equal opportunity employer, we welcome applications from individuals with disabilities.


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The pay range for this position is $148,000 - $160,000annually; however, base pay offered may vary depending on job-related knowledge, skills, and experience. The annual incentive target i2 10% of base pay. Siemens Healthineers offers a variety of health and wellness benefits including paid time off and holiday pay. Details regarding our benefits can be found here : https://benefitsatshs.com/index.html


This information is provided per the required state Equal Pay Act. Base pay information is based on market location. Applicants should apply via Siemens Healthineers external or internal careers site.



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Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated.



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 details 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.



Equal Employment Opportunity Statement

Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.


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