Sr. Scientist - Deep Learning - Medical Image Analysis - #8021003

Siemens Corporation


Date: Jun 19, 2021
City: Princeton, NJ
Contract type: Full time
Siemens Corporation

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. The Medical Imaging Technology team of Siemens Healthcare Technology Center has an immediate opening in Princeton, NJ for a research scientist with a focus on Deep Learning and Medical Image Analytics. Our Princeton facility is recognized for providing a stimulating environment for highly talented and self-motivated researchers. 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. Advance the state-of-the-art, including generating patents and publications in top journals and conferences. Work on large-scale data sets, 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 solutions 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. Alternative MSc. in an engineering or science field such as Computer Science, Electrical Engineering, Statistics, or Applied Math with at least 3 years experience. Strong background in Deep Learning. Graduate research and internship experience in 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. 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 Siemens Healthineers 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. #LI-ES1 Organization: Siemens Healthineers Company: Siemens Medical Solutions USA, Inc. Experience Level: Experienced Professional Job Type: Full-time 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. EEO is the Law Applicants and employees are protected under Federal law from discrimination. To learn more, Click here. Pay Transparency Non-Discrimination Provision Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here. California Privacy Notice California residents have the right to receive additional notices about their personal information. To learn more, click here.

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