Siemens Staff Scientist in Hoffman Estates, Illinois

Staff Scientist

Locations:Hoffman Estates, Illinois

Job Family: Research & Development

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Job Description

Division: Siemens Healthineers

Business Unit: Diagnostic Imaging

Requisition Number: 201362

Assignment Category: Full-time regular

Experience Level: Mid level

Education Required Level: Doctorate Degree

Travel Required: 15%

Division Description:

Analyzes, evaluates, and plans very complex methods of approach, and organizes means to achieve the solution to problems. Interprets and evaluates test data and results of very complex investigation and develops appropriate recommendations. Develops reports, charts, graphs, and other documents and makes recommendations to senior staff. Develops the design of a variety of very complex products, processes, and components. Reviews and approves related inputs such as very complex drawings and specifications prepared by technical support personnel.

Job Description:

Staff Scientist

Hoffman Estates, IL

Siemens Medical Solutions USA, Inc. is one of the largest global suppliers of healthcare equipment, renowned for innovative products, services and solutions including diagnostic imaging systems, therapy equipment for treatment and electro-medicine and IT solutions to optimize workflow and increase efficiency in the healthcare industry.

Our goal is to develop novel imaging solutions for Nuclear Medicine and to usher in the era of Precision Medicine. We seek a dedicated and passionate team member with excellent technical background and research credentials in emission tomography. Are you a scientist with a passion for innovation, have an entrepreneurial spirit and who wants to make an impact to the field of Nuclear Medicine?

We are seeking such talent to investigate, develop, and evaluate a range of technologies that will enable our products to provide breakthrough healthcare solutions. You will work in a multi-disciplinary team with access to luminary clinical researchers worldwide, and you should have a passion to understand and address clinical problems in this field. You should be comfortable to take on large and complex problems as an individual contributor or as part of a larger team. In this role you will contribute and lead the research and development efforts in emission tomography reconstruction to support next generation image formation concepts using your ability to develop algorithms, handle large computational problems and implement rapidly prototypes and tools. Your excellent communication skills and expertise will also allow you to provide technical support to service and marketing in addressing customer complaints and inquiries, and successfully collaborate with luminary clinical sites worldwide to test new technologies.

Requirements:

• Ph.D. in an area of computational sciences, and physics

• Expert level knowledge of iterative reconstruction of inverse problems is strongly desired, in particular in emission tomography

• Experience in image processing desired

• Experience in parallel and high performance computing with hands on experience using object oriented programming of CUDA/OpenCL, Matlab, C/C++/C# on Windows (must), Linux/Unix platforms

• Experience in distributed computing including deployment on the cloud desired

• Demonstrated strong analytical and data analysis skills

• Demonstrated ability of rapid prototype development

• Ability to communicate with both scientists and non-scientists is essential

*LI-RAW

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, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, protected veteran or military status, and other categories protected by federal, state or local law.

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Applicants and employees are protected under Federal law from discrimination. To learn more, Click here at https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm .

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