Siemens Staff Scientist in Hoffman Estates, Illinois
Locations:Hoffman Estates, Illinois
Job Family: Research & Development
Division: Siemens Healthineers
Business Unit: Diagnostic Imaging
Requisition Number: 211248
Primary Location: United States-Illinois-Hoffman Estates
Assignment Category: Full-time regular
Experience Level: Mid level
Education Required Level: Doctorate Degree
Travel Required: 15%
Siemens is a global technology powerhouse that has stood for engineering excellence, innovation, quality, reliability and internationality for more than 165 years. As a global technology company, Siemens is rigorously leveraging the advantages that this setup provides. To tap business opportunities in both new and established markets, the Company is organized in nine Divisions: Power and Gas, Wind Power and Renewables, Energy Management, Building Technologies, Mobility, Digital Factory, Process Industries and Drives, Healthineers and Financial Services.
With 45,000 employees Siemens Healthineers is one of the world’s largest suppliers of technology to the healthcare industry and a leader in medical imaging, laboratory diagnostics and healthcare IT. All supported by a comprehensive portfolio of clinical consulting, training, and services available across the globe and tailored to customers’ needs. So that more people can have a life that is longer, richer, and more filled with happiness.
For more information, please visit: http://www.usa.siemens.com/healthcare
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.
We are working on novel technologies to develop next generation quantitative multimodal SPECT.
We are seeking an experienced scientist with excellent academic background to develop algorithms for tomographic image reconstruction, image analysis and deep learning.
You will work in a multi-disciplinary team and have access to luminary clinical researchers worldwide, and you should have a passion to understand and address clinical needs 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 or lead research efforts to support next generation image formation concepts using your ability to develop algorithms, handle large computational problems and rapidly implement prototypes. Your excellent communication skills and expertise will also allow you to provide technical support to service and marketing teams in addressing customer complaints and inquiries, and you will successfully collaborate with luminary clinical sites worldwide to test and validate new technologies.
· Ph.D. in an area of computational sciences and deep knowledge of the physics image formation
· >5years’ experience
· Desired areas of expertise
o Iterative reconstruction of inverse problems,
o Image and Data processing,
o Machine learning
· Demonstrated strong analytical and data analysis skills
· Demonstrated ability of prototype development
· Ability to communicate with both scientists and non-scientists is essential
Exceptionally qualified candidates who do not meet all requirements will also be considered.
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 .
Pay Transparency Non-Discrimination Provision
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here at https://www.dol.gov/ofccp/pdf/pay-transp_formattedESQA508c.pdf .