Join us in pioneering breakthroughs inhealthcare. For everyone. Everywhere. Sustainably.
Our inspiring andcaring environment forms a global community that celebrates diversity andindividuality. We encourage you to step beyond your comfort zone, offeringresources and flexibility to foster your professional and personal growth, allwhile valuing your unique contributions.
Join our team now atSiemens Healthineers, Princeton, NJ, USA as Senior AI Scientist: “Medical Imaging (Generative AI)”
This is a role well suited to an ambitiousprofessional, looking for the next step in their career. As a Senior AI Scientist, you will be responsible for:
• You will be working on large-scale, real-world problems, beentrepreneurial in an environment that is more startup than big company.
• You will work with customers to understand algorithm and workflowrequirements and deliver solutions.
• Youwill conduct research, design, and implement disruptive algorithms for solving inverse problems (beamforming, despeckling, deconvolution, super-resolution etc.) in Ultrasound Imaging using Deep Learning methods, such as Generative AI (Diffusion).
• You will be involved in fast prototyping, feasibility studies,specification, and implementation of medical imaging product components.
• You will advance the state-of-the-art in the field, includinggenerating patents and publications in top journals and conferences.
This position may suit you best if you are familiarwith what is below and would like to dodevelop your career with Healthineers.
• You have a Ph.D. in an engineering or science field such asElectrical Engineering, Computer Science, Medical Physics, BiomedicalEngineering etc.
• Strong theoretical background and expertise in Medical Physics (esp. UltrasoundPhysics), Imaging Science, Computational Imaging
• 5+ years of experience (including Ph.D. study) and expertise in Machine Learning, Deep Learning, Inverse Problems
• Strong publication record in Machine Learning, Inverse Problems, Medical Imaging
• You have experience with machine learning libraries (such as PyTorch, TensorFlow, Keras), advanced deep neural network models and in additionyou are familiar with image processing in Python and C++
• Graduate research (and internship) experiences in Machine Learning, Inverse Problems,Medical Imaging preferred.
Required skills to have for the success of this role.
• You have a Ph.D. in an engineering or science field such as Electrical Engineering, Computer Science, Medical Physics, BiomedicalEngineering etc.
• You have 5+ years of experience (including Ph.D. study) and expertise in Machine Learning, Deep Learning, Inverse Problems
• You will be working with our latest technology and therefore youare willing to learn about new software solutions.
• Outstanding collaboration, interpersonal and communication (verbal& written) skills in English is a must.
• You are a team player who can also be independent, prioritize workand thrive in a fast-paced dynamic environment.
• You have very good presentationskills in the customer environment, and you show team orientation,communication skills and customer orientation.
• You have the drive and motivation for career development and open to taking on challenges.
• Willing to travel up to 10%
How we work:
When you join Siemens Healthineers, you become one ina global team of scientists, clinicians, developers, researchers,professionals, and skilled specialists, who believe in each individual’spotential 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
Beware of Job Scams
Please beware of potentially fraudulent job postingsor suspicious recruiting activity by persons that are currently posing asSiemens Healthineers recruiters/employees. These scammers may attempt tocollect your confidential personal or financial information. If you areconcerned that an offer of employment with Siemens Healthineers might be a scamor that the recruiter is not legitimate, please verify by searching for theposting on the Siemens Healthineers Career Site.
“Successful candidatemust be able to work with controlled technology in accordance with US exportcontrol law.” “It is Siemens Healthineers’ policy to comply fully andcompletely with all United States export control laws and regulations,including those implemented by the Department of Commerce through the ExportAdministration Regulations (EAR), by the Department of State through theInternational Traffic in Arms Regulations (ITAR), and by the TreasuryDepartment through the Office of Foreign Assets Control (OFAC) sanctionsregulations.”
As an equal opportunity employer, we welcome applicationsfrom individuals with disabilities.
We care about yourdata privacy and take compliance with GDPR as well as other data protectionlegislation seriously. For this reason, we ask you not to send us your CV orresume by email. Please create a profile within our talentcommunity and subscribe to personalized job alert that will keep you postedabout new opportunities.
To all recruitmentagencies:
Siemens Healthineers’recruitment is internally managed, with external support permitted only when aqualified supplier has established a formal contract with us. Unsolicitedcandidate submissions and referrals, absent a current supplier contract, do notestablish consent and are ineligible for fees. We delete and destroyunsolicited information, thus, would recommend you refrain from any suchpractices. Your adherence to our policies is appreciated.
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.
Reasonable Accommodations
If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form If you’re unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.
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.
Amazon Web Services is looking for experienced Security Engineers to join the Security Analytics and AI Research group within AWS...
How to applyAmazon is looking for a passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build...
How to applyMicrosoft Research New York City (MSR NYC) is seeking applicants for multiple postdoctoral researcher positions in machine learning (ML) and...
How to applyCompany Description At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s...
How to applySummary The Data and Machine Learning Innovation team focuses on innovative technologies,methodologies, and research to enable amazing user experiences and...
How to applyCareer CategoryPostdoctoralJob Description HOW MIGHT YOU DEFY IMAGINATION? You’ve worked hard to become the professional you are today and are...
How to apply