Siemens Healthineers hiring Senior AI Scientist - Medical Imaging - Generative AI in Princeton, New Jersey, United States | LinkedIn (2024)

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, Princeton, NJ, USA as Senior AI Scientist: “Medical Imaging (Generative AI)”This is a role well suited to an ambitious professional, 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, be entrepreneurial in an environment that is more startup than big company.
• You will work with customers to understand algorithm and workflow requirements and deliver solutions.
• You will 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, including generating patents and publications in top journals and conferences.

This position may suit you best if you are familiar with what is below and would like to do develop your career with Healthineers.

• You have a Ph.D. in an engineering or science field such as Electrical Engineering, Computer Science, Medical Physics, Biomedical Engineering etc.
• Strong theoretical background and expertise in Medical Physics (esp. Ultrasound Physics), 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 addition you 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, Biomedical Engineering 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 you are 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 work and thrive in a fast-paced dynamic environment.
• You have very good presentation skills 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 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

Beware of Job ScamsPlease beware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as Siemens Healthineers recruiters/employees. These scammers may attempt to collect your confidential personal or financial information. If you are concerned that an offer of employment with Siemens Healthineers might be a scam or that the recruiter is not legitimate, please verify by searching for the posting on the Siemens Healthineers Career Site.

“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.

We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. Please create a profile within our talent community and subscribe to personalized job alert that will keep you posted about new opportunities.

To all recruitment agencies: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.

Equal Employment Opportunity StatementSiemens 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 AccommodationsIf 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 LawApplicants and employees are protected under Federal law from discrimination. To learn more, Click here.

Pay Transparency Non-Discrimination ProvisionSiemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here.

California Privacy NoticeCalifornia residents have the right to receive additional notices about their personal information. To learn more, click here.