Senior AI Scientist - Medical Imaging - Generative AI
: Job Details :


Senior AI Scientist - Medical Imaging - Generative AI

Siemens

Job Location : Princeton,NJ, USA

Posted on : 2024-10-18T05:07:51Z

Job Description :
Join us in pioneeringbreakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our inspiring and caring environment forms a globalcommunity that celebrates diversity and individuality. We encourage you to stepbeyond your comfort zone, offering resources and flexibility to foster yourprofessional and personal growth, all while valuing your uniquecontributions. 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-worldproblems, be entrepreneurial in an environment that is more startup than big company. · You will work with customers to understand algorithmand workflow requirements and deliver solutions. · You will conduct research, design, and implementdisruptive algorithms for solving inverse problems (beamforming, despeckling,deconvolution, super-resolution etc.) in UltrasoundImaging using Deep Learning methods, such as Generative AI (Diffusion). · You will be involved in fast prototyping, feasibilitystudies, specification, and implementation of medical imaging productcomponents. · 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 fieldsuch as Electrical Engineering, Computer Science, Medical Physics, BiomedicalEngineering etc. · Strong theoretical background and expertise in MedicalPhysics (esp. Ultrasound Physics), Imaging Science, Computational Imaging · 5+ years of experience (including Ph.D. study) and expertisein Machine Learning, Deep Learning, Inverse Problems · Strong publication record in Machine Learning, InverseProblems, Medical Imaging · You have experience with machine learning librariesTensorFlow, Keras),advanced deep neural network models and in addition you are familiar with imageprocessing in Python and C++ · Graduate research (and internship) experiences in MachineLearning, 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 asElectrical 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 andtherefore you are willing to learn about new software solutions. · Outstanding collaboration, interpersonal andcommunication (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 customerenvironment, and you show team orientation, communication skills and customerorientation. · You have the drive and motivation for careerdevelopment and open to taking on challenges. · Willing to travel up to 10% How wework: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 ofJob ScamsPlease 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 candidate must be able to work with controlledtechnology in accordance with US export control law.” “It is SiemensHealthineers' policy to comply fully and completely with all United Statesexport control laws and regulations, including those implemented by theDepartment of Commerce through the Export Administration Regulations (EAR), bythe 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 fromindividuals with disabilities.We care about your data privacy and take compliance with GDPR aswell as other data protection legislation seriously. For this reason, we askyou not to send us your CV or resume by email. Please create a profile withinour talent community and subscribe to personalized job alert that will keep youposted about new opportunities.The pay range for this positionis $148,000 - $160,000annually; however, base pay offered may vary depending on job-relatedknowledge, skills, and experience. The annual incentive target is 10% of base pay. Siemens Healthineers offers a variety of health and wellness benefitsincluding paid time off and holiday pay. Details regarding ourbenefits can be found here: This information is provided perthe required state Equal Pay Act. Base pay information is based on marketlocation. Applicants should apply via Siemens Healthineers external or internalcareers site.To allrecruitment agencies: Siemens Healthineers' recruitment is internally managed, withexternal support permitted only when a qualified supplier has established aformal contract with us. Unsolicited candidate submissions and referrals,absent a current supplier contract, do not establish consent and are ineligiblefor fees. We delete and destroy unsolicited information, thus, would recommendyou refrain from any such practices. Your adherence to our policies isappreciated. 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-###-####. 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.Job ID:426570Company:Siemens Medical Solutions USA, Inc.Organization:Siemens HealthineersJob Family:Research & DevelopmentExperience Level:Experienced ProfessionalFull Time / Part Time:Full-timeRemote vs Office:Office/Site onlyContract Type:PermanentDepartment:Research & Development
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