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Implementation Engineer- Medical Imaging Jobs

16 Job Offers

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Senior Machine Learning Engineer
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Germany , Berlin
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Mediaire
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Field Service Engineer - Image Guided Surgery (IGS)
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Netherlands , Amsterdam
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Brainlab
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Computer Vision & AI Scientist
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Italy , Lainate (Milan)
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Cosmo Intelligent Medical Devices
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Biomedical Engineer (Regional Clinical Specialist)
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United States , San Francisco
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65000.00 - 85000.00 USD / Year
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Brainlab
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Biomedical Engineer (Clinical Specialist)
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United States , Torrance
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65000.00 - 85000.00 USD / Year
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Brainlab
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Field Service Engineer - Image Guided Surgery
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Netherlands , Amsterdam
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Brainlab
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Clinical Applications Specialist
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United States , Chicago
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FOCAL ONE
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Biomedical Engineer (Clinical Specialist)
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United States , Lynchburg
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65000.00 - 85000.00 USD / Year
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Brainlab
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Biomedical Engineer (Clinical Specialist)
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United States , Baltimore
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65000.00 - 85000.00 USD / Year
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Brainlab
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Biomedical Engineer (Clinical Specialist)
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United States , Chattanooga
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65000.00 - 85000.00 USD / Year
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Brainlab
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Biomedical Engineer (Clinical Specialist)
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United States , Rochester
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65000.00 - 85000.00 USD / Year
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Brainlab
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Senior Image Processing Engineer
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United States
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PaxeraHealth
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Implementation Engineer- Medical Imaging
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United States
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PaxeraHealth
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Data Science Developer
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United States
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PaxeraHealth
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Sales Engineer - OR1 and Digital Solutions
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Canada , Montreal
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80000.00 - 90000.00 CAD / Year
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KARL STORZ
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Algorithm Engineer IV
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United States , Boston
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Beacon Biosignals
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Explore Implementation Engineer jobs in the dynamic field of Medical Imaging, a critical role at the intersection of healthcare, advanced technology, and patient care. Implementation Engineers specializing in medical imaging are the technical experts responsible for deploying, configuring, and integrating complex imaging software and systems within healthcare environments like hospitals and diagnostic centers. Their primary mission is to ensure that cutting-edge imaging technologies—such as Picture Archiving and Communication Systems (PACS), Radiology Information Systems (RIS), and AI-enhanced diagnostic tools—are successfully installed and operational, enabling clinicians to access and interpret vital patient images efficiently. Professionals in these jobs typically manage the end-to-end technical deployment lifecycle. Common responsibilities include conducting pre-installation system assessments, collaborating with IT and clinical staff to understand workflow requirements, and executing the on-site or remote installation of software applications. A core part of the role involves intricate systems integration, ensuring new imaging platforms seamlessly communicate with existing hospital IT ecosystems like Electronic Health Records (EHRs) and diagnostic modalities (MRI, CT scanners). This requires configuring and troubleshooting healthcare data standards, primarily DICOM for imaging and HL7 for clinical data exchange. Post-deployment, Implementation Engineers provide advanced technical support, user training, and system optimization, acting as a crucial bridge between the technology vendor and the healthcare provider. The typical skill set for these jobs is both broad and deep. A strong foundation in IT networking, server administration (Windows/Linux), and database management (e.g., SQL) is essential. Proficiency in healthcare integration protocols (DICOM, HL7, IHE) is a fundamental requirement, often coupled with experience using integration engines. Since the role is highly client-facing, exceptional problem-solving, communication, and project management skills are paramount. Implementation Engineers must translate complex technical details for non-technical clinical users while managing timelines and customer expectations. A bachelor’s degree in computer science, biomedical engineering, or a related field is commonly expected, along with several years of hands-on experience in healthcare IT or technical customer support. For those seeking a career that directly impacts modern medicine, Implementation Engineer jobs in medical imaging offer a unique opportunity to leverage technical expertise to improve diagnostic capabilities and, ultimately, patient outcomes.

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