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Medical Imaging Segmentation Jobs (NOW HIRING)

Gehc

Director of Engineering, Architecture

Chicago, IL

$164K - $246K/yr

This platform enables AI-powered medical imaging, real-time visualization, and enterprise-scale ... Experience with AI-enabled imaging capabilities such as image segmentation, image enhancement ...

NUC S.A.I.

Sales Director

Boston, MA · On-site +1

... medical centers, and independent imaging facilities * Develop and refine positioning, messaging, and value propositions tailored to each customer segment and deal size * Map market channels and ...

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Medical Imaging Segmentation information

What are the key skills and qualifications needed to thrive as a medical imaging segmentation specialist, and why are they important?

To excel in Medical Imaging Segmentation, you need a solid background in biomedical engineering, computer science, or related fields, with expertise in image analysis and anatomy. Familiarity with medical imaging software (such as 3D Slicer or ITK-SNAP), programming languages (like Python), and machine learning frameworks is typically required. Attention to detail, strong problem-solving skills, and effective communication are critical soft skills for accurately interpreting images and collaborating with clinical teams. These skills ensure precise, reliable segmentation that supports diagnostics, research, and treatment planning in medical settings.

What are some common challenges faced in medical imaging segmentation roles, and how can they be addressed?

Professionals working in medical imaging segmentation often encounter challenges such as dealing with low-quality or noisy imaging data, anatomical variability among patients, and the need for precise delineation of structures. These challenges can be addressed by developing strong skills in image preprocessing, leveraging advanced segmentation algorithms (such as deep learning methods), and collaborating closely with radiologists or clinicians to validate results. Regular communication with multidisciplinary teams and staying updated with the latest research also help in overcoming these obstacles and improving segmentation accuracy.

What is medical imaging segmentation?

Medical imaging segmentation is the process of partitioning medical images, such as CT, MRI, or ultrasound scans, into meaningful regions or structures. This technique helps identify and isolate specific tissues, organs, or abnormalities, making it easier for clinicians to analyze and diagnose medical conditions. Segmentation can be done manually, semi-automatically, or automatically using advanced algorithms, including artificial intelligence. It is a critical step in many medical applications, such as treatment planning, disease monitoring, and surgical navigation.
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Medical Imaging Segmentation jobs near you
Infographic showing various Medical Imaging Segmentation job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution.

Director of Engineering, Architecture

Gehc

Chicago, IL

$164K - $246K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Job description

Job Description SummaryGE HealthCare is seeking a Director of Engineering, Architecture to lead the architecture and technical strategy for our next-generation Imaging Fabric platform. This platform enables AI-powered medical imaging, real-time visualization, and enterprise-scale performance across on-premises, edge, and cloud environments.
This role is responsible for defining enterprise architecture, driving platform modernization, and enabling the integration of AI capabilities into imaging products used by healthcare providers worldwide. The successful candidate is an accomplished technology leader with deep expertise in enterprise software architecture, high-performance distributed systems, and medical imaging platforms.
This is an applied AI architecture leadership role, focused on integrating AI capabilities into production imaging solutions rather than developing machine learning models.Job DescriptionRole Description
  • Define and execute the enterprise architecture strategy for the Imaging Fabric platform.
  • Lead the design of scalable, secure, and high-performance imaging solutions across on-premises, edge, and cloud environments.
  • Drive platform modernization through cloud-native architectures, distributed systems, and performance optimization.
  • Partner with Product Management and Engineering leaders to translate business strategy into scalable technical solutions.
  • Enable the adoption of AI-powered imaging capabilities including visualization, intelligent streaming, workflow optimization, and image analysis.
  • Establish architecture standards, technical governance, and engineering best practices.
  • Mentor senior architects and provide technical leadership across global engineering teams.
  • Drive cross-functional collaboration to deliver reliable, enterprise-grade healthcare platforms.

Must-Have Qualifications

  • 10+ years of experience designing and leading enterprise-scale software architectures.
  • Proven experience building high-performance, distributed systems in healthcare, medical imaging, or similarly complex technology environments.
  • Deep understanding of medical imaging platforms, including DICOM, PACS, and clinical imaging workflows.
  • Experience architecting scalable solutions across on-premises, edge, and public cloud environments (AWS, Azure, or Google Cloud).
  • Strong knowledge of distributed systems, microservices, Kubernetes, containerized applications, and cloud-native architectures.
  • Experience integrating AI capabilities into enterprise software platforms, including AI inference, image analysis, or intelligent workflow optimization.
  • Strong programming background in C++, Python, Java, or Go.
  • Demonstrated success leading senior technical teams, influencing architecture across organizations, and driving enterprise technology strategy.
  • Bachelor's degree in Computer Science, Engineering, Medical Imaging, or a related technical discipline, or equivalent practical experience.

Preferred Qualifications

  • Master's degree or PhD in Computer Science, Medical Imaging, Computational Imaging, Computer Graphics, or a related field.
  • Experience with advanced medical imaging technologies including rendering, visualization, image streaming, and large-scale imaging datasets.
  • Knowledge of GPU computing (CUDA or equivalent), parallel processing, and high-performance computing.
  • Experience with AI-enabled imaging capabilities such as image segmentation, image enhancement, intelligent streaming, or predictive data loading.
  • Familiarity with modern visualization techniques, scientific imaging, and enterprise healthcare platforms.
  • Experience mentoring senior architects and leading technical transformation across globally distributed engineering organizations.
Why GE HealthCare

At GE HealthCare, you'll help shape technologies that clinicians rely on every day to diagnose disease, guide treatment, and improve patient outcomes. You'll work alongside world-class engineers, architects, and product leaders to build scalable healthcare platforms that will define the future of medical imaging.

We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $164,000.00-$246,000.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.Additional Information

GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is anEqual Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.

Relocation Assistance Provided: No

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