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Deep Learning Medical Imaging Computer Vision Jobs

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Deep Learning Medical Imaging Computer Vision information

What is deep learning in medical imaging and computer vision?

Deep learning in medical imaging and computer vision refers to the use of advanced neural network algorithms to automatically analyze and interpret medical images such as X-rays, MRIs, and CT scans. These methods can detect patterns, highlight abnormalities, and assist radiologists in diagnosing diseases with high accuracy. Computer vision techniques enable automated image segmentation, classification, and detection tasks, which can improve diagnostic workflows and patient outcomes. Deep learning models require large annotated datasets and significant computational resources, but they have shown remarkable success in various medical imaging applications.

What are the key skills and qualifications needed to thrive as a Deep Learning Medical Imaging Computer Vision Specialist, and why are they important?

To excel in Deep Learning Medical Imaging Computer Vision, you need a strong background in computer science, mathematics, and medical imaging, often supported by a graduate degree in a related field. Expertise with machine learning frameworks (such as TensorFlow or PyTorch), image processing tools, and experience with medical imaging standards like DICOM are typically required. Strong analytical thinking, problem-solving skills, and effective interdisciplinary communication set top candidates apart. These capabilities are crucial for developing accurate, reliable AI solutions that enhance diagnostic processes and improve patient outcomes.

What are some typical challenges faced by professionals working in Deep Learning for Medical Imaging Computer Vision?

Professionals in this field often encounter challenges such as limited availability of high-quality, annotated medical imaging data and the need to ensure model generalizability across diverse patient populations and imaging devices. Navigating strict regulatory requirements and maintaining patient privacy are also key concerns. Additionally, collaborating closely with radiologists and clinicians to interpret results and validate model outputs is essential, as is staying current with rapid advancements in both AI techniques and medical imaging technology.

What is the difference between Deep Learning Medical Imaging Computer Vision vs Medical Imaging Technologist?

AspectDeep Learning Medical Imaging Computer VisionMedical Imaging Technologist
Required CredentialsAdvanced degrees in computer science, AI, or related fields; certifications in AI/MLAssociate's or Bachelor's degree in radiologic technology; state licensure
Work EnvironmentResearch labs, tech companies, hospitals for AI developmentHospitals, clinics, imaging centers performing scans and procedures
Industry UsageDevelops algorithms for image analysis, diagnosis supportOperates imaging equipment, captures diagnostic images
Search & Comparison IntentUnderstanding AI roles in medical imagingTechnical imaging procedures and patient care

Deep Learning Medical Imaging Computer Vision focuses on developing AI algorithms to analyze medical images, while Medical Imaging Technologists operate imaging equipment to produce diagnostic images. Both roles are essential in healthcare but differ in credentials, work environment, and industry application.

Infographic showing various Deep Learning Medical Imaging Computer Vision job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 75% In-person, and 25% Hybrid job distribution.
Sr Image Processing & Computer Vision Engineer (MedTech, ophthalmology, or precision imaging doma...

Sr Image Processing & Computer Vision Engineer (MedTech, ophthalmology, or precision imaging doma...

Lorven Technologies

Dublin, CA • On-site

$117K - $161K/yr

Full-time

Posted 2 days ago


Job description

Role: Sr Image Processing & Computer Vision Engineer (MedTech, ophthalmology, or precision imaging domain)
Location: Plano TX / Dublin CA
We are seeking a highly experienced Senior Image Processing & Computer Vision Engineer with 8-10 years of industry experience, preferably within the MedTech, ophthalmology, or precision imaging domain (e.g., ZEISS, Leica, or similar).
The ideal candidate will lead advanced imaging algorithm development, own end-to-end computer vision pipelines, and collaborate closely with product and hardware teams to deliver cutting-edge medical imaging solutions.
Required Qualifications
  • Bachelor's/Master's/PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Applied Physics, or related fields.
  • 8-10 years of hands-on industry experience in image processing and computer vision.
  • Strong expertise in:
  • Image processing fundamentals (filters, transforms, reconstruction)
  • Deep learning (CNNs, U-Nets, Vision Transformers)
  • Geometric vision, 3D reconstruction, and calibration
  • Classical CV (feature extraction, registration, tracking)
  • Proficiency in:
  • Python, C++, OpenCV, MATLAB
  • Deep learning frameworks (PyTorch or TensorFlow)
  • GPU programming (CUDA, TensorRT preferred)
  • Experience with medical imaging technologies (preferred but not mandatory):
  • Ophthalmic imaging (OCT, fundus)
  • Microscopy
  • Radiology modalities (CT/MRI/X-ray/Ultrasound)
  • Optical systems and image formation concepts

Preferred Experience
  • Prior experience with companies like ZEISS, Leica, Topcon, Canon Medical, or similar imaging-focused MedTech organizations.
  • Experience working in regulated environments (FDA, CE, ISO standards).
  • Knowledge of MLOps or model deployment on edge devices.
  • Strong mathematical foundation in linear algebra, optimization, and signal processing.

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About Lorven technologies

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Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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