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Ai Medical Imaging Internship Jobs (NOW HIRING)

Heartflow

Staff Data Scientist

San Francisco, CA · Hybrid

$220K - $280K/yr

AI & Medical Imaging: Expertise in deep learning and machine learning models in production. Strong experience working with medical imaging data (CT and vascular imaging) is highly preferred ...

Clera

Medical AI Researcher

San Francisco, CA · On-site

$150K - $230K/yr

As a Medical AI Researcher, you'll work directly with medical imaging companies preparing FDA submissions, owning customer engagements end-to-end: from defining evaluation questions to delivering ...

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How much do ai medical imaging internship jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for ai medical imaging internship in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is an AI medical imaging internship?

An AI Medical Imaging Internship is a role where interns apply artificial intelligence techniques to analyze and enhance medical images, such as X-rays, MRIs, and CT scans. Interns typically work with machine learning models to assist in disease detection, image segmentation, and diagnostic automation. They collaborate with healthcare professionals and data scientists to improve medical imaging accuracy and efficiency. This internship provides hands-on experience in deep learning, data preprocessing, and working with medical imaging datasets. It is ideal for students or researchers with a background in AI, computer vision, or biomedical engineering who want to gain practical experience in medical AI applications.

What are the key skills and qualifications needed to thrive in the AI medical imaging internship position, and why are they important?

To thrive as an AI Medical Imaging Intern, you need a solid foundation in computer science, machine learning concepts, and a basic understanding of medical imaging techniques, often backed by ongoing or completed coursework in these areas. Familiarity with programming languages such as Python, experience using libraries like TensorFlow or PyTorch, and exposure to medical imaging platforms (e.g., DICOM viewers) are commonly required. Strong analytical skills, teamwork, and effective communication help you work collaboratively with clinicians, researchers, and fellow engineers. These skills allow you to contribute meaningfully to innovative healthcare solutions while ensuring accuracy and efficiency in this interdisciplinary environment.

What types of projects or tasks will I work on during an AI medical imaging internship?

As an AI Medical Imaging Intern, you may assist with developing and validating machine learning algorithms for tasks like image classification, segmentation, or anomaly detection in medical scans. Interns often help preprocess large imaging datasets, annotate or label images for training AI models, and run experiments to assess algorithm performance. You’ll likely collaborate closely with data scientists, radiologists, and software engineers, gaining insight into how AI is integrated into healthcare workflows. This hands-on experience provides a valuable opportunity to learn about the challenges of medical data, regulatory considerations, and the deployment of advanced technologies in real clinical settings.

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Ai Medical Imaging Internship jobs near you
Infographic showing various Ai Medical Imaging Internship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Partnership Business Development Manager (Global - Medical Imaging & Embedded Systems)

OMNIVISION

Santa Clara, CA • Hybrid

$150K - $190K/yr

Full-time

Re-posted 20 days ago

Job description

Role Overview
This role drives global partnership development across the medical (imaging and embedded) systems ecosystem. You will build and manage relationships with semiconductor companies, software vendors, innovation partners and medical device manufacturers.
Unlike a pure BD role, this position requires strong, proven technical design experience—enabling you to engage credibly with engineering teams, influence product direction, and translate complex technologies into commercial opportunities.
You will convert partner roadmaps and market trends into actionable insights for Product Marketing and Executive Management. The role requires ~25–30% travel.
 
Key Responsibilities
Global Partnerships & Business Development (Primary – ~70%)
  • Identify growth opportunities, innovations and trends in medical, dental and health monitoring markets
  • Build and manage strategic relationships with semiconductor vendors, embedded platform providers, computer vision, AI and AR ecosystem partners
  • Identify and execute partnership opportunities that drive design wins and revenue growth
  • Engage deeply with partner engineering teams to align on architectures, integration, and product roadmaps to ensure our medical imaging solutions are "first-in-line" for integration
  • Analyse partner roadmaps, technology trends, and competitive landscape; deliver clear insights to Product Marketing and Executive teams
  • Represent the company in customer engagements, partner reviews, and industry events
Market Expansion & Strategic Initiatives (Secondary – ~30%)
  • Identify emerging technologies and partnership for expansion into adjacent markets including Dental Imaging, Medical AI, Medical AR, Health Monitoring, Multispectral Imaging etc.
  • Contribute to global go-to-market strategies
 
Qualifications & Experience
Technical Expertise (Non-negotiable)
  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Biomedical Engineering or related field
  • 5–10 years of hands-on experience in:
  • Embedded systems design
  • Semiconductor or SoC platforms
  • Imaging / Image Signal Processing (ISP) or Computer Vision
  • Medical devices or regulated hardware systems (strong plus)
  • Strong understanding of system architecture, algorithms. including hardware-software integration
Preferred Technical Depth
  • Exposure to DSP, AI/ML, or vision processing pipelines
  • Familiarity with optics, image sensor, image signal processing and camera systems
Commercial & Leadership Skills
  • Proven track record in business development, technical marketing, or product-facing roles
  • Ability to influence both technical and commercial stakeholders
  • Strong communication skills—able to translate engineering detail into business value
  • Demonstrated ability to operate in a global, cross-functional environment
What This Role Is (and Isn’t)
  • Is:  A hybrid technical + commercial role requiring credibility with engineers and partners
  • Isn’t:  A pure sales role or a purely academic/engineering position
Success Metrics
  • Identification of key medical imaging growth areas
  • Number and quality of strategic partnerships and design wins
  • Contribution to revenue pipeline and new market entry
  • Impact of partner insights on product and roadmap decisions

Annual base salary for this role in California, US is expected to be between  $150,000 - $190,000. Actual pay will be determined on a number of factors such as relevant skills and experience, and the pay of employees in the similar role.


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