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Internship Medical Image Processing Jobs in New York

Background in computer vision, classical image processing, and 2D/3D spatial data analysis ... related medical conditions), sexual orientation, gender, gender identity, gender expression ...

CT Technologist

New Rochelle, NY · On-site

$43.50/hr

Ability to work in parallel so that, nursing, medical, and technological staff are efficient ... Photographing and processing of images: this task includes photographing and labeling scan image ...

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Internship Medical Image Processing information

What are the key skills and qualifications needed to thrive as an internship in medical image processing, and why are they important?

To thrive as an Internship Medical Image Processing, you need a strong foundation in biomedical engineering, computer science, or a related field, along with knowledge of image analysis concepts. Familiarity with programming languages such as Python or MATLAB, and experience with image processing libraries (e.g., OpenCV, ITK) or machine learning frameworks are typically required. Strong analytical thinking, attention to detail, and the ability to communicate technical findings clearly are important soft skills. These abilities enable interns to effectively process and interpret medical images, contributing to advancements in diagnostics and patient care.

What types of projects or tasks can I expect to work on during a medical image processing internship?

As a Medical Image Processing intern, you'll typically work on projects involving the analysis, enhancement, and interpretation of medical images such as MRI, CT, or ultrasound scans. Common tasks include developing or testing image processing algorithms, annotating datasets, and using software tools like MATLAB or Python for data analysis. You may also collaborate with research teams, radiologists, or software engineers to support ongoing studies or product development. This hands-on experience helps you build practical skills and gain exposure to cutting-edge medical technology.

What is the difference between Internship Medical Image Processing vs Medical Imaging Technician?

AspectInternship Medical Image ProcessingMedical Imaging Technician
CredentialsTypically pursuing or recent graduate in medical imaging, biomedical engineering, or related fieldsCertification or associate degree in radiologic technology or related field
Work EnvironmentResearch labs, hospitals, or academic settings; focus on data analysis and software developmentHospitals, clinics; operating imaging equipment and capturing images
Job FocusDeveloping algorithms, processing medical images, research projectsPerforming imaging procedures, maintaining equipment, ensuring image quality

Internship Medical Image Processing roles focus on developing and analyzing medical images through software, often in research or academic settings. Medical Imaging Technicians operate imaging equipment directly with patients, focusing on capturing diagnostic images. Both roles require knowledge of medical imaging but differ in responsibilities, environment, and career stage.

What is an internship in medical image processing?

An Internship in Medical Image Processing is a temporary position, often for students or recent graduates, that provides hands-on experience working with medical imaging data and related technologies. Interns typically assist with tasks such as analyzing medical images, developing or testing image processing algorithms, and supporting research projects in clinical or academic settings. This role offers the opportunity to learn about advanced imaging modalities (like MRI, CT, or X-ray), gain programming experience, and contribute to improving healthcare diagnostics. Internships may also include mentorship from experienced professionals and exposure to the latest software tools in the field.
What are the most commonly searched types of Medical Image Processing jobs in New York? The most popular types of Medical Image Processing jobs in New York are:
What cities in New York are hiring for Internship Medical Image Processing jobs? Cities in New York with the most Internship Medical Image Processing job openings:
Infographic showing various Internship Medical Image Processing job openings in New York as of June 2026, with employment types broken down into 76% Full Time, 17% Part Time, 5% Temporary, and 2% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

Principal Data Scientist, Medical Imaging

Formation Bio

New York, NY

$204K - $267K/yr

Other

Re-posted 19 days ago


Job description

About the Position

As a Principal Data Scientist - Medical Imaging at Formation Bio, you will lead our efforts to integrate advanced imaging analytics and AI into our drug development pipeline. In this role, you'll pioneer the application of computer vision and deep learning to medical imaging data (MRI, X-ray, CT, PET) to accelerate clinical trials and improve patient outcomes. You'll develop state-of-the-art models for automated image analysis, disease progression monitoring, and treatment response assessment. Working closely with clinical teams, radiologists, and drug development experts, you'll translate complex imaging data into actionable insights that drive key decisions across our portfolio. This position offers a unique opportunity to revolutionize how medical imaging is leveraged in pharmaceutical development while directly impacting patient care.

Responsibilities

  • Lead the development of advanced deep learning models for medical image analysis, focusing on MRI and X-ray modalities for clinical trial applications
  • Design and implement automated image processing pipelines for disease detection, segmentation, and quantification across multiple therapeutic areas
  • Create innovative approaches for longitudinal image analysis to track disease progression and treatment efficacy in clinical trials, incl. AI-based biomarkers and surrogate endpoints
  • Collaborate with clinical operations to integrate imaging AI solutions into trial protocols and workflows
  • Partner with regulatory teams to ensure imaging biomarkers and AI models meet FDA standards for clinical trial endpoints
  • Build scalable infrastructure for processing and analyzing large-scale medical imaging datasets from multi-site clinical trials
  • Present imaging insights and model performance to executive leadership and external partners

About You

Required Qualifications 

  • PhD in Computer Science, Biomedical Engineering, Medical Physics, or related field with focus on medical imaging
  • 5+ years of post-PhD industry experience developing production-grade AI models for medical imaging applications
  • Deep expertise in computer vision and deep learning architectures (CNNs, U-Net, Vision Transformers) for medical image analysis
  • Proven track record with MRI and X-ray image analysis, including hands-on experience with DICOM standards and medical imaging software
  • Strong programming skills in Python with expertise in PyTorch/TensorFlow and medical imaging libraries
  • Demonstrated ability to collaborate with radiologists and clinical teams to translate medical insights into technical solutions
  • Strong communication skills with proven ability to present complex imaging analytics to diverse stakeholders

Preferred Qualifications 

  • Experience with regulatory submissions involving imaging endpoints or AI-based image analysis tools
  • Experience with multi-modal imaging fusion and analysis (combining MRI, CT, PET data)
  • Knowledge of clinical trial design and experience with imaging core lab operations
  • Experience with federated learning or privacy-preserving techniques for medical imaging
  • Understanding of radiomics and quantitative imaging biomarker development
  • Experience with 3D image reconstruction and volumetric analysis

Total Compensation Range: $204,500 - $267,000