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Medical Image Processing Engineer Jobs in New York

Motorola

Senior Embedded Software Engineer

Melville, NY

$126K - $166K/yr

Familiarity with image processing techniques, libraries, or frameworks. * Camera Systems ... Incentive Bonus Plans * Medical, Dental, Visionbenefits * 401K with Company Match * 10 Paid ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

A Ph.D. or equivalent degree in Medical Physics, Physics, Biomedical Engineering, Electrical ... image segmentation/registration/synthesis), medical image reconstruction, computer-aided cancer ...

Meta

Computer Vision Engineer

New York, NY

$154K/yr

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

Next Step Systems

Process Engineer

New York, NY · On-site

Benefits include medical insurance, retirement plan, PTO, etc. Salary: 80K+ DOE. Keywords: New York City NY Jobs, Process Engineer, Alteryx, Signavio, Process Improvement, Asset Management, Process ...

Ataraxis AI

Sales Engineer

New York, NY · On-site

$100K - $180K/yr

Bonus: data viz (Recharts), rich-text (Tiptap), or medical image viewers (OpenSeaDragon) * Backend ... Async/background job processing (Google Cloud Tasks) * Cloud & DevOps * Hands-on Google Cloud ...

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Medical Image Processing Engineer information

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How much do medical image processing engineer jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for medical image processing engineer in New York is $68.47, according to ZipRecruiter salary data. Most workers in this role earn between $56.83 and $73.12 per hour, depending on experience, location, and employer.

What are some common challenges faced by Medical Image Processing Engineers when working with diverse imaging modalities?

Medical Image Processing Engineers often need to adapt algorithms and workflows to handle differences in data quality, resolution, and artifacts across modalities such as MRI, CT, and ultrasound. Managing large datasets and ensuring interoperability between imaging systems can also present technical hurdles. Additionally, maintaining compliance with healthcare regulations and ensuring patient data privacy adds complexity to their daily tasks. Collaboration with clinicians and radiologists is vital to accurately interpret results and validate software tools in real clinical settings.

What are the key skills and qualifications needed to thrive as a Medical Image Processing Engineer, and why are they important?

A Medical Image Processing Engineer should have a solid background in computer science, biomedical engineering, or a related field, with expertise in image analysis, machine learning, and signal processing. Familiarity with programming languages such as Python or C++, and experience with medical imaging software (e.g., MATLAB, ITK, or 3D Slicer), as well as relevant certifications, are highly valuable. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and translating clinical needs into technical solutions. These competencies are essential for developing accurate, efficient imaging solutions that support diagnosis, treatment, and research in healthcare.

What is the difference between Medical Image Processing Engineer vs Medical Software Developer?

AspectMedical Image Processing EngineerMedical Software Developer
Required CredentialsBachelor's or Master's in Biomedical Engineering, Computer Science, or related fields; knowledge of image processing and medical imaging standardsBachelor's or Master's in Software Engineering, Computer Science; programming skills; understanding of medical software regulations
Work EnvironmentHospitals, research labs, medical device companies, R&D departmentsHealthcare IT firms, medical device companies, hospitals, software development firms
Employer & Industry UsageDevelops algorithms for medical images like MRI, CT; focuses on image enhancement, segmentationCreates medical applications, electronic health records, clinical software solutions

The Medical Image Processing Engineer specializes in developing algorithms and software for analyzing and enhancing medical images, often working with imaging modalities like MRI and CT. In contrast, the Medical Software Developer designs broader healthcare applications, including electronic health records and clinical management systems. Both roles require programming skills and familiarity with medical standards but focus on different aspects of medical technology.

What does a Medical Image Processing Engineer do?

A Medical Image Processing Engineer develops and implements algorithms and software for analyzing medical images such as X-rays, MRIs, CT scans, and ultrasounds. Their work helps improve image quality, automate diagnosis, and assist healthcare professionals in interpreting medical data. They collaborate with radiologists, biomedical engineers, and software developers to create tools that enhance patient care and medical research. This role requires expertise in image processing, machine learning, and knowledge of medical imaging technologies.
What are popular job titles related to Medical Image Processing Engineer jobs in New York? For Medical Image Processing Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Medical Image Processing Engineer jobs in New York look for? The top searched job categories for Medical Image Processing Engineer jobs in New York are:
Medical Image Processing Engineer jobs near you
Infographic showing various Medical Image Processing Engineer job openings in New York as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $142,411 per year, or $68.5 per hour.

Principal Data Scientist, Medical Imaging

Formation Bio

New York, NY • On-site

$204K - $267K/yr

Other

Re-posted 11 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

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