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3D Rendering Medical Imaging Jobs in New York (NOW HIRING)

Leverage modern design tools (Adobe Creative Suite, 3D rendering, and AI programs like Adobe ... We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our ...

Advanced proficiency in 3D rendering and modeling software (specifically Rhino and KeyShot) with an ... In addition, Cella by randstad digital offers a comprehensive benefits package, including: medical ...

... imaging and pediatrics. The nursing team at St. Joseph's University Medical Center, which includes ... Direct the activities of medical and other personnel engaged in rendering medical or surgical ...

Skilled in image display and post-processing, including 3D rendering, multiplanar reconstruction ... Perform CT imaging across adult and pediatric acute care, outpatient, ED, and ICU settings * Work ...

Direct the activities of medical and other personnel engaged in rendering medical or surgical ... imaging and pediatrics. The nursing team at St. Joseph's University Medical Center, which includes ...

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3D Rendering Medical Imaging information

What is the difference between 3D Rendering Medical Imaging vs Medical Illustrator?

Aspect3D Rendering Medical ImagingMedical Illustrator
CredentialsOften requires degrees in radiology, medical imaging, or related fields; certifications in imaging softwareTypically holds degrees in medical illustration, art, or related fields; certifications in graphic design or illustration
Work EnvironmentHospitals, imaging centers, medical device companiesMedical publishing, educational institutions, healthcare marketing
Industry UsageUsed for diagnostic visualization, surgical planning, and medical device developmentUsed for educational materials, patient information, and medical publications

While both roles involve visual representation of medical concepts, 3D Rendering Medical Imaging focuses on creating detailed, accurate 3D visualizations from medical scans for diagnostic and planning purposes. Medical Illustrators produce educational and promotional visuals, often combining artistic skills with medical knowledge. The key difference lies in their primary application and technical focus.

What are some common challenges faced when working with 3D rendering in medical imaging, and how can they be addressed?

Professionals in 3D rendering for medical imaging often encounter challenges such as processing large, complex datasets and ensuring accurate representation of anatomical structures. These challenges can be addressed by staying updated with the latest software advancements, collaborating closely with radiologists for clinical validation, and maintaining strong attention to detail. Additionally, effective communication with multidisciplinary teams is crucial to ensure that rendered images meet diagnostic and educational needs. Regular training and participation in workshops can also help in mastering new tools and techniques.

What is 3D rendering in medical imaging?

3D rendering in medical imaging is the process of creating three-dimensional visual representations of structures inside the body, using data collected from imaging techniques such as CT scans or MRIs. This technique allows healthcare professionals to view anatomical features from different angles and to better understand complex structures, which can improve diagnosis, treatment planning, and patient communication. 3D rendering can also be used in surgical planning, education, and research, making it a valuable tool in modern medicine.

What are the key skills and qualifications needed to thrive as a 3d rendering medical imaging specialist, and why are they important?

To thrive as a 3D Rendering Medical Imaging Specialist, you need expertise in medical imaging modalities (such as CT, MRI), anatomy, and image post-processing, typically supported by a degree in radiology, biomedical engineering, or a related field. Familiarity with advanced visualization software (like OsiriX, 3D Slicer, or Mimics), DICOM standards, and possibly certifications in radiologic technology are crucial. Strong attention to detail, problem-solving abilities, and effective communication with healthcare teams set top performers apart. These skills ensure accurate, high-quality visualizations that aid clinical decision-making and improve patient outcomes.

What are popular job titles related to 3D Rendering Medical Imaging jobs in New York?

For 3D Rendering Medical Imaging jobs in New York, the most frequently searched job titles are:

What job categories do people searching 3D Rendering Medical Imaging jobs in New York look for?

The top searched job categories for 3D Rendering Medical Imaging jobs in New York are:

What cities in New York are hiring for 3D Rendering Medical Imaging jobs?

Cities in New York with the most 3D Rendering Medical Imaging job openings:

Infographic showing various 3D Rendering Medical Imaging job openings in New York as of August 2026, with employment types broken down into 63% Full Time, and 37% Part Time. Highlights an 100% In-person job distribution.

Principal Data Scientist, Medical Imaging

Formation Bio

New York, NY

$204K - $267K/yr

Full-time

Re-posted 27 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