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Post Processing Medical Imaging Jobs (NOW HIRING)

Medpace, Inc.

Medical Imaging Analyst

Denver, CO · On-site +1

$60K - $120K/yr

Perform quality assurance checks on medical imaging data collected during medical and device ... Perform established image processing techniques (converting imaging formats, contouring, performing ...

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What is a post processing medical imaging?

A Post Processing Medical Imaging job involves enhancing, analyzing, and reconstructing medical images using specialized software to aid in diagnosis and treatment planning. Professionals in this role work with imaging modalities like MRI, CT, and ultrasound to refine images for better clarity and accuracy. They collaborate closely with radiologists and physicians to ensure high-quality imaging results. This role requires expertise in medical imaging software, anatomy, and image processing techniques.

What are the typical daily responsibilities for someone in a post processing medical imaging role?

Professionals in Post Processing Medical Imaging are typically responsible for manipulating and enhancing medical images to assist radiologists and physicians with accurate diagnoses. Daily tasks include processing raw scan data, ensuring optimal image quality, creating 3D reconstructions or multiplanar reformats, and preparing data for review or surgical planning. They may coordinate closely with technologists, radiologists, and IT staff to troubleshoot technical issues and maintain workflow efficiency. This role often requires balancing multiple imaging requests, attention to precise protocols, and continual learning to keep up with advances in imaging software and techniques.

What are the key skills and qualifications needed to thrive in post processing medical imaging, and why are they important?

To thrive in Post Processing Medical Imaging, you need a solid background in medical imaging modalities (such as MRI, CT, or ultrasound), image analysis, and anatomy, often backed by a degree in radiologic technology or a related field. Expertise in post-processing software (like GE AW, Siemens syngo.via, or Philips IntelliSpace), DICOM standards, and sometimes certification from organizations such as ARRT or ARDMS is highly valued. Attention to detail, strong problem-solving abilities, and effective communication are important soft skills that distinguish top professionals in this field. These skills ensure high-quality image outputs for accurate diagnosis, facilitate collaboration with radiologists and physicians, and improve patient care outcomes.

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Post Processing Medical Imaging jobs near you
Infographic showing various Post Processing Medical Imaging job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.

Principal Data Scientist, Medical Imaging

New York, NY • On-site

Formation Bio
Biotechnology Research and Development • 51 - 200 employees
Learn more about Formation Bioexternal

$204K - $267K/yr

Full-time

Re-posted 29 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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