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3D Medical Imaging Post Processing Jobs (NOW HIRING)

... post-doctoral or industry experience developing AI/ML for medical imaging (CT, MRI, PET) in a ... DICOM I/O, visualization, registration, harmonization, annotation, and segmentation of 3D medical ...

... process of anatomically accurate 3D medical models, from conception to delivery to create high ... imaging (MRI) scans, and other relevant data to better understand clinical presentation of ...

3D Artist II

Naples, FL ยท On-site

... process of anatomically accurate 3D medical models, from conception to delivery to create high ... imaging (MRI) scans, and other relevant data to better understand clinical presentation of ...

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3D Medical Imaging Post Processing information

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$75K

$121.1K

$170.5K

How much do 3d medical imaging post processing jobs pay per year?

As of Jul 14, 2026, the average yearly pay for 3d medical imaging post processing in the United States is $121,116.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $134,500.00 per year, depending on experience, location, and employer.

What is the highest paying medical imaging career?

In medical imaging, radiologists typically have the highest salaries due to their advanced training and specialization. Other high-paying roles include nuclear medicine physicians and certain interventional radiologists, especially those with subspecialty certifications and extensive experience.

What are some common daily responsibilities for professionals working in 3D Medical Imaging Post Processing?

Professionals in 3D Medical Imaging Post Processing are responsible for reconstructing and enhancing medical images from raw data, creating 3D visualizations to assist radiologists and clinicians with diagnosis and treatment planning. Daily tasks often include processing CT or MRI scans, annotating and segmenting anatomical structures, troubleshooting imaging artifacts, and ensuring image quality. The role frequently involves collaborating closely with radiologists, technologists, and sometimes surgeons, to customize images for specific clinical needs. Staying current with evolving imaging technologies and software updates is also an important part of the job.

Is AI going to take over medical imaging jobs?

For 3D Medical Imaging Post Processing, AI is a tool that enhances efficiency and accuracy but is not expected to fully replace professionals. It automates tasks like segmentation and analysis, allowing specialists to focus on complex decision-making and interpretation. Human expertise remains essential for quality control, diagnosis, and integrating imaging data with clinical context.

What is post processing in medical imaging?

In 3D Medical Imaging Post Processing, post processing refers to the digital manipulation and analysis of raw imaging data, such as CT or MRI scans, to enhance image quality, extract relevant features, and generate detailed 3D models. This process often involves specialized software and technical skills to assist clinicians in diagnosis, treatment planning, and visualization. Accurate post processing is essential for producing clear, precise images that support medical decision-making.

What is 3D post processing?

3D medical imaging post processing involves converting raw data from imaging modalities like CT or MRI into detailed three-dimensional visualizations. This process includes segmentation, rendering, and analysis to assist in diagnosis and treatment planning, often using specialized software and requiring technical skills in image manipulation.

What are the key skills and qualifications needed to thrive in the 3D Medical Imaging Post Processing position, and why are they important?

To thrive in 3D Medical Imaging Post Processing, you need a solid understanding of human anatomy, medical imaging modalities (such as CT, MRI), and expertise in image post-processing techniques, typically supported by education in radiologic technology or biomedical engineering. Familiarity with advanced imaging software like Siemens syngo.via, GE AW, or Philips IntelliSpace Portal, and relevant certifications in medical imaging, are essential. Attention to detail, analytical thinking, and effective communication are key soft skills for producing accurate, clinically relevant 3D visualizations and collaborating with radiologists and clinicians. These competencies are vital for ensuring that processed images meet diagnostic standards and support optimal patient care decisions.

What is a 3D Medical Imaging Post Processing job?

A 3D Medical Imaging Post Processing job involves enhancing and reconstructing medical images, such as CT and MRI scans, to create detailed 3D models for diagnostic and surgical planning. Professionals in this role use specialized software to segment, analyze, and optimize images for improved visualization. Their work aids radiologists, surgeons, and other healthcare professionals in better understanding patient anatomy. This process enhances diagnostic accuracy and supports customized treatment planning. Strong technical skills and knowledge of medical imaging modalities are essential for this role.

What cities are hiring for 3D Medical Imaging Post Processing jobs? Cities with the most 3D Medical Imaging Post Processing job openings:
What are the most commonly searched types of 3D Medical Imaging Post Processing jobs? The most popular types of 3D Medical Imaging Post Processing jobs are:
What states have the most 3D Medical Imaging Post Processing jobs? States with the most job openings for 3D Medical Imaging Post Processing jobs include:
Infographic showing various 3D Medical Imaging Post Processing job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $121,116 per year, or $58.2 per hour.

Principal Scientist, Imaging Analytics

Johnson & Johnson Innovative Medicine

New Brunswick, NJ โ€ข On-site

Full-time

Retirement

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Overview

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.

Our Credo and Environment

Guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us worldwide. We provide an inclusive work environment where each person is considered an individual. We respect the diversity and dignity of our employees and recognize their merit.

Job Details

Job Function: Data Analytics & Computational Sciences

Job Sub Function: Data Science

Job Category: Scientific/Technology

All Job Posting Locations: Cambridge, MA; New Brunswick, NJ; Raritan, NJ; Spring House, PA

Job Description

About Innovative Medicine. Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine.

We are seeking a Principal Scientist, Imaging Analytics to join Interventional Oncology (INTO) and lead the scientific application of medical imaging artificial intelligence across our early-phase oncology portfolio. You will transform routinely collected oncology trial scans (CT, MRI, PET) into earlier, evidence-based clinical-development decisions. You will advance foundational imaging-AI capabilities, develop novel quantitative imaging metrics, and deliver insights that enhance response assessment, dose optimization, and go/no-go decisions.

This is a high-impact, high-visibility role for a scientist who is passionate about translating cutting-edge imaging AI from research into real-world clinical impact. You will serve as a scientific bridge across data science, clinical development, and external partners.

This position can be based in New Brunswick/Raritan, NJ; Spring House/Horsham, PA; or Boston, MA.

Key Responsibilities
  • Lead end-to-end AI applications on trial imaging data (CT, MRI, PET) for quantitative imaging measures and AI-derived endpoints.
  • Collaborate internally and externally to drive scientific innovation in foundational imaging AI relevant to oncology drug development, including automated segmentation, radiomics, and multimodal predictive modeling through hands-on research.
  • Translate imaging-derived evidence into actionable insights by converting complex quantitative findings into clear scientific narratives and engaging cross-functional stakeholders.
  • Provide scientific leadership to external partnerships โ€” including imaging AI vendors, CROs, biomarker companies, academic centers, and imaging OEMs โ€” to accelerate model development, validation, and deployment.
  • Publish and present scientific innovation at top scientific and clinical conferences (e.g., MICCAI, AACR, RSNA, etc.).
Required Knowledge, Skills and Abilities
  • Ph.D. in Computer Science, Biomedical Engineering, Electrical Engineering, or a related quantitative field.
  • 3+ years of post-doctoral or industry experience developing AI/ML for medical imaging (CT, MRI, PET) in a clinical setting.
  • Hands-on expertise across the medical imaging AI stack: deep learning (segmentation, detection, classification, registration), radiomics, and multimodal predictive modeling.
  • Proficiency in Python and PyTorch, with practical experience in medical-imaging libraries such as MONAI, SimpleITK, ITK, PyRadiomics, nnU-Net, 3D Slicer, and OpenCV.
  • Experience with cloud ML infrastructure and MLOps practices for scalable training and inference on imaging data.
  • Extensive experience with the full imaging data workflow: DICOM I/O, visualization, registration, harmonization, annotation, and segmentation of 3D medical images.
  • Strong peer-reviewed publication record and demonstrated ability to communicate complex scientific concepts to both technical and cross-functional audiences.
Preferred
  • Experience in analyzing solid-tumor imaging, particularly lung and head & neck (H&N).
  • Track record of developing and applying AI/ML to oncology imaging and within oncology clinical trials.
  • Familiarity with standard oncology endpoints (e.g., RECIST 1.1, iRECIST, PERCIST).
  • Experience building and scaling clinical or imaging AI platforms end-to-end, including data ingestion, harmonization, model inference, visualization, and continuous monitoring.
  • Experience in sourcing, structuring, and managing external partnerships with imaging-AI vendors, CROs / imaging core labs, biomarker companies, and academic centers.
Equal Opportunity and Benefits

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicantsโ€™ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.

Compensation and Benefits

The anticipated base pay range for this position is $117,000.00 - $201,250.00.

Subject to the terms of their respective plans, employees are eligible to participate in the Companyโ€™s consolidated retirement plan (pension) and savings plan (401(k)).

Benefits

Benefits include time off and other programs, subject to policy terms and eligibility dates. See company benefits information at https://www.careers.jnj.com/employee-benefits.

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