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Remote 3D Medical Imaging Post Processing Jobs in Draper, UT

... process. Your focus will be on identifying client needs, presenting tailored solutions, and closing ... Comprehensive benefits including medical, dental, vision, 401k, and paid time off * 100% remote ...

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Remote 3D Medical Imaging Post Processing information

What is a remote 3D medical imaging post processing specialist?

A Remote 3D Medical Imaging Post Processing Specialist is a professional who processes and enhances medical images, such as CT or MRI scans, into detailed 3D visualizations. They work offsite, often from home, using specialized software to reconstruct, segment, and annotate images for radiologists and physicians. Their work is crucial for accurate diagnosis, surgical planning, and treatment monitoring. This role requires strong technical skills, attention to detail, and knowledge of anatomy and imaging technology.

What are the key skills and qualifications needed to thrive as a remote 3D medical imaging post processing specialist, and why are they important?

To thrive in Remote 3D Medical Imaging Post Processing, you need a strong background in radiologic technology or medical imaging, with a relevant degree or certification such as ARRT or equivalent. Familiarity with advanced 3D post-processing software (e.g., OsiriX, GE AW, Siemens syngo.via) and PACS systems is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for accurately interpreting imaging data and collaborating with healthcare professionals. These competencies are vital to ensure precise diagnostic results and support clinical decision-making in a remote healthcare environment.

What are some common challenges faced by professionals in remote 3D medical imaging post processing, and how can they be addressed?

One common challenge in remote 3D medical imaging post processing is maintaining effective communication with radiologists and clinical teams, especially when clarifying imaging requirements or discussing complex cases. Additionally, ensuring secure and efficient access to large imaging datasets can sometimes present technical hurdles. Professionals can address these challenges by utilizing robust telehealth collaboration tools, adhering to strict data security protocols, and developing strong organizational skills to manage multiple cases concurrently. Regular virtual team meetings and ongoing training in new imaging software also help streamline workflows and maintain high-quality standards.

What is the difference between Remote 3D Medical Imaging Post Processing vs Remote 2D Medical Imaging Analysis?

AspectRemote 3D Medical Imaging Post ProcessingRemote 2D Medical Imaging Analysis
CredentialsRadiologic technologists, imaging specialists, certifications in 3D imagingRadiologic technologists, certifications in 2D imaging
Work EnvironmentRemote, hospital or imaging center settingsRemote, clinics or diagnostic centers
Industry UsageAdvanced diagnostics, surgical planning, researchRoutine diagnostics, screenings, initial assessments

Remote 3D Medical Imaging Post Processing involves creating detailed 3D visualizations from imaging data, often requiring specialized software and advanced skills. In contrast, Remote 2D Medical Imaging Analysis focuses on interpreting flat images like X-rays or MRIs. Both roles are essential in medical diagnostics but differ in complexity, tools, and application scope.

What job categories do people searching Remote 3D Medical Imaging Post Processing jobs in Draper, UT look for?

The top searched job categories for Remote 3D Medical Imaging Post Processing jobs in Draper, UT are:

What cities near Draper, UT are hiring for Remote 3D Medical Imaging Post Processing jobs?

Cities near Draper, UT with the most Remote 3D Medical Imaging Post Processing job openings:

Infographic showing various Remote 3D Medical Imaging Post Processing job openings in Draper, UT as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Research Intern on Generative and Protective AI for Content Creation

Sony

Orem, UT โ€ข On-site, Remote

$50/hr

Full-time

Re-posted 4 days ago


Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

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