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Remote 3D Medical Imaging Post Processing Jobs in Missouri

Jobgether

Research foundation-model approaches for medical imaging, including 3D and volumetric learning at ... Fully remote position open to candidates worldwide. * Location-flexible compensation with a cash ...

Varsity Tutors

Biomedical Engineering Tutor

Columbia, MO · Remote

$18 - $40/hr

... medical imaging, tissue engineering, physiological systems modeling, biostatistics, and regulatory affairs. Ability to explain signal processing for biosignals, finite element analysis, drug delivery ...

Varsity Tutors

Biomedical Engineering Tutor

Kansas City, MO · Remote

$18 - $40/hr

... medical imaging, tissue engineering, physiological systems modeling, biostatistics, and regulatory affairs. Ability to explain signal processing for biosignals, finite element analysis, drug delivery ...

Varsity Tutors

Biomedical Engineering Tutor

Saint Louis, MO · Remote

$18 - $40/hr

... medical imaging, tissue engineering, physiological systems modeling, biostatistics, and regulatory affairs. Ability to explain signal processing for biosignals, finite element analysis, drug delivery ...

Jobgether

Exposure to professional aircraft livery creation, 3D asset workflows, and simulator-specific production processes. * Remote working arrangement. How Jobgether works: We use an AI-powered matching ...

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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 are the most commonly searched types of 3D Medical Imaging Post Processing jobs in Missouri?

The most popular types of 3D Medical Imaging Post Processing jobs in Missouri are:

What are popular job titles related to Remote 3D Medical Imaging Post Processing jobs in Missouri?

For Remote 3D Medical Imaging Post Processing jobs in Missouri, the most frequently searched job titles are:

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

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

What cities in Missouri are hiring for Remote 3D Medical Imaging Post Processing jobs?

Cities in Missouri with the most Remote 3D Medical Imaging Post Processing job openings:

Remote 3D Medical Imaging Post Processing jobs near you
Infographic showing various Remote 3D Medical Imaging Post Processing job openings in Missouri as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

ML Research Engineer / Scientist

Remote

Jobgether
See more jobs at Jobgetherexternal

Full-time

Medical, Vision

Posted 9 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a ML Research Engineer / Scientist based in Netherlands.

Join a research-driven team building next-generation AI models designed to understand complete CT studies rather than isolated findings.
You'll work on foundation models, vision-language learning, and multi-finding detection using medical imaging data at unprecedented scale.
Your research will have a direct path from experimentation to regulatory submissions, hospital deployment, and real-world patient care.
You'll own models and experiments end to end, from developing the initial idea through training, evaluation, calibration, and production readiness.
You'll work alongside experienced ML engineers, software engineers, and fellowship-trained radiologists across multiple clinical specialties.
The role combines deep technical research with practical impact, giving you the opportunity to solve challenging problems in medical AI with exceptionally rich real-world data.
This is a fully remote opportunity for an independent researcher who wants their work to move quickly from the lab into clinical practice.

Accountabilities
  • Design, develop, train, and evaluate machine learning models capable of interpreting complete CT studies at the study level.
  • Research foundation-model approaches for medical imaging, including 3D and volumetric learning at large scale.
  • Develop and investigate vision-language models that connect medical images with the terminology and reporting patterns used by radiologists.
  • Build models capable of identifying and prioritizing multiple urgent clinical findings simultaneously while maintaining safe and clinically appropriate operating points.
  • Design and execute independent experiments, from hypothesis formation and architecture selection through training, evaluation, and analysis.
  • Develop custom architectures, training pipelines, loss functions, and distributed training approaches using modern deep learning frameworks.
  • Analyze model performance rigorously and establish reproducible evaluation methodologies suitable for clinically consequential AI systems.
  • Work closely with fellowship-trained radiologists to understand clinical requirements, interpret results, and translate research findings into practical model improvements.
  • Contribute to models and research that progress toward regulatory submissions, clinical deployment, and real-world patient use.
  • Take ownership of research projects end to end and make informed decisions about which experiments and approaches are most likely to deliver meaningful improvements.
  • Collaborate with ML and software engineering teams to move successful research from experimentation toward robust, deployable systems.
Requirements:
  • Strong practical experience with modern machine learning and deep learning, particularly using PyTorch for custom architectures, training loops, and experimentation.
  • Deep understanding of why machine learning architectures, objectives, optimization strategies, and training approaches work, rather than relying solely on existing implementations.
  • Demonstrated ability to independently formulate hypotheses, design experiments, interpret results, and iterate toward better models.
  • Strong understanding of rigorous experimentation, evaluation, reproducibility, and model validation.
  • Experience working with large-scale datasets and distributed training environments is highly valuable.
  • A strong interest in solving technically challenging problems where model performance and reliability have meaningful real-world consequences.
  • Ability to work effectively with researchers, engineers, and clinical experts in a collaborative environment.
  • Medical imaging, 3D computer vision, or volumetric-data experience is advantageous but not required.
  • Experience with vision-language models or self-supervised learning is a plus.
  • Familiarity with DICOM, CT imaging, radiology, or other medical-data formats and workflows is beneficial.
  • A PhD, research publications, or a strong academic research background is a plus, but not a prerequisite.
  • Prior medical-AI experience is not required; a willingness to learn clinical concepts directly from radiology experts is valued.
  • Strong written and verbal communication skills and the ability to work independently in a fully remote environment.
Benefits:
  • Fully remote position open to candidates worldwide.
  • Location-flexible compensation with a cash-weighted base salary determined according to the local market in the country where you work.
  • Specific compensation range for your location shared early in the hiring process.
  • No equity included in international offers, with compensation structured transparently around local-market cash pay.
  • Opportunity to work with a real-world CT dataset covering approximately 10 million patients, paired with radiology reports.
  • Direct collaboration with fellowship-trained radiologists across areas including chest, body, MSK, neuro, and oncology.
  • Opportunity to work on research that can progress from experimentation to FDA submissions, hospital deployments, and patient care within months.
  • Exposure to large-scale foundation models, vision-language learning, distributed training, medical imaging, and clinically focused AI evaluation.
  • High degree of ownership over research ideas, experiments, models, and technical direction.
  • Opportunity to work alongside researchers and engineers with significant contributions to medical AI, open datasets, algorithms, and clinical AI systems.
  • A small, research-oriented team where successful ideas can move quickly from research into production.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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