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Remote 3D Medical Imaging Post Processing Jobs in Virginia

ICF

Substation Physical Designer - REMOTE

Reston, VA · Remote

You always strive to expand your knowledge and improve work processes to increase quality and ... Inventor 3D, AutoCAD, Civil 3D, Bluebeam, and MicroStation What we would like you to have ...

Riverside Research

GEOINT Analyst Mid

Charlottesville, VA · Remote

$110K - $150K/yr

... using remote sensing methodologies, on data from a range of airborne and space-based imaging ... Experience with producing 3D models and visualizations of buildings, terrain, or equipment by ...

Varsity Tutors

Biomedical Engineering Tutor

Norfolk, VA · 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

Salem, VA · 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

Blacksburg, VA · 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

Leesburg, VA · 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 ...

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All Jobs3D Medical Imaging Post Processing JobsRemote 3D Medical Imaging Post Processing JobsRemote 3D Medical Imaging Post Processing Jobs in Virginia

Remote 3D Medical Imaging Post Processing information

What is the highest paid imaging modality?

In medical imaging, MRI (Magnetic Resonance Imaging) specialists tend to have higher salaries compared to other modalities like CT or ultrasound, due to the specialized skills and equipment involved. Remote 3D medical imaging post-processing roles often require expertise in multiple modalities, with MRI experience being particularly valuable for higher compensation.

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 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 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.

Is AI going to take over medical imaging jobs?

Remote 3D medical imaging post processing involves analyzing complex imaging data, and AI tools are increasingly used to assist with tasks like segmentation and diagnosis. While AI can automate repetitive aspects, human expertise remains essential for interpretation, decision-making, and ensuring accuracy. AI is a complement to, not a replacement for, skilled medical imaging professionals.

What else can you do with a radiology degree?

A radiology degree can lead to careers in medical imaging, such as MRI, CT, or ultrasound technologist roles, or in diagnostic radiology as a radiologist. It also provides a foundation for roles in research, healthcare technology, or medical post-processing, especially for those with skills in image analysis and software tools. Additional certifications and experience can expand opportunities in clinical, research, or industry settings.

Is the demand for remote radiology growing?

The demand for remote radiology, including roles like remote 3D medical imaging post processing, is increasing due to advancements in telemedicine and digital imaging technologies. Hospitals and imaging centers are expanding remote work options to improve efficiency and access to specialized expertise, leading to sustained growth in remote radiology jobs.

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 are the most commonly searched types of 3D Medical Imaging Post Processing jobs in Virginia? The most popular types of 3D Medical Imaging Post Processing jobs in Virginia are:
What are popular job titles related to Remote 3D Medical Imaging Post Processing jobs in Virginia? For Remote 3D Medical Imaging Post Processing jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote 3D Medical Imaging Post Processing jobs in Virginia look for? The top searched job categories for Remote 3D Medical Imaging Post Processing jobs in Virginia are:
What cities in Virginia are hiring for Remote 3D Medical Imaging Post Processing jobs? Cities in Virginia 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 Virginia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Radio Frequency Software Engineer Lead - 1648

Radio Frequency Software Engineer Lead - 1648

Global InfoTek, Inc.

Reston, VA • On-site, Remote

Full-time

Posted 6 days ago

Job description

Clearance Level: Public Trust
US Citizenship: Required
Job Classification: Full Time
Location: Remote
Years of Experience: 7-10 years of relevant experience
Education Level: BS Degree - experience may be considered in place of education requirement.
Briefly Describe the Work:
GITI is seeking a Lead RF Software Engineer to support Cyber Operations Research and Development on passive RF emitter identification and network analysis from real-time sensor data streams. The candidate will implement, test, and maintain components of production software pipeline - a stream ingestion, rollup, and post-processing system operating on NDF (Network Description File) data produced by TDMA network sensors in dense, contested RF environments. Working under the direction of the Principal Engineer and the Technical Lead. The Lead RF Software Engineer supports Cyber Operations by contributing to pipeline development across a range of functional areas including stream processing, database integration, display and reporting tools, simulation infrastructure, and CI/CD tooling. The role requires strong Python skills, comfort with air-gapped Linux environments, and the ability to work independently on well-defined components with minimal supervision in support of real world cyber operations.
Responsibilities:
  • Implement, test, and maintain assigned pipeline components including stream ingestion, rollup processing, database write, and batch post-processing modules in support of real world cyber operations
  • Develop and maintain browser-based visualization and reporting tools (track plots, waterfall displays, SmartBook report generation) that consume pipeline database output
  • Implement and maintain stream simulation infrastructure, including TDMA network mission log replay and stream generation at controllable rates for pipeline testing
  • Develop lightweight TNS simulator components: emitter and receiver models capable of following track plots and emitting in accordance with a network description
  • Contribute to database integration work on tactical-box-spec hardware, including MySQL schema design, query optimization, and performance benchmarking
  • Write comprehensive unit and integration tests for assigned components; implement and maintain CI/CD pipelines using GitLab to ensure functionality on hardware or in cloud environment
  • Identify and report performance bottlenecks in Python pipeline components; assist with porting mature components to Rust or C as directed
  • Perform basic Linux system administration on remote servers including package management, user configuration, and environment setup
  • Manage source code using GitLab; follow disciplined versioning, branching, and code review practices as established by the Principal Engineer
  • Produce clear technical documentation for implemented components including interface specifications, configuration guides, and test procedures
  • Participate in periodic technical check-ins with the program technical lead; share findings and flag blockers promptly

Career level with a complete understanding and wide application of technical principles, theories, and concepts. Working under general direction from the Principal Engineer, provides technical solutions to a wide range of well-defined problems and independently executes on assigned components. Bachelor's (or equivalent) with 7-10 years of experience, or a Master's with 5-7 years of experience.
Required Skills:
  • Strong proficiency in Python, with demonstrated experience in data processing pipelines, stream ingestion, or ETL development
  • Proficiency with Python data science libraries including NumPy, Pandas (or Polars), and scikit-learn
  • Experience with relational database development using MySQL, PostgreSQL, or SQLite, including schema design and query optimization
  • Experience parsing or generating binary serialization formats (FlatBuffers, Protocol Buffers, or equivalent)
  • Ability to develop, test, and debug on remote Linux servers via SSH using command-line tools and a modern IDE
  • Solid Linux operating system fundamentals including file system management, process control, and basic security hardening (Ubuntu)
  • Proficient in software engineering practices including Git/GitLab version control, unit testing, and CI/CD pipeline usage
  • Experience developing browser-based data visualization or reporting tools, or demonstrated ability to learn React/D3-based tooling on the job
  • Strong written and oral communication skills; ability to produce clear technical documentation for engineering audiences
  • Ability to work independently on assigned components with minimal supervision in a small, distributed team

Desired Skills:
  • Experience with TNS (Target Network System) sensor data formats and NDF ICD specifications
  • Familiarity with TDMA network protocols, time-division access architectures, and passive RF signal processing concepts
  • Experience with lightweight stream or message queue architectures (ZeroMQ, RabbitMQ, or equivalent)
  • Experience with Rust or Go for systems-level or performance-critical development on Linux
  • Experience with Polars or DuckDB for high-performance analytical workloads
  • Experience with performance profiling and optimization of Python pipelines on resource-constrained x86 hardware
  • Experience with LLM-assisted software development tools (e.g., Claude Code, GitHub Copilot, JetBrains AI Assistant, or equivalent); demonstrated ability to use AI tools productively for code generation, refactoring, and test case development while maintaining engineering judgment and code quality standards
  • Familiarity with AI/ML libraries (PyTorch, TensorFlow); ability to integrate trained model inference into a pipeline without requiring deep ML expertise
  • Experience with Jupyter Notebooks and research enclave environments; ability to read and adapt research prototype code
  • Experience with simulation or synthetic data generation for pipeline testing purposes
  • Familiarity with Apache data science tools such as Spark or Dask for large-scale data processing

Relevant Certifications:
  • Certifications in software engineering, computer science, or related fields (e.g., Certified Software Development Professional (CSDP); Certified Scrum Developer (CSD); Red Hat Certified Enterprise Application Developer; Certified Secure Software Lifecycle Professional (CSSLP); C++ Certified Associate Programmer (CPA); Professional Software Developer Certification (PSD); etc.)

Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
About Global InfoTek, Inc. Global InfoTek Inc. has an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation's pressing cyber and advanced technology needs. GITI has rapidly merged pioneering technologies, operational effectiveness, and best business practices for over two decades.
Clearance Level: Public Trust
US Citizenship: Required
Job Classification: Full Time
Location: Remote
Years of Experience: 7-10 years of relevant experience
Education Level: BS Degree - experience may be considered in place of education requirement.
Briefly Describe the Work:
GITI is seeking a Lead RF Software Engineer to support Cyber Operations Research and Development on passive RF emitter identification and network analysis from real-time sensor data streams. The candidate will implement, test, and maintain components of production software pipeline - a stream ingestion, rollup, and post-processing system operating on NDF (Network Description File) data produced by TDMA network sensors in dense, contested RF environments. Working under the direction of the Principal Engineer and the Technical Lead. The Lead RF Software Engineer supports Cyber Operations by contributing to pipeline development across a range of functional areas including stream processing, database integration, display and reporting tools, simulation infrastructure, and CI/CD tooling. The role requires strong Python skills, comfort with air-gapped Linux environments, and the ability to work independently on well-defined components with minimal supervision in support of real world cyber operations.
Responsibilities:
  • Implement, test, and maintain assigned pipeline components including stream ingestion, rollup processing, database write, and batch post-processing modules in support of real world cyber operations
  • Develop and maintain browser-based visualization and reporting tools (track plots, waterfall displays, SmartBook report generation) that consume pipeline database output
  • Implement and maintain stream simulation infrastructure, including TDMA network mission log replay and stream generation at controllable rates for pipeline testing
  • Develop lightweight TNS simulator components: emitter and receiver models capable of following track plots and emitting in accordance with a network description
  • Contribute to database integration work on tactical-box-spec hardware, including MySQL schema design, query optimization, and performance benchmarking
  • Write comprehensive unit and integration tests for assigned components; implement and maintain CI/CD pipelines using GitLab to ensure functionality on hardware or in cloud environment
  • Identify and report performance bottlenecks in Python pipeline components; assist with porting mature components to Rust or C as directed
  • Perform basic Linux system administration on remote servers including package management, user configuration, and environment setup
  • Manage source code using GitLab; follow disciplined versioning, branching, and code review practices as established by the Principal Engineer
  • Produce clear technical documentation for implemented components including interface specifications, configuration guides, and test procedures
  • Participate in periodic technical check-ins with the program technical lead; share findings and flag blockers promptly

Career level with a complete understanding and wide application of technical principles, theories, and concepts. Working under general direction from the Principal Engineer, provides technical solutions to a wide range of well-defined problems and independently executes on assigned components. Bachelor's (or equivalent) with 7-10 years of experience, or a Master's with 5-7 years of experience.
Required Skills:
  • Strong proficiency in Python, with demonstrated experience in data processing pipelines, stream ingestion, or ETL development
  • Proficiency with Python data science libraries including NumPy, Pandas (or Polars), and scikit-learn
  • Experience with relational database development using MySQL, PostgreSQL, or SQLite, including schema design and query optimization
  • Experience parsing or generating binary serialization formats (FlatBuffers, Protocol Buffers, or equivalent)
  • Ability to develop, test, and debug on remote Linux servers via SSH using command-line tools and a modern IDE
  • Solid Linux operating system fundamentals including file system management, process control, and basic security hardening (Ubuntu)
  • Proficient in software engineering practices including Git/GitLab version control, unit testing, and CI/CD pipeline usage
  • Experience developing browser-based data visualization or reporting tools, or demonstrated ability to learn React/D3-based tooling on the job
  • Strong written and oral communication skills; ability to produce clear technical documentation for engineering audiences
  • Ability to work independently on assigned components with minimal supervision in a small, distributed team

Desired Skills:
  • Experience with TNS (Target Network System) sensor data formats and NDF ICD specifications
  • Familiarity with TDMA network protocols, time-division access architectures, and passive RF signal processing concepts
  • Experience with lightweight stream or message queue architectures (ZeroMQ, RabbitMQ, or equivalent)
  • Experience with Rust or Go for systems-level or performance-critical development on Linux
  • Experience with Polars or DuckDB for high-performance analytical workloads
  • Experience with performance profiling and optimization of Python pipelines on resource-constrained x86 hardware
  • Experience with LLM-assisted software development tools (e.g., Claude Code, GitHub Copilot, JetBrains AI Assistant, or equivalent); demonstrated ability to use AI tools productively for code generation, refactoring, and test case development while maintaining engineering judgment and code quality standards
  • Familiarity with AI/ML libraries (PyTorch, TensorFlow); ability to integrate trained model inference into a pipeline without requiring deep ML expertise
  • Experience with Jupyter Notebooks and research enclave environments; ability to read and adapt research prototype code
  • Experience with simulation or synthetic data generation for pipeline testing purposes
  • Familiarity with Apache data science tools such as Spark or Dask for large-scale data processing

Relevant Certifications:
  • Certifications in software engineering, computer science, or related fields (e.g., Certified Software Development Professional (CSDP); Certified Scrum Developer (CSD); Red Hat Certified Enterprise Application Developer; Certified Secure Software Lifecycle Professional (CSSLP); C++ Certified Associate Programmer (CPA); Professional Software Developer Certification (PSD); etc.)

Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard t

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