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Imaging Science Jobs in Virginia (NOW HIRING)

Leidos

Hyperspectral Image Scientist

Springfield, VA · On-site +1

$92K - $166K/yr

Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial Science, Applied Mathematics, Computer Science, or a related technical field. * Minimum of 8-12 years ...

Leidos

Hyperspectral Image Scientist

Springfield, VA · On-site

$92K - $166K/yr

Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial Science, Applied Mathematics, Computer Science, or a related technical field. * Minimum of 8-12 years ...

Leidos

Hyperspectral Image Scientist

Springfield, VA · On-site

$92K - $166K/yr

Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial Science, Applied Mathematics, Computer Science, or a related technical field. * Minimum of 8-12 years ...

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All JobsImaging Science JobsImaging Science Jobs in Virginia

Imaging Science information

See Virginia salary details

$31.2K

$73.9K

$108.1K

How much do imaging science jobs pay per year?

As of Aug 30, 2026, the average yearly pay for imaging science in Virginia is $73,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,600.00 and $82,800.00 per year, depending on experience, location, and employer.

What is imaging science?

Imaging science is the study and application of techniques to capture, process, analyze, and interpret images. It combines principles from physics, mathematics, computer science, and engineering to develop and improve technologies like cameras, medical scanners, remote sensing systems, and image processing software. Imaging scientists work in a variety of fields, including healthcare, astronomy, forensics, and industrial inspection. Their work enables advancements in diagnostics, surveillance, scientific research, and digital media.

What are the key skills and qualifications needed to thrive as an imaging scientist?

To thrive as an Imaging Scientist, you need a strong background in physics, mathematics, and computer science, typically with an advanced degree in imaging science or a related field. Familiarity with image processing software (such as MATLAB or Python), imaging modalities (like MRI, CT, or microscopy), and relevant certifications are commonly expected. Strong analytical thinking, problem-solving abilities, and effective collaboration skills distinguish top performers in this role. Mastery of these skills enables accurate image analysis and innovation in imaging technologies, which are critical for advancements in research, healthcare, and industry.

What are some common challenges faced by professionals in imaging science, and how can they be addressed?

Imaging Science professionals often encounter challenges such as managing large datasets, adapting to rapidly evolving imaging technologies, and ensuring accurate image analysis. Staying current with software updates and industry best practices is essential, as is collaborating closely with multidisciplinary teams, including engineers, physicians, and IT specialists. Continuous learning and proactive communication help address these challenges, enabling Imaging Scientists to deliver precise results and drive innovation in their field.

What is the difference between Imaging Science vs Medical Imaging Technologist?

AspectImaging ScienceMedical Imaging Technologist
Required CredentialsTypically requires a degree in imaging science, radiologic technology, or related field; certifications varyRequires an associate's or bachelor's degree in radiologic technology; certification from ARRT often needed
Work EnvironmentResearch labs, imaging equipment development, industry settingsHospitals, clinics, diagnostic centers
Employer & Industry UsageResearch institutions, medical device companies, industryHealthcare facilities, diagnostic imaging centers

Imaging Science focuses on developing and improving imaging technologies, often in research or industry settings, while Medical Imaging Technologists operate imaging equipment directly to diagnose patients. Both roles require specialized training but differ in work environment and primary responsibilities.

What does an imaging science do?

Imaging scientists develop and improve imaging technologies and techniques used in fields such as medical imaging, remote sensing, and industrial inspection. They work with tools like MRI, X-ray, or satellite imagery, often analyzing data and creating algorithms to enhance image quality and extract useful information. Strong skills in physics, computer science, and image processing are essential for this role.

Which imaging science job pays the most?

In imaging science, senior roles such as imaging scientists, research directors, or specialized imaging engineers tend to have the highest salaries, often exceeding six figures. These positions typically require advanced degrees, extensive experience, and expertise in areas like medical imaging, remote sensing, or computational imaging.
Imaging Science jobs near you
Infographic showing various Imaging Science job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $73,937 per year, or $35.5 per hour.

Image Scientist 263

Springfield, VA • On-site

Freedom Technology Solutions Group
See more jobs at Freedom Technology Solutions Groupexternal

Full-time

Re-posted 12 days ago

Job description

Freedom Technology Solutions Group is seeking an Imagery Scientist with knowledge of imagery evaluations, image quality studies, new product/sensor initializations, product algorithm assessments, and the development of image quality equations (IQEs).  Candidates should possess experience in full image processing and digital signal processing. Candidate should possess a high level of knowledge of image chain analysis to include atmospheric modeling, signal quality and noise, optics, detector calibration, and image processing of pixel data to display radiometrically correct values.   

Responsibilities:

  • Reports to a manager or head of a unit/department on a weekly basis.
  • Understanding of imagery scientist processes and procedures for the team.
  • Contribution to team structure and cadence.
  • Providing metrics, reports, and presentations as requested by the government lead and PM 
  • Work to improve efficiency with team processes
  • Contribute to team discussions and recommend improvements. 
  • Guides and supports junior level personnel
  • Conduct root cause problem analysis and develop technical solutions to problems

Key Technologies:

  •  Microsoft Word, PowerPoint and Excel.
  • Familiarity with current GEOINT systems, products and development, as well as exploitation software packages such as all ELTs, AGITK, and other software plug-ins or applications necessary to develop test and verification methodologies.
  • Knowledge of PAN, IR, MSI/HSI, RADAR, and LIDAR on both space or airborne platforms. 
  • Jira, Miro, Collaboration tools
  • Cloud platforms (AWS, Azure, Google Cloud)
  • Understanding services (e.g., EC2, Lambda, S3, Kubernetes Services)
  • DevSecOps & Automation
  • Understanding of GitLab CI/CD, Infrastructure as Code (IaC) (Terraform, AWS CloudFormation) and Containerization (Docker, Kubernetes, OpenShift)
  • Agile, DevSecOps, & Development Lifecycle Tools
  • SonarQube, Nexus, etc. for code and dependency scanning 

 Required Qualifications:

  • An active TS/SCI clearance (eligible for CI Poly)
  • Bachelor's degree in Imaging Science, Physics, Engineering, Mathematics or related STEM field.   
  • 4-7 years of experience
  • Ability to develop and use more complex concepts and processes
  • Working knowledge and practical application of modeling components of the image creation path to include sensor, detector, atmospheric, and material properties.
  • Simulation and modeling experience.
  • Understanding of the systems engineering lifecycle to include independent testing and data verification.
  • Ability to develop algorithm description documentation for software development.
  • Contributes to moderately complex aspects of a project.
  • Works generally independent and collaborative in nature 

Desired Qualifications:

  • Knowledge of secure coding best practices and compliance standards (NIST, FedRAMP, etc.)
  • Knowledge of Cloud Platforms (AWS, Azure)
  • Experience with modern software development practices
  • Experience with navigating organizational security processes.
  • Experience developing and delivering contract deliverables  

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