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Remote Science Communication Jobs in Virginia (NOW HIRING)

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Ability to communicate analysis techniques, concepts and products. * Ability to develop data-driven ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Ability to communicate analysis techniques, concepts and products. * Ability to develop data-driven ...

Skyline Scientific Inc

Senior Data Scientist

Mclean, VA · Remote

$150K - $200K/yr

... science, and data analytics to detect, track, locate, and characterize remote sensing targets ... Excellent documentation skills, organizational skills, and verbal communication (including ...

Tandym

Clinical Programmer (Remote)

Bedford, VA · Remote

Bachelor's degree or higher in Scientific, Biological, Statistical, Computer Science or a related ... Effective communication skills * High integrity and trust * Ability to adapt to changing situations ...

Leidos

Expert Hyperspectral Image Scientist

Springfield, VA · Remote

$116.35K - $210.33K/yr

Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial ... Strong written and verbal communication skills, including the ability to present technical findings ...

Leidos

Senior Hyperspectral Image Scientist

Springfield, VA · On-site +1

$92.30K - $166.85K/yr

Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial ... Strong written and verbal communication skills, including the ability to present technical findings ...

Mission Lane

Head of Data Science

Richmond, VA · On-site +1

Has a deep understanding of the field of data science and can communicate a vision to your team on ... remote-friendly work environment. About Mission Lane: Founded in December 2018, Mission Lane is a ...

SAIC

Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply ... Policy and Communications Support: Assist in supporting Policy Business Operations, including ...

Maximus

Data Science Manager

VA · On-site +1

This is a remote role. Essential Duties and Responsibilities: - Oversee the ongoing developments ... Track, report, and communicate trends, error rates, or other business requests by operational ...

Elder Research

Data Scientist

Raleigh, NC · On-site +1

Collaborate and Communicate: Interface with internal teams and external client stakeholders to ... remote, flexible environment. * Advanced degree (MS or PhD) in statistics, computer science, data ...

Elder Research

Data Scientist

Arlington, VA · On-site +1

Collaborate and Communicate: Interface with internal teams and external client stakeholders to ... remote, flexible environment. * Advanced degree (MS or PhD) in statistics, computer science, data ...

SAIC

Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply ... Policy and Communications Support: Assist in supporting Policy Business Operations, including ...

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Remote Science Communication information

What are the key skills and qualifications needed to thrive as a Remote Science Communicator, and why are they important?

To thrive as a Remote Science Communicator, you need a strong background in science, excellent writing or multimedia communication skills, and at least a bachelor's degree in a relevant field. Familiarity with digital communication tools, content management systems, and social media platforms is typically required, and certifications in science communication or digital marketing can be beneficial. Exceptional soft skills include creativity, adaptability, and the ability to translate complex scientific concepts into accessible language. These skills are crucial for effectively engaging diverse audiences and ensuring accurate dissemination of scientific information in a remote environment.

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

One common challenge in remote science communication is ensuring clear and engaging messaging without face-to-face interaction, which can make it harder to gauge audience understanding. Collaborating across time zones and managing effective communication with scientists and stakeholders can also be complex. To address these, remote science communicators often rely on regular virtual meetings, collaborative tools, and clear documentation of project goals and feedback. Building a strong digital presence and adapting content for different online platforms are also key strategies for success in this role.

What is remote science communication?

Remote science communication involves sharing scientific information, research, and discoveries with diverse audiences using digital platforms, rather than in-person events. Professionals in this field may create content for websites, social media, podcasts, webinars, or virtual conferences, aiming to make complex scientific topics accessible and engaging. This role requires strong communication skills, science literacy, and the ability to use digital tools effectively. Remote science communicators often collaborate with researchers, educators, and media outlets from anywhere in the world.

What is the difference between Remote Science Communication vs Remote Science Writing?

AspectRemote Science CommunicationRemote Science Writing
Required CredentialsScience degrees, communication skills, possibly certifications in science communicationScience degrees, strong writing skills, possibly certifications in technical or scientific writing
Work EnvironmentVirtual, often involves multimedia, presentations, and public engagementPrimarily virtual, focused on creating written content like articles, reports, and manuals
Employer & Industry UsageResearch institutions, science media outlets, educational organizationsScientific publishers, research organizations, educational platforms
Search & Comparison IntentUnderstanding roles involving science communication and outreachLooking for scientific writing opportunities and content creation roles

Remote Science Communication focuses on conveying scientific concepts through various media and engaging audiences, while Remote Science Writing emphasizes creating written scientific content. Both roles require science backgrounds but differ in their primary output and communication methods.

What are the most commonly searched types of Science Communication jobs in Virginia? The most popular types of Science Communication jobs in Virginia are:
What are popular job titles related to Remote Science Communication jobs in Virginia? For Remote Science Communication jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Science Communication jobs in Virginia look for? The top searched job categories for Remote Science Communication jobs in Virginia are:
What cities in Virginia are hiring for Remote Science Communication jobs? Cities in Virginia with the most Remote Science Communication job openings:
Remote Science Communication jobs near you
Infographic showing various Remote Science Communication job openings in Virginia as of May 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 65% In-person, 5% Hybrid, and 30% Remote job distribution.

Remote Sensing Engineer

Riverside Research Institute

Fairfax, VA • On-site, Remote

$150K - $180K/yr

Full-time

Posted 12 days ago

Job description

Riverside Overview
Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.
Position Overview
Riverside Research's Cognitive Intelligence Solutions Group (CISG) is seeking a Remote Sensing Engineer to support cutting-edge geospatial intelligence, autonomous sensing, and AI/ML-driven data exploitation efforts for the U.S. Department of Defense and Intelligence Community. The successful candidate will serve as a technical lead responsible for the automated verification and validation (V&V), test and evaluation (T&E), and performance assessment of remote sensing data pipelines, AI/ML models, and third-party vendor capabilities. This role bridges rigorous scientific methodology with production-grade engineering, enabling CISG to deliver validated, mission-ready geospatial intelligence products. The ideal candidate combines deep expertise in multispectral and hyperspectral remote sensing with hands-on experience applying machine learning to operational geospatial workflows.
This position is located in Fairfax, VA.
#LI-Onsite
Responsibilities
  • Design, develop, and implement automated V&V and T&E frameworks to assess the accuracy, performance, and operational readiness of remote sensing data products, AI/ML models, and vendor-delivered geospatial capabilities.
  • Lead the technical evaluation of commercial and government remote sensing platforms, sensors (multispectral, hyperspectral, SAR, LiDAR), and associated data products against mission-specific requirements.
  • Develop and maintain scalable, production-grade machine learning pipelines for geospatial applications including change detection, land cover classification, object detection, and environmental monitoring.
  • Apply state-of-the-art AI/ML techniques - including deep learning, transfer learning, self-supervised learning, and large vision/language models - to automate remote sensing data exploitation and analysis workflows.
  • Conduct rigorous uncertainty quantification, validation metric development, and statistical performance benchmarking across multi-source, multi-temporal geospatial datasets.
  • Architect and execute data quality assessment (DQA) protocols for ingested satellite, airborne, and in-situ sensor data; document and communicate findings to program teams and stakeholders.
  • Collaborate with program managers, government customers, and interdisciplinary engineering teams to translate operational requirements into validated technical solutions.
  • Evaluate and integrate emerging remote sensing technologies and open-source AI/ML frameworks; assess vendor claims, algorithm documentation, and technical data packages.
  • Contribute to IRAD initiatives advancing CISG's remote sensing and autonomous sensing capabilities, including development of novel approaches for environmental monitoring, target detection, and geospatial change analytics.
  • Author technical reports, white papers, and briefings documenting methodology, V&V results, and performance findings for government sponsors.
  • Provide technical mentorship to junior engineers and researchers on remote sensing methods, ML best practices, and geospatial data science.
  • Stay current with advances in foundation models, multi-modal geospatial AI, and emerging remote sensing sensor modalities relevant to national security applications.

Qualifications
Required Qualifications:
  • Active U.S. Citizenship (required for all Riverside Research positions).
  • Must be able to obtain and maintain a Top Secret security clearance with SCI access; ability to obtain program-specific clearances as required. Candidates with an active TS/SCI are strongly preferred.
  • Bachelor's degree in Remote Sensing, Geospatial Science, Earth Systems, Electrical Engineering, Computer Science, or a closely related STEM field.
  • A minimum of 8 years of related experience with a Bachelor's degree, 6 years with a Master's degree, 3 years with a PhD, or equivalent combination of education and experience. Graduate research experience counts toward this threshold.
  • Demonstrated expertise in multispectral and/or hyperspectral remote sensing data analysis, including atmospheric correction, spectral indices, spectral unmixing, and feature extraction.
  • Proficiency in Python for geospatial data engineering, including experience with rasterio, rioxarray, xarray, GDAL, geopandas, NumPy, and scikit-learn.
  • Hands-on experience with machine learning and statistical modeling applied to remote sensing or geospatial datasets (e.g., classification, regression, anomaly detection, change detection).
  • Experience developing and executing V&V or T&E processes for data products, software systems, or AI/ML models, including design of test plans, performance metrics, and acceptance criteria.
  • Familiarity with geospatial platforms and tools: ArcGIS Pro, QGIS, ENVI, and/or Google Earth Engine.
  • Experience with cloud-based geospatial workflows (AWS, Google Cloud, or Azure) and version control practices (Git/GitLab/GitHub).
  • Strong written and verbal communication skills with demonstrated ability to present complex technical findings to both technical and non-technical audiences.

Desired / Preferred Qualifications:
  • Active Top Secret/SCI clearance - candidates who already hold an active TS/SCI will be given strong preference and can expect an accelerated onboarding timeline.
  • Experience supporting DoD, Intelligence Community, or national security remote sensing programs (NRO, NGA, AFRL, ARO, or equivalent).
  • Familiarity with hyperspectral sensing platforms (e.g., AVIRIS, PRISMA, orbital hyperspectral systems) and hyperspectral analytics pipelines including mineral characterization and vegetation health assessment.
  • Experience applying deep learning frameworks (PyTorch, TensorFlow, Hugging Face) to geospatial or computer vision tasks, including fine-tuning foundation models or geospatial FMs (e.g., Prithvi, SatMAE, Clay).
  • Background in SAR processing, LiDAR analysis, or multi-modal sensor fusion for environmental or intelligence applications.
  • Experience with automated testing frameworks, CI/CD pipelines, and MLOps practices for geospatial AI/ML systems.
  • Track record of peer-reviewed publication, conference presentations (e.g., IGARSS, AGU, SPIE), or technical reports in remote sensing or geospatial AI.
  • Demonstrated experience in a lead or senior individual contributor role, including mentorship of junior technical staff and coordination across multi-disciplinary teams.
  • Familiarity with GEOINT tradecraft, NSDI standards, or DoD geospatial data standards (NTM, NITF, STANAG imagery formats).

Global Comp
$115,000 - $200,000 This represents the typical compensation range for this position based on experience, location and other factors.
Closing Statement
Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.

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