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Remote Coastal Environmental Science Jobs in Virginia

Technical Scientist - SME

Springfield, VA ยท On-site +1

$150K - $235K/yr

... image science methods, and multi-platform remote sensing analytics. The work is fast-paced and ... We're proud to offer a work environment that empowers our team to achieve a strong work-life ...

Imagery Scientist (EO) - Senior

Falls Church, VA ยท On-site +1

$160K - $190K/yr

... science experience with understanding of collection, phenomenology, image formation process, and ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Data Scientist

Alexandria, VA ยท On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0242719 Location: Alexandria,VA,US Share job via: Share Data ... On our team, you'll use your analytical skills and data science knowledge to create real-world ...

Showing results 21-40

Remote Coastal Environmental Science information

What is a remote coastal environmental scientist?

A Remote Coastal Environmental Scientist is a professional who studies and monitors coastal environments, such as beaches, estuaries, and wetlands, while working remotely rather than on-site. They use technology, including satellite data, geographic information systems (GIS), and remote sensing, to analyze environmental changes, assess habitat health, and recommend sustainable management practices. Their work helps protect coastal ecosystems from threats like erosion, pollution, and climate change, often collaborating with government agencies, NGOs, and research institutions. The role typically requires a background in environmental science, marine biology, or a related field, along with strong data analysis and technical skills.

What are the key skills and qualifications needed to thrive as a remote coastal environmental scientist?

To thrive as a Remote Coastal Environmental Scientist, you need a solid background in environmental science, marine ecology, and data analysis, typically supported by a relevant degree. Familiarity with GIS software, remote sensing tools, and environmental monitoring systems is commonly required. Strong problem-solving, communication, and self-motivation are crucial soft skills for managing projects independently and collaborating with remote teams. These skills enable effective research, accurate environmental assessments, and successful project outcomes in challenging coastal environments.

What are some of the unique challenges faced when working remotely in coastal environmental science, and how can they be addressed?

Working remotely in coastal environmental science often means relying heavily on digital tools and remote sensing technologies to monitor and analyze coastal ecosystems. One common challenge is limited access to on-site data collection, which can make it difficult to observe real-time environmental changes. To address this, professionals frequently collaborate with field teams, use satellite imagery, and leverage data from local partners or citizen scientists. Building strong communication skills and staying current with remote data collection methods are essential for success in this role.

What are the most commonly searched types of Coastal Environmental Science jobs in Virginia?

The most popular types of Coastal Environmental Science jobs in Virginia are:

What are popular job titles related to Remote Coastal Environmental Science jobs in Virginia?

For Remote Coastal Environmental Science jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Coastal Environmental Science jobs in Virginia look for?

The top searched job categories for Remote Coastal Environmental Science jobs in Virginia are:

Infographic showing various Remote Coastal Environmental Science job openings in Virginia as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 23% Part Time, and 3% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution.

Technical Scientist - SME

GRVTY

Springfield, VA โ€ข On-site, Remote

$150K - $235K/yr

Full-time

Medical, Retirement, PTO

Posted 27 days ago


Job description

What Impact You'll Have

GRVTY is looking for a Senior Scientist to support research, algorithm development, and advanced analytics for overhead persistent infrared and electro-optical/infrared sensing systems. This is a technically demanding role centered on OPIR phenomenology, optical signature characterization, and sensor performance analysis in direct support of national security missions at a Customer site in Herndon, Virginia.

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop and apply physics-based models, image science methods, and multi-platform remote sensing analytics. The work is fast-paced and mission-driven - requirements shift, collection windows are finite, and the analysis you produce informs real decisions. We are looking for someone who has done this work before, can operate with autonomy, and brings enough depth in OPIR to hit the ground running.

What You'll be Owning

  • Lead research and development of advanced algorithms for OPIR and EO/IR remote sensing systems, with emphasis on target detection, tracking, location, and characterization.
  • Design, implement, and evaluate algorithms for EO/IR sensor and camera system performance - including noise modeling, radiometric calibration, and sensitivity analysis.
  • Analyze optical signature data to extract target phenomenology, characterize signatures, and generate technically rigorous intelligence insights.
  • Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and data streams.
  • Support the full TCPED process for OPIR - from tasking and collection planning through exploitation and dissemination.
  • Review and validate analytic products for technical accuracy and mission relevance; identify gaps and recommend improvements.
  • Maintain detailed, reproducible analysis logs documenting workflows, assumptions, methodologies, and results.
  • Respond to real-time EO/IR analysis requests and adapt quickly to evolving mission priorities.
  • Test and evaluate emerging algorithms, exploitation tools, and analytic platforms; contribute to trade studies and capability assessments.
  • Prepare and deliver technical briefings, findings, and written reports to customer and program stakeholders.
  • Mentor junior analysts; contribute to analytic standards and methodology development across the team.

What You Must Have

  • Active Top Secret clearance with ability to obtain SCI and CI polygraph.
  • Bachelor's degree in Image Science, Engineering, Applied Physics, Atmospheric Science, Applied Mathematics, or a closely related field.
  • 5+ years of hands-on OPIR experience, with demonstrated work in EO/IR phenomenology, optical signature analysis, or sensor performance assessment.
  • Experience with image processing and digital signal processing tools for short-wave and mid-wave infrared data.
  • Experience applying algorithms for target detection and background suppression in OPIR or EO/IR contexts.
  • Familiarity with multi-data stream ingest and analysis techniques.
  • Working knowledge of the TCPED process as applied to OPIR collection and exploitation.
  • Strong documentation and communication skills - you will be writing technical reports and briefing customers, not just doing the analysis.
  • Able to work independently and manage priorities without significant hand-holding.

What Would be Nice to Have

  • Master's degree in Image Science, Engineering, Applied Physics, Applied Mathematics, or a related field.
  • Direct experience with optical signature modeling and EO/IR phenomenology characterization.
  • Proficiency in Python, MATLAB, IDL, or C/C++ for algorithm development or data analysis.
  • Experience with geospatial and exploitation tools such as ArcGIS, Google Earth, Opticks, or Palette.
  • Background in radiometric calibration, sensor noise modeling, or end-to-end sensor performance modeling.
  • Experience supporting collection planning and requirements definition for remote sensing systems.
  • Familiarity with AI/ML-enhanced analytics as applied to remote sensing or signature exploitation.
  • Prior experience in a defense or intelligence community environment supporting classified programs.

Pay Range:ย At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.
We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.
Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.

  • The pay range for this position is: $150,000 - $235,000