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Remote Spatial Ecologist Jobs (NOW HIRING)

Perform spatial and temporal data analysis across large landscapes * Develop and implement spatial ... remote sensing datasets such as LiDAR, NAIP, and LANDSAT. * Understanding of ecology in dry forests ...

Senior Software Engineer

New York, NY · On-site +1

$134K - $176K/yr

Experience analyzing scientific and spatial datasets, specifically utilizing GIS and remote sensing ... ecological outcomes

Serve as a consultant/liaison to personnel preforming survey data capture and spatial data ... ecological and natural resource questions. * Support the integration of remote sensing data and ...

Remote workers outside of the area are also encouraged to apply. Position Summary Tetra Tech, a ... Bachelor's degree in Biology, Ecology, Environmental Science, or a related field with a background ...

Experience with remote sensing integration (LiDAR, UAV, satellite) * Experience with surface ... Develop integrated spatial products linking hydrologic and hydrogeological processes and ecological ...

Experience with remote sensing integration (LiDAR, UAV, satellite) * Experience with surface ... Develop integrated spatial products linking hydrologic and hydrogeological processes and ecological ...

Senior Wetland Scientist

Boulder, CO · On-site +1

$90K - $120K/yr

Master's or PhD in wetland science, ecology, geography, environmental or earth science, hydrology ... Demonstrated experience mapping wetlands, land cover, or comparable features at large spatial scale.

New

Remote Spatial Ecologist information

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$34.5K

$59.5K

$104K

How much do remote spatial ecologist jobs pay per year?

As of Aug 3, 2026, the average yearly pay for remote spatial ecologist in the United States is $59,547.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $74,000.00 per year, depending on experience, location, and employer.

How does a Remote Spatial Ecologist typically collaborate with other team members and stakeholders while working remotely?

As a Remote Spatial Ecologist, collaboration often involves frequent virtual meetings with interdisciplinary teams, including data analysts, conservation biologists, and GIS specialists. Communication tools like Slack, Zoom, and collaborative GIS platforms are commonly used to share findings, align on project goals, and troubleshoot data-related challenges. Despite working remotely, you can expect to participate in team discussions, present spatial analysis results, and occasionally coordinate with field teams for ground-truthing efforts. Building strong digital communication skills and being proactive about updates help ensure successful teamwork and project outcomes.

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

To thrive as a Remote Spatial Ecologist, you need expertise in ecology, spatial analysis, and a strong background in GIS or remote sensing, typically supported by a relevant degree in environmental science or ecology. Familiarity with tools like ArcGIS, QGIS, R, and remote sensing software, as well as experience with spatial data modeling and analysis, is essential. Strong analytical thinking, attention to detail, and effective communication skills make candidates stand out in this role. These skills ensure accurate ecological data interpretation, impactful research, and effective collaboration within multidisciplinary teams addressing environmental challenges.

What is a Remote Spatial Ecologist?

A Remote Spatial Ecologist is a professional who studies the relationships between organisms and their environments by analyzing spatial data, often using Geographic Information Systems (GIS) and remote sensing technologies. They typically work from a remote location, using satellite imagery, maps, and computer models to understand ecological patterns and processes. Their work helps inform conservation efforts, land management, and environmental policy by providing insights into habitat distribution, species movement, and landscape changes. Remote Spatial Ecologists often collaborate with researchers, government agencies, and non-profits to support data-driven ecological decision-making.

What is the difference between Remote Spatial Ecologist vs Remote Wildlife Biologist?

AspectRemote Spatial EcologistRemote Wildlife Biologist
Required CredentialsBachelor's or Master's in Ecology, Geography, or related field; GIS certifications often preferredBachelor's or Master's in Wildlife Biology, Ecology, or related field; often requires species-specific knowledge
Work EnvironmentPrimarily office-based with GIS and remote data analysis; fieldwork less commonMostly office-based for research and data analysis; some fieldwork depending on role
Employer & Industry UsageUsed by environmental consulting firms, research institutions, government agenciesCommon in conservation organizations, government agencies, research institutions

The main difference is that Remote Spatial Ecologists focus on spatial data analysis, GIS, and mapping to study ecological patterns, while Remote Wildlife Biologists often concentrate on species research and conservation. Both roles require ecological knowledge but differ in technical skills and daily tasks.

More about Remote Spatial Ecologist jobs
What cities are hiring for Remote Spatial Ecologist jobs? Cities with the most Remote Spatial Ecologist job openings:
What are the most commonly searched types of Spatial Ecologist jobs? The most popular types of Spatial Ecologist jobs are:
What states have the most Remote Spatial Ecologist jobs? States with the most job openings for Remote Spatial Ecologist jobs include:
Infographic showing various Remote Spatial Ecologist job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% Remote job distribution, with an average salary of $59,547 per year, or $28.6 per hour.

Full-time

Medical, Retirement, PTO

Posted 13 days ago


Job description

Job Overview:
The need for proven wildfire hazard and risk modeling has never been greater. Our wildlands are at a tipping point and need streamlined approaches to assessing, planning, and implementing wildfire risk mitigation measures. Land managers, emergency responders, community planners, insurers, and many others have needs for reliable information on wildfire risk. Further, there is emerging demand for actionable wildfire risk information from the energy, construction, and industrial sectors.
The cultivation of data and application of science into strategic frameworks that enable tradeoff analysis and risk-informed decision making is critical to reducing catastrophic wildfire events. The Vibrant Planet Platform (VPP) is a decision support system for hazard mitigation and ecological restoration so we can help communities and managers get to implementation fast and effectively adapt those plans when conditions inevitably change. Pyrologix's fire modeling capabilities are the engine that support hazard and risk modeling not only in VPP but also across many sectors including utilities, communities, and insurance. We need additional talent to support Vibrant Planet's and Pyrologix's growing demand.
We are seeking an experienced, technically skilled, and highly motivated individual with an eye for customer-focused delivery of state-of-the-art wildfire analytics. The individual will join the Pyrologix Applied Fire Science team and develop, improve, and further automate wildfire fire modeling, provide spatial analysis, and support other wildfire analytics as assigned. The position is remote (a hybrid home-and-office arrangement based in Missoula, Montana would be preferred). Working comfortably and effectively as part of a distributed team is crucial. Some travel may be required.
Responsibilities:
  • Improve fire modeling calibration and validation and potentially develop new fuel and fire modeling approaches
  • Contribute to further development of fire behavior modeling automation
  • Perform spatial and temporal data analysis across large landscapes
  • Develop and implement spatial data and modeling frameworks
  • Develop and adhere to data standards
  • Incorporate data quality assurance and quality control into all work products
  • Document methodology and contribute to reports, presentations and other publications
  • Contribute to proposal development for new business opportunities

Required Qualifications:
  • Experience designing and performing custom analyses of vector and raster results of inputs and outputs of a wide range of fire modeling systems
  • Experience parameterizing, operating and interpreting incident-level wildfire behavior modeling systems such as FSPro, FARSITE, and their equivalents
  • Proficient at using commercial or open-source GIS software (ArcMap, ArcGIS, or QGIS, for example) to perform spatial analysis of vector and raster data
  • Experience writing or editing scripts to perform spatial analysis
  • Able to function well as part of a multi-disciplinary problem-solving team
  • Excellent attention to details
  • Ability to learn new concepts quickly
  • Excellent oral and written communication skills

Desired Qualifications:
  • Working knowledge of Rothermel-based spatial fire behavior modeling systems such as FSim, RANDIG, FConst, FSPro or FlamMap
  • Working knowledge of how fire behavior modeling inputs-including surface and canopy fuel characteristics, weather/climate, and topography-affect fire behavior characteristics
  • Experience producing and/or analyzing spatial fire modeling outputs, including burn probability, fire intensity, perimeter polygons, ignition sources, such as datasets hosted on the FS Research Data Archive.
  • Experience with fuelscape vegetation and fuels datasets, such as datasets produced by LANDFIRE's vegetation team and fuels team. Some examples of these datasets include: Existing Vegetation Type (EVT), Fuels Vegetation Cover (FVC), Canopy Cover (CC), Canopy Base Height (CBH), and Fuel Disturbance (FDist).
  • Experience working in wildfire sciences and/or management, such as incident response, fuels management, fire research, etc.
  • Experience with Python geospatial libraries such as GeoPandas, Rasterio, Shapely, GDAL, and ArcPy (or equivalent in R) with the ability to utilize existing Python scripts and to contribute to the enhancement and automation of fire modeling.
  • Familiarity with land management and wildfire decision support datasets, models, software, and workflows. For example, LANDFIRE, Wildland Fire Decision Support System (WFDSS), FlamMap, Nexus, WindNinja, FSim, Interagency Fuel Treatment Decision Support System (IFTDSS), Google Earth Engine.
  • Familiarity with processing remote sensing datasets such as LiDAR, NAIP, and LANDSAT.
  • Understanding of ecology in dry forests and Mediterranean environments and ecological forest management; ability to effectively communicate scientific concepts to lay audiences.
  • Experience supporting risk-based wildfire-incident decision making as part of a large-fire incident management team (e.g., LTAN, FBAN, etc.)

Duty Requirements:
  • Full time, year-round employment with existing legal authorization to work in the US
  • Ability to work normal business hours with a team based in the Mountain and Pacific time zones
  • Remote position with an operational home office with sufficient internet speed
  • Office space available in Missoula, MT

Compensation:
  • $100-130k base salary (dependent on experience and qualifications)

Benefits:
  • Health insurance
  • Unlimited PTO policy
  • 401k
  • Company equity
  • Home office set-up allowance (one time)

Equal Opportunity Employer:
Vibrant Planet and Pyrologix are committed to diversity. We encourage applicants from all cultures, races, colors, religions, sexes, national or regional origins, ages, disability status, sexual orientation, gender identity, military, or other status protected by law to apply.
We are interested in finding the best candidate for the job, and that candidate may come from a less traditional background, but have capacity to grow into and thrive in the position after some mentoring. We do not require that you have experience with every job description task. We will consider any equivalent combination of knowledge, skills, education, and experience to meet minimum qualifications. We encourage each candidate to think broadly about their unique background and skill set and how it may relate to the role.