Quantitative Ecology Remote information
See salary details
$98K - $112.7K
15% of jobs
$112.7K - $127.4K
7% of jobs
$132K is the 25th percentile. Wages below this are outliers.
$127.4K - $142K
9% of jobs
$142K - $156.7K
14% of jobs
The median wage is $163.4K / yr.
$156.7K - $171.4K
12% of jobs
$171.4K - $186.1K
14% of jobs
$192.1K is the 75th percentile. Wages above this are outliers.
$186.1K - $200.8K
12% of jobs
$200.8K - $215.5K
7% of jobs
$215.5K - $230.1K
5% of jobs
$230.1K - $244.8K
5% of jobs
$244.8K - $259.5K
0% of jobs
How much do quantitative ecology remote jobs pay per year?
As of Aug 17, 2026, the average yearly pay for quantitative ecology remote in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.
Quantitative ecology is a branch of ecology that uses mathematical, statistical, and computational tools to analyze ecological data and address ecological questions. Quantitative ecologists develop and apply models to study patterns and processes in the natural world, such as species distribution, population dynamics, and ecosystem function. This field is essential for making informed decisions in conservation, resource management, and environmental policy, especially as ecological data becomes increasingly complex and abundant. Remote quantitative ecologists often use programming, data analysis, and modeling techniques to work with large datasets from various locations.
In a remote Quantitative Ecology position, collaboration with interdisciplinary teams is essential, as projects often require expertise from biology, statistics, data science, and environmental policy. Communication is usually facilitated through virtual meetings, collaborative platforms, and shared data repositories, ensuring seamless integration of diverse skill sets. Regular coordination with team members helps in aligning research objectives, troubleshooting data issues, and synthesizing findings for broader ecological insights. Remote work also demands strong organizational skills and proactive communication to maintain project momentum and foster effective teamwork.
To thrive as a Quantitative Ecologist working remotely, you need a strong background in ecology, statistics, and data analysis, often supported by an advanced degree in ecology, environmental science, or a related field. Familiarity with statistical software (such as R or Python), GIS tools, and remote collaboration platforms is typically required. Excellent problem-solving, self-motivation, and communication skills help you interpret complex data and work effectively with dispersed teams. These skills are crucial for producing rigorous scientific insights and effectively contributing to research projects from a remote environment.
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