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$94.5K

How much do remote freshwater ecology jobs pay per year?

As of Jul 29, 2026, the average yearly pay for remote freshwater ecology in the United States is $58,983.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $70,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Freshwater Ecology vs Remote Marine Ecology?

AspectRemote Freshwater EcologyRemote Marine Ecology
Required CredentialsBachelor's or higher in Ecology, Environmental Science, or related fields; certifications in water quality or ecological assessmentBachelor's or higher in Marine Biology, Oceanography, or related fields; certifications in marine conservation or water quality
Work EnvironmentFieldwork in freshwater systems, laboratory analysis, data modeling, report writingFieldwork in marine environments, data analysis, remote sensing, report writing
Employer & Industry UsageResearch institutions, environmental consulting firms, government agencies focused on freshwater ecosystemsResearch institutions, NGOs, government agencies focused on marine environments

Remote Freshwater Ecology and Remote Marine Ecology share similar skills and certifications but differ mainly in their focus on freshwater versus marine environments. Both roles involve ecological assessment, data analysis, and report writing, often working remotely for research or conservation organizations. The key difference lies in the specific ecosystems studied and the relevant certifications required.

What are some common challenges faced by remote freshwater ecologists and how can they be addressed?

Remote freshwater ecologists often face challenges such as limited access to field sites, reliance on remote sensing data, and coordinating with on-site teams or stakeholders. Overcoming these challenges typically involves leveraging advanced technologies like satellite imagery, drones, and sensor networks for data collection, as well as maintaining clear communication with local collaborators. Building strong organizational and digital skills also helps ensure data quality and project efficiency when working from a distance.

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

To thrive as a Remote Freshwater Ecologist, you need a solid background in ecology, hydrology, and environmental science, usually supported by a relevant degree. Experience with GIS software, remote sensing tools, water quality monitoring equipment, and data analysis platforms is typically required. Strong analytical thinking, attention to detail, and effective written and verbal communication are valuable soft skills in this role. These competencies are essential for accurately assessing freshwater ecosystems and conveying findings to stakeholders or regulatory bodies.

What is remote freshwater ecology?

Remote freshwater ecology is the study of freshwater ecosystems—such as lakes, rivers, and wetlands—using remote techniques like satellite imagery, drones, and sensor networks. These methods allow scientists to monitor water quality, track ecological changes, and collect data from locations that may be difficult to access in person. The field combines ecology, technology, and data analysis to better understand and protect freshwater environments on a larger scale. Remote freshwater ecology is increasingly important for managing water resources, tracking pollution, and assessing the impacts of climate change.
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What cities are hiring for Remote Freshwater Ecology jobs? Cities with the most Remote Freshwater Ecology job openings:
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Remote Freshwater Ecology jobs near you
Infographic showing various Remote Freshwater Ecology job openings in the United States as of July 2026, with employment types broken down into 52% Full Time, 45% Part Time, 2% Temporary, and 1% Contract. Highlights an 55% Physical, 2% Hybrid, and 43% Remote job distribution, with an average salary of $58,983 per year, or $28.4 per hour.
Postdoctoral Associate - Forest Futures Lab/Western Fire and Forest Resilience Collaborative

Postdoctoral Associate - Forest Futures Lab/Western Fire and Forest Resilience Collaborative

Cary Institute of Ecosystem Studies

Millbrook, NY • Remote

Full-time

Posted 4 days ago

Job description

Salary transparency statement This is a full-time, fully benefitted exempt position with a one-year initial appointment, renewable for an additional year contingent on performance and funding. Annual salary starts at $74,263.00 , based on postdoctoral experience, with a highly competitive benefits and time-off package.

Position Summary

The Cary Institute of Ecosystem Studies seeks a collaborative, synthetic postdoctoral associate to join the Western Fire and Forest Resilience Collaborative and the Forest Futures Lab. The Fire Collaborative includes 12 science teams and a team of boundary spanners working together to advance predictive science in fire ecology and ecosystem resilience in ways that are actionable for western US land managers. The postdoctoral associate will integrate remote sensing and geospatial data to determine how fire regimes affect western US river runoff and the drivers of fire-water relationships. This role offers leadership opportunities and the freedom to pursue independent research within a supportive and nurturing lab environment.

The position is based at the Cary Institute in the beautiful Hudson Valley of New York, a short way north of New York City. The Cary Institute is home to a diverse, vibrant, and supportive community of colleagues. The anticipated start date is on or around January 4th, 2027.

Questions about the position may be directed to Dr. Winslow Hansen at the Cary Institute.

Essential Responsibilities

Present research findings in peer-reviewed papers, at scientific meetings, and in other forums.

Work with colleagues in the Fire Collaborative to develop, lead, and implement independent research that enhances fire ecology and ecosystem resilience strategies.

Leverage remote sensing and geospatial data in AI and Bayesian analytical frameworks to characterize relationships between fire and subsequent river runoff in western US watersheds.

Engage with Collaborative boundary spanners, scientists, policymakers, and stakeholders to ensure research findings effectively inform fire and forest management strategies.

Contribute to a dynamic and interdisciplinary research environment at the Cary Institute.

Required Qualifications

Ph.D. in forest ecology, disturbance ecology, remote sensing, AI, or a related field prior to appointment.

Demonstrated expertise in Earth observation, ecological remote sensing, fire ecology.

Experience working with western US practitioners for producing actionable science.

Strong quantitative and analytical skills, particularly with Bayesian and AI-based analyses.

Ability to work independently.

Proficiency with Google Earth Engine.

Strong written and oral communication skills.

Proficiency in programming languages such as R, Python, Java script.

Preferred Qualifications (Not required in every job description only as needed)

Past postdoctoral experience.

Proven record of successful collaboration in team-science environments.

Past experience linking terrestrial disturbances with outcomes in adjacent freshwater systems.

Past experience using remote sensing to characterize ecological disturbance in western landscapes.

Working Conditions

Full-time, Exempt, fully benefitted position.

Occasional travel for field work or meetings is required.

Will require computer work for 7 hours or more a day.

Closing Date: Review of applications will begin 05/19/2026

To Apply:

Visit our website at https://www.caryinstitute.org/... and complete our online job application. Please submit one document that includes a cover letter (no more than 2 pages) describing research interests, CV, and contact information for three references. The Cary Institute is an Equal Employment Opportunity (EEO) employer. It is the policy of the Institute to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, familial status, protected veteran or disabled status, or genetic information.

Employment Type: FULL_TIME

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