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Quantitative Ecology Jobs (NOW HIRING)

Oxman

Computational Ecologist

New York, NY · On-site

$152K - $203K/yr

Working across disciplines-from architecture and ecology to materials science and computation, we ... Development of quantitative metrics to assess ecosystem health, stability, and service provision.

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Quantitative Ecology information

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$31K

$90.6K

$146K

How much do quantitative ecology jobs pay per year?

As of Aug 13, 2026, the average yearly pay for quantitative ecology in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the quantitative ecology position, and why are they important?

To thrive as a Quantitative Ecologist, you need strong analytical skills in statistics, mathematics, and ecological theory, typically supported by a degree in ecology, mathematics, or a related field. Expertise in programming languages such as R or Python, as well as familiarity with GIS software and statistical modeling tools, is highly valued. Effective communication, problem-solving abilities, and collaboration are crucial soft skills in this field. These competencies are essential for designing robust studies, interpreting complex ecological data, and working efficiently within multidisciplinary teams.

Are quantitative ecologists in high demand?

Quantitative ecologists are in increasing demand due to the need for data-driven environmental management and conservation efforts. They often work with statistical software and modeling tools, and job opportunities are available in academia, government agencies, and environmental consulting firms.

What are some common challenges faced by quantitative ecologists in their daily work?

Quantitative Ecologists often encounter challenges related to managing and analyzing large, complex datasets, which require advanced statistical and programming skills. Interpreting ecological patterns and making predictions can be complicated by incomplete or noisy data, as well as by the variability inherent in natural systems. Working in this role also involves frequent collaboration with field ecologists, data scientists, and conservation managers, which can present coordination and communication challenges. However, overcoming these difficulties offers valuable opportunities to contribute to meaningful environmental solutions and scientific advancements.

What are 5 potential jobs for ecology?

In ecology, common career options include ecological researcher, conservation scientist, environmental consultant, wildlife biologist, and ecological modeler. These roles often require skills in data analysis, fieldwork, and use of software like R or GIS. They can be found in government agencies, research institutions, environmental consulting firms, and non-profit organizations.

What is a quantitative ecology?

A Quantitative Ecology job involves using mathematical, statistical, and computational methods to analyze ecological data and understand environmental patterns. Professionals in this field develop models to study species populations, ecosystems, climate impacts, and conservation strategies. They often work with large datasets, geographic information systems (GIS), machine learning, and statistical software to inform ecological research and policy decisions. These roles can be found in academia, government agencies, environmental consulting firms, and non-profit organizations focused on conservation and sustainability.

What does a quantitative ecologist do?

A quantitative ecologist uses mathematical models, statistical methods, and computational tools to analyze ecological data and understand patterns in ecosystems. They often work with large datasets, develop simulations, and apply programming skills in languages like R or Python to inform conservation and management decisions.
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Quantitative Ecology jobs near you
Infographic showing various Quantitative Ecology job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $90,579 per year, or $43.5 per hour.

Quantitative Analyst -- COMPASS Modeling

Think Tank, Inc.

Seattle, WA • On-site

Full-time

Re-posted 5 days ago

Job description

*Position is Subject to Contract Award POSITION DESCRIPTION:Description of Duties:Develop and advance the Comprehensive Passage (COMPASS) model for application in river systems to evaluate effects of stressors and management actions across fish life cycles, using statistical modeling, computer modeling, statistical/quantitative analysis, and other quantitative modeling techniques.Construct and implement models evaluating survival and migration through the hydropower system (COMPASS model) to address West Coast Regional Office requests in support of ESA litigation and permitting.Collaborate with regional managers and researchers to structure, synthesize, and manage environmental and biological data relevant to modeling needs.Document and share reproducible research workflows and analytical products.Write reports, contribute to journal manuscripts, and present results at regional and national meetings and conferences, as needed.Assist with field collection of fish and environmental data as needed (may involve riding in vehicles and/or boats). EDUCATION & EXPERIENCE:Required:Education: Bachelor's degree or higher from an accredited college/university with a major related to the task order and a strong quantitative background, with emphasis in statistics, mathematics, fisheries, ecology, or the natural sciences.Experience: Three (3) or more years of experience related to the task order.Desired:Master's degree preferred.Advanced degree in a related field - may substitute for two (MS) or four (PhD) years of experience CERTIFICATIONS: Required:Valid U.S. driver's license - required and maintained throughout the period of performance.Public trust suitability; background investigation cleared prior to beginning performance.Government-required training to be completed within 5 business days of start: NOAA IT Security, NOAA Safety, Sexual Assault/Sexual Harassment Prevention & Response (NAM 1330-52.222-70(b)(6)), and Records Management 101. RESPONSIBILITIES:Required (Deliverables):All analyses conducted with accepted methods and QA/QC.Assigned statistical and biological modeling components completed and integrated into COMPASS and life cycle models for the Columbia River basin, and others as needed.Reproducible analytical workflows documented; modeling scripts, methods, and results shared via open-science platforms (e.g., GitHub).Written status reports and other ad hoc communications; participation in field tasks as needed. SKILLS:Required:Extensive experience in modeling and data analysis; extensive experience executing statistical analysis and modeling in R, with strong R coding skills.Familiarity interpreting or interfacing with C or C++ code within a scientific modeling context.Familiarity with common workplace software such as Google Suite and Microsoft Office.Excellent communication skills; experience writing reports and contributing to peer-reviewed articles; able to work independently and on interdisciplinary teams. Desired:Experience with Bayesian statistical methods and mark-recapture analysis preferred.Computational experience with command-line environments (e.g., Linux/shell scripting) preferred; experience with open-science concepts.Experience with Bayesian modeling programs Stan and JAGS preferred.