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Quantitative Ecology Jobs (NOW HIRING)

24-Mag Llc

$96 - $152/hr

Assess whether quantitative results support stated findings * Evaluate the clarity and usability of scientific data summaries Scientific Documents & Presentations * Evaluate scientific reports ...

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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 Sep 7, 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 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 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 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.

Does quantitative ecology pay good?

Quantitative ecology professionals typically earn competitive salaries, especially with advanced degrees and skills in statistical analysis, modeling, and programming. Salaries vary by experience, location, and sector, with opportunities in research institutions, government agencies, and environmental consulting firms offering solid compensation. The field often requires strong analytical skills and familiarity with tools like R or Python.

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 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.

Quantitative Analysis Data Science Support

Think Tank, Inc.

Seattle, WA • On-site

Full-time

Re-posted just now

Job description

*Position is Subject to Contract Award

POSITION DESCRIPTION:

Description of Duties:

  • Analyze spatial and temporal variability in abundance and composition of fish, their prey, competitors, predators, and habitats.
  • Analyze and generate relationships between fish responses (e.g., density, biomass, growth, survival) and stressors (environmental/ecological conditions, habitat metrics, management actions) in particular life stages.
  • Contribute statistical and spatial analysis expertise to construction and implementation of fish life cycle (stock assessment) models and simulations evaluating cumulative effects across life cycles - with emphasis on ecological interactions (predators, prey) and expanding model complexity in estuary and nearshore domains.
  • Share comprehensive workflow protocols and research products.
  • Write reports, contribute to journal manuscripts, and present results at regional and national meetings and scientific conferences, as needed.

EDUCATION & EXPERIENCE:

Required:

  • Education: Doctorate from an accredited college/university with an emphasis in a field related to the task order, including geomorphology, oceanography, hydrology, fisheries, ecology, natural sciences, mathematics, and/or statistics.
  • Experience: Five (5) or more years of relevant experience, including familiarity with the species and habitats managed by NOAA Fisheries in the West Coast region.

Desired:

  • 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):

  • Reproducible workflows documented; computer scripts and methods shared in an open-source framework such as GitHub.
  • Analysis products stored in an accessible, organized way; data and models shared via collaborative scientific platforms and public research repositories.
  • Written status reports and other ad hoc communications as needed.

SKILLS:

Required:

  • Strong quantitative skills including familiarity with modeling and data analysis; familiarity with software such as R, Python, GitHub and GIS, and with open-science concepts.
  • Excellent verbal and written communication; experience writing reports and publishing peer-reviewed articles.
  • Ability to manage workload, stay organized, and produce high-quality work efficiently; able to work independently and on interdisciplinary teams.

Apply