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Quantitative Ecology Jobs (NOW HIRING)

Peer-reviewed publication record in fisheries ecology, quantitative ecology, or related field.Collaboration with tribal representatives and regional resource management partners.Presenting results at ...

Scientist VII

Lafayette, LA ยท On-site

$98K - $101K/yr

D. in coastal wetlands ecology, ecology, environmental science, statistics, quantitative ecology, or a closely related scientific discipline required. * At least seven years of post-Ph.D.-level ...

Students who have already excelled in SUS201L or SUS404 (Quantitative Ecology) are preferred, but anyone with solid science skills and some programming knowledge can apply. Applicants must be ...

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How much do quantitative ecology jobs pay per year?

As of Aug 21, 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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What cities are hiring for Quantitative Ecology jobs?

Cities with the most Quantitative Ecology job openings:

What are the most commonly searched types of Quantitative Ecology jobs?

The most popular types of Quantitative Ecology jobs are:

What states have the most Quantitative Ecology jobs?

States with the most job openings for Quantitative Ecology jobs include:

Infographic showing various Quantitative Ecology job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 92% In-person, 3% Hybrid, and 5% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.

Quantitative Analyst (COMPASS Modeling)

AIS (Applied Information Sciences)

Seattle, WA โ€ข On-site

Full-time

Medical, Dental, PTO

Re-posted 6 days ago


Job description

A.I.S., Inc. (AIS) is a national scientific services firm supporting maritime activities requiring certification of compliance with environmental regulations as well as collecting data for use by Federal, State, Municipal, and other government agencies along the US coastline. AIS is looking for a Quantitative Analyst (Comprehensive Passage (COMPASS) modeling) to support National Oceanic and Atmospheric Administration (NOAA) Fisheries, Northwest Fisheries Science Center (NWFSC), Fish Ecology Division (FE).


Primary Function:

The Quantitative Analyst supports the FED by developing and advancing the Comprehensive Passage (COMPASS) model to evaluate the effects of stressors and management actions across fish life cycles in river systems. This position applies statistical modeling, computer modeling, quantitative ecological analysis, and other quantitative modeling techniques to produce management-ready products that inform ESA litigation responses, permitting decisions, and hydrosystem management for Pacific salmon in the Columbia River basin and other West Coast systems. This position is contingent upon contract award and available funding.


Duties / Responsibilities:

  • 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 a combination of statistical modeling, computer modeling, statistical analysis, quantitative ecological analysis, and other quantitative modeling techniques.
  • Construct and implement models evaluating survival and migration through the hydropower system (COMPASS model) to address requests by the West Coast Regional Office 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 via open-science platforms (e.g., GitHub) so that others can easily interact with them and understand what was done.
  • Write reports, contribute to journal manuscripts, and present results at regional and national meetings and scientific conferences, as needed.
  • Ensure all analyses are conducted with accepted methods and QA/QC, and that modeling components are completed and integrated into COMPASS and life cycle models for the Columbia River basin, and others as needed.
  • Prepare written status reports and other ad hoc communications as needed.
  • Assist with field collection of fish and environmental data in freshwater, estuarine, and nearshore marine environments of the West Coast region, as needed. This involves operating outdoors in sometimes harsh conditions in or around water, and may involve riding in vehicles and/or boats.


Compensation:

Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending on candidates' depth of experience. This is a full-time position. AIS benefits package includes health and dental insurance, vacation, sick and holiday benefits.


Minimum Qualifications:

  • Bachelor's degree from an accredited college or university with a major in a field of study related to statistics, mathematics, fisheries, ecology, or the natural sciences.
  • Three (3) or more years of experience
  • Excellent communication skills, and experience writing reports and contributing to peer-reviewed articles.
  • Strong quantitative skills including extensive experience in modeling and data analysis.
  • Extensive experience executing statistical analysis and modeling in R, with an emphasis on strong skills coding in R.
  • Familiarity interpreting or interfacing with C or C++ code within a scientific modeling context.
  • Familiarity with common software used in the workplace such as Google Suite and Microsoft Office.
  • Ability to manage workload, stay organized, and produce high-quality work products efficiently.
  • Ability to work both independently and on interdisciplinary teams.
  • Must possess and maintain a valid driver's license during the period of performance.
  • Must be able to pass a background investigation and be suitable for public trust classification prior to beginning performance.


Preferred Qualifications:

  • Master's degree in a related quantitative or natural science field.
  • Experience with Bayesian statistical methods and mark-recapture analysis.
  • Experience with Bayesian modeling programs Stan and JAGS.
  • Computational experience utilizing command-line environments (e.g., Linux/shell scripting) for processing data.
  • Experience with open science concepts and platforms.

Travel:

  • Travel is anticipated.
  • Personnel may periodically be required to drive Government vehicles; when a Government vehicle is not available, mileage on a personal vehicle is reimbursed in accordance with the Federal Travel Regulation.


Location:

  • 2725 Montlake Blvd. East, Seattle, WA 98112 (Northwest Fisheries Science Center) or at one of the science centers associated field stations.


An Equal Opportunity Employer

It is the policy of A.I.S. to recruit, hire, train, promote, transfer and compensate our employees and provide all other conditions of employment including Company sponsored events without regard to race, color, creed, religion, national origin, age, sex, gender identity, genetic information, marital status, lawful alien status, sexual orientation, physical or mental disability, citizenship status, veteran status or any other status protected by applicable law.

Must be able to work in the U.S. VEVRAA Federal Contractor Request Priority Protected Veteran Referrals Equal Opportunity Employer