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Full Time Quantitative Ecology Jobs (NOW HIRING)

Scientist VII

Lafayette, LA · On-site

$98K - $101K/yr

Pay commensurate with experience. Full time benefits include Medical, Dental, Vision, 401K, and ... D. in coastal wetlands ecology, ecology, environmental science, statistics, quantitative ecology ...

Strong quantitative, organizational, and communication skills. * Demonstrated ability to conduct ... BENEFITS Penn State provides a competitive benefits package for full-time employees designed to ...

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Full Time Quantitative Ecology information

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$98K

$169.7K

$259.5K

How much do full time quantitative ecology jobs pay per year?

As of Aug 30, 2026, the average yearly pay for full time quantitative ecology 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.

What is a full time quantitative ecologist?

A Full Time Quantitative Ecologist is a professional who uses statistical, mathematical, and computational techniques to study ecological systems and solve environmental problems. They analyze large datasets, build models, and interpret complex ecological data to better understand patterns such as species distributions, population dynamics, or ecosystem processes. These ecologists often collaborate with other scientists and use their findings to inform conservation strategies, policy decisions, and resource management. Full-time positions typically involve research, data analysis, reporting results, and sometimes teaching or mentoring.

What are the key skills and qualifications needed to thrive as a full time quantitative ecologist?

To thrive as a Full Time Quantitative Ecologist, you need expertise in ecological theory, statistical analysis, and modeling, typically supported by an advanced degree in ecology, biology, or a related field. Proficiency with statistical software (such as R or Python), GIS systems, and data management tools is commonly expected. Strong problem-solving skills, attention to detail, and the ability to communicate complex results to diverse audiences set candidates apart. These capabilities are crucial for designing robust studies, analyzing large datasets, and informing evidence-based ecological management decisions.

What are the main collaborative opportunities for a full time quantitative ecologist within interdisciplinary teams?

As a Full Time Quantitative Ecologist, you'll frequently collaborate with biologists, data scientists, and environmental managers to design studies, analyze large ecological datasets, and interpret results for conservation or policy purposes. These collaborations often involve integrating field data with advanced statistical modeling, GIS analyses, and sometimes remote sensing. Successfully working in these teams requires strong communication skills, as you'll often explain complex quantitative methods to colleagues from non-mathematical backgrounds and contribute to multi-disciplinary research projects. This collaborative environment not only broadens your expertise but also opens up various pathways for career development in academia, government, or private sectors.

What is the difference between Full Time Quantitative Ecology vs Data Scientist?

AspectFull Time Quantitative EcologyData Scientist
Required CredentialsMaster's or PhD in Ecology, Environmental Science, or related fieldsDegree in Computer Science, Statistics, or related fields; certifications like data science or machine learning are common
Work EnvironmentResearch institutions, environmental agencies, conservation organizationsTech companies, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in ecological research, conservation, and environmental managementAcross multiple sectors including tech, finance, and consulting

Full Time Quantitative Ecology focuses on ecological data analysis and environmental research, often requiring advanced degrees in ecology or related fields. Data Scientists work across diverse industries, applying statistical and machine learning techniques to large datasets. While both roles involve data analysis, their focus areas, work environments, and industry applications differ significantly.

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What cities are hiring for Full Time Quantitative Ecology jobs?

Cities with the most Full Time 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 Full Time Quantitative Ecology jobs?

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

Infographic showing various Full Time Quantitative Ecology job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 71% Physical, 6% Hybrid, and 23% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Senior Quantitative Scientist

Silver Spring, MD • On-site

Think Tank, Inc.
Photography Services • 11 - 50 employees

$94K - $129K/yr

Full-time

Re-posted 19 days ago


Job description

*US Citizenship Required*Full time Onsite Position at the NWFSC, Seattle, WA or at one of its associated field stations in WA or OR*Travel is anticipated*Anticipated Start: 4th quarter FY 2026*Position is Subject to Contract AwardPOSITION DESCRIPTIONThe Senior Quantitative Scientist will support the Northwest Fisheries Science Center (NWFSC) Fish Ecology Division by conducting advanced quantitative analyses and developing ecological models that inform fisheries management and conservation decisions throughout the Pacific Northwest and California. Working with NOAA scientists, natural resource managers, tribal representatives, and interdisciplinary research teams, the Senior Quantitative Scientist evaluates the effects of environmental conditions, habitat characteristics, ecological interactions, and management actions on fish populations and aquatic ecosystems.This position plays a critical role in analyzing large ecological datasets, developing and implementing fish life-cycle and stock assessment models, and generating scientific products that support sustainable fisheries management. The Senior Quantitative Scientist applies statistical, spatial, and computational approaches to understand drivers of fish abundance, growth, survival, and productivity across freshwater, estuarine, and marine habitats. Emphasis is placed on incorporating ecological interactions, including predator-prey dynamics and habitat influences, into quantitative assessments and management-support tools.REQUIREMENTSEducation – Doctorate from an accredited college or university with an emphasis in a field of study related to the requirements of the task order including geomorphology, oceanography, hydrology, fisheries, ecology, natural sciences, mathematics, and/or statistics.Experience – Three (3) years of experience related to the task order, including familiarity with the species and habitats managed by NOAA Fisheries in the West Coast region. An Advanced Degree (MS or PhD) in a related field may be substituted for two (2) years of experience.Excellent verbal and written communication, and experience writing reports and publishing peer-reviewed articles. Familiarity with common software used in the workplace such as Google Suite and Microsoft Office.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.Ability to manage workload, stay organized, and produce high-quality work products efficiently.Ability to work both independently and on interdisciplinary teams.The proposed personnel must possess and maintain the following skills/certifications and/or credentials during the period of performance: valid driver's license.DESIRED QUALIFICATIONSPeer-reviewed publication record in fisheries ecology, quantitative ecology, or related field.Collaboration with tribal representatives and regional resource management partners.Presenting results at regional and national scientific meetings and conferences.Familiarity with Pacific salmon, groundfish, or other NOAA WC managed species.Experience with Bayesian or hierarchical modeling approaches.Remote sensing data analysis (Landsat, LiDAR, or equivalent).ABOUT THINK TANK INC.Think Tank Inc. (TTI) is a CMMI Level 3 (DEV/SVC) appraised, ISO 9001, 27001, 20000-1, 31000, and 42001 certified provider of scientific, technical, and professional support services to federal agencies, including NOAA Fisheries under the ProTech 2.0 Fisheries IDIQ. Learn more at www.ttinc.com.Think Tank Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.