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Quantitative Ecology Jobs in Silver Spring, MD (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 ...

Quantitative Ecology information

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$32.1K

$93.7K

$151K

How much do quantitative ecology jobs pay per year?

As of Aug 26, 2026, the average yearly pay for quantitative ecology in Silver Spring, MD is $93,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,200.00 and $123,100.00 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.

What are popular job titles related to Quantitative Ecology jobs in Silver Spring, MD?

For Quantitative Ecology jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Quantitative Ecology jobs in Silver Spring, MD look for?

The top searched job categories for Quantitative Ecology jobs in Silver Spring, MD are:

Infographic showing various Quantitative Ecology job openings in Silver Spring, MD as of August 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 94% In-person, 2% Hybrid, and 4% Remote job distribution, with an average salary of $93,639 per year, or $45 per hour.

Senior Quantitative Scientist

Think Tank, Inc.

Silver Spring, MD โ€ข On-site

$94K - $129K/yr

Full-time

Re-posted 15 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.