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Statistical Ecology Jobs (NOW HIRING)

The Pennsylvania State University

$16/hr

We are recruiting research assistants for the Lowry Weed Ecology Lab to assist with experiments in ... CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy ...

Versar, Inc.

PTOC Senior Benthic Ecologist

Columbia, MD · On-site

$60/hr

Knowledge of estuarine benthic ecology is required. Tasks will include managing marine/estuarine ... Experience in statistical applications and ecological problems (programming skills required ...

Oxman

Computational Ecologist

New York, NY · On-site

$152K - $203K/yr

Working across disciplines-from architecture and ecology to materials science and computation, we ... Ecological modeling methods: agent-based, ODE/PDE, network, and Bayesian/statistical modeling ...

WSP

Lead Forest Ecologist

Portland, OR · On-site +1

$141/hr

Lead/organize forestry and/or ecology field data collection and prepare related reports * Advise ... other statistical analyses to support multiple projects * Participate in wildfire mitigation ...

WSP

Lead Forest Ecologist

Portland, OR · On-site

$141/hr

Lead/organize forestry and/or ecology field data collection and prepare related reports * Advise ... other statistical analyses to support multiple projects * Participate in wildfire mitigation ...

Exponent Inc.

Statistical Scientist (Ph.D.)

Bellevue, WA · On-site

$133K - $150K/yr

Key statistics: * 950+ Consultants * 640+ Ph.D.s * 90+ Disciplines * 30+ Offices globally Our ... Applying risk analysis methodologies to problems in engineering, health, finance, ecology, and the ...

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All JobsStatistical Ecology Jobs

Statistical Ecology information

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$68K

$90.1K

$107.5K

How much do statistical ecology jobs pay per year?

As of Jul 8, 2026, the average yearly pay for statistical ecology in the United States is $90,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $106,500.00 per year, depending on experience, location, and employer.

What is the difference between Statistical Ecology vs Ecological Data Analyst?

AspectStatistical EcologyEcological Data Analyst
Required CredentialsDegree in Ecology, Statistics, or related field; often requires advanced statistical trainingDegree in Ecology, Data Science, or related field; strong data analysis skills
Work EnvironmentResearch institutions, environmental agencies, academiaEnvironmental consulting firms, research organizations, government agencies
Industry UsageDesigns and applies statistical models to ecological dataAnalyzes ecological datasets to inform conservation and management decisions

While both roles involve ecological data, Statistical Ecology focuses on developing and applying statistical models to understand ecological systems, whereas Ecological Data Analysts primarily process and interpret ecological data to support decision-making. Both roles require strong statistical and ecological knowledge but differ in their core focus and application.

What is statistical ecology?

Statistical ecology is a scientific field that combines statistical methods with ecological studies to analyze and interpret complex data about ecosystems, species, and environmental processes. It involves developing and applying statistical models to understand patterns in biodiversity, species distribution, population dynamics, and ecological interactions. Statistical ecologists use data from field observations, experiments, and remote sensing to answer ecological questions, inform conservation efforts, and guide environmental policy. The field is essential for addressing challenges such as habitat loss, climate change, and species conservation by providing evidence-based insights.

How does a Statistical Ecologist typically collaborate with field ecologists and data scientists during a research project?

Statistical Ecologists often work closely with field ecologists to design studies and ensure that data collection protocols will yield statistically valid results. They also collaborate with data scientists to manage, clean, and analyze large ecological datasets, applying advanced statistical models to interpret complex ecological patterns. Effective communication and teamwork are essential, as Statistical Ecologists must translate scientific questions into analytical approaches and clearly present findings to multi-disciplinary teams. This collaborative environment fosters a dynamic workflow, with regular meetings and shared problem-solving to address emerging research challenges.

What are the key skills and qualifications needed to thrive as a Statistical Ecologist, and why are they important?

To thrive as a Statistical Ecologist, you need a solid background in statistics, ecology, and data analysis, often supported by an advanced degree in ecology, statistics, or a related field. Familiarity with statistical software such as R, GIS platforms, and experience with ecological modeling tools are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings to diverse audiences help set candidates apart. These skills ensure accurate analysis of ecological data, effective research outcomes, and actionable insights for conservation and management efforts.
Infographic showing various Statistical Ecology job openings in the United States as of July 2026, with employment types broken down into 54% Full Time, 37% Part Time, 3% Temporary, and 6% Nights. Highlights an 62% Physical, 3% Hybrid, and 35% Remote job distribution, with an average salary of $90,119 per year, or $43.3 per hour.
Postdoctoral Investigator in Plankton Ecology and Trophic Dynamics

Postdoctoral Investigator in Plankton Ecology and Trophic Dynamics

Woods Hole Oceanographic Institution

Woods Hole, MA • On-site

$68K - $75K/yr

Full-time

Posted 27 days ago

Job description

Job Summary
A Postdoctoral Investigator (PDI) position is available in the Biology Department at the Woods Hole Oceanographic Institution (WHOI) to study environmental impacts on plankton food webs and trophic dynamics in the Northwest Atlantic ocean ecosystem. The successful candidate will join an interdisciplinary research program focused on understanding how physical oceanographic variability influences plankton communities and the transfer of energy to higher trophic levels, including forage fish, marine mammals, and endangered North Atlantic right whales. The projects integrate long-term observations, ocean observing systems, statistical analyses, and ecosystem modeling to improve understanding and prediction of ecosystem variability across seasonal to decadal time scales.
Job Description
Responsibilities
The PDI will contribute to several ongoing projects examining multi-trophic ecosystem variability in the Northwest Atlantic Ocean. Responsibilities may include:
  • Analysis and synthesis of long-term plankton and oceanographic datasets from observational programs and model outputs;
  • Development of statistical and machine-learning approaches (e.g., GAMs, Random Forests, synchrony analyses);
  • Investigation of plankton population dynamics and trophic transfer;
  • Participation in coupled physical-biological modeling and connectivity analyses;
  • Preparation of peer-reviewed publications and conference presentations;
  • Contributing to proposal development and collaborative research initiatives involving federal agencies, regional research programs, and academic partners.

The position provides opportunities to work with a broad interdisciplinary network of collaborators involved in ecosystem observation and assessment, biological-physical interactions, and ecosystem forecasting across the Northwest Atlantic ecosystem.
Qualifications
Applicants should have:
  • A Ph.D. in biological oceanography, marine ecology, oceanography, ecology, environmental science, or a related field;
  • Experience working on plankton ecology and pelagic ecosystem dynamics (preferred);
  • Strong quantitative and analytical skills, with preference for experience in coupled physical-biological modeling, statistical analyses, and/or machine-learning approaches; Experience working with ecological or oceanographic datasets is preferred;
  • Proficiency in scientific programming and data analysis (e.g., R, Python, MATLAB);
  • A demonstrated record of peer-reviewed scientific publication; and
  • The ability to work effectively in interdisciplinary collaborative environments.

Appointment
This is a two-year position based in the Biology Department at Woods Hole Oceanographic Institution, with the expectation that the successful candidate will work on site. Continuation into the second year is contingent upon satisfactory performance and the availability of funding.
Review of applications will begin on July 15, 2026, and continue until the position is filled. The tentative start date is September 1, 2026.
Application Materials
Applicants should submit: 1) A cover letter describing research interests and relevant experience; 2) Curriculum vitae; and 3) Contact information for three references.
Interested candidates should contact Dr. Rubao Ji (rji@whoi.edu) for additional information. Applications should be submitted through the WHOI Careers website: https://careers.whoi.edu.
Additional Job Requirements
Additional Job Requirements
Salary Range: $68,381-$75,498
The salary range provided for this position reflects the expected minimum and maximum base pay for new hires. Actual compensation will be determined based on factors such as relevant skills, experience, and qualifications, as well as internal equity and market conditions. In addition to base salary, eligible employees also receive a comprehensive benefits package.
WHOI accepts applications on a rolling basis - applications will be reviewed as they are received, and we encourage you to submit your application as soon as possible to ensure full consideration. While we will continue to review applications until the position is filled, and early applicants may have an advantage in the selection process.
EEO Statement
Woods Hole Oceanographic Institution (WHOI) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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