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Ecological Statistician Jobs (NOW HIRING)

Oxman

Computational Ecologist

New York, NY · On-site

$152K - $203K/yr

Ecological modeling methods: agent-based, ODE/PDE, network, and Bayesian/statistical modeling; uncertainty quantification * Geospatial analytics (GIS; GeoPandas/rasterio/GDAL) and spatial databases ...

WSP

Lead Forest Ecologist

Portland, OR · On-site

$141/hr

... other statistical analyses to support multiple projects * Participate in wildfire mitigation ... Lead or assist with GIS data generation and management, particularly for ecological data, for ...

WSP

Lead Forest Ecologist

Portland, OR · On-site +1

$141/hr

... other statistical analyses to support multiple projects * Participate in wildfire mitigation ... Lead or assist with GIS data generation and management, particularly for ecological data, for ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

D. in fisheries, biology/ecology, statistics, or related fields. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility ...

Lynker Corporation

Bioinformaticist

Miami, FL

$90K - $120K/yr

MS degree or higher in Marine Science, Biology, Oceanography, Ecology, Statistics, or a related field of study; or BS degree in Marine Science or a related field of study plus five years of relevant ...

Lynker

Bioinformaticist

Miami, FL · On-site

MS degree or higher in Marine Science, Biology, Oceanography, Ecology, Statistics, or a related field of study; or BS degree in Marine Science or a related field of study plus five years of relevant ...

Lynker Corporation

Bioinformaticist

Miami, FL

MS degree or higher in Marine Science, Biology, Oceanography, Ecology, Statistics, or a related field of study; or BS degree in Marine Science or a related field of study plus five years of relevant ...

Lynker Corporation

Bioinformaticist

Miami, FL · On-site

MS degree or higher in Marine Science, Biology, Oceanography, Ecology, Statistics, or a related field of study; or BS degree in Marine Science or a related field of study plus five years of relevant ...

Exponent

Statistical Scientist (Ph.D.)

Bellevue, WA · On-site

The Statistical Scientist will work within the Data Sciences Practice, focusing on data collection ... health, finance, ecology, and the environment • Providing support to internal and external ...

Exponent Inc.

Ecotoxicologist (Ph.D.)

Natick, MA · On-site

$92 - $112/hr

Our Opportunity We are currently seeking an Ecotoxicologist for our Ecological and Biological ... Managing data and conducting statistical data analysis * Developing and maintaining professional ...

Lynker Corporation

Bioinformaticist

Miami, FL · On-site

$90K - $120K/yr

MS degree or higher in Marine Science, Biology, Oceanography, Ecology, Statistics, or a related field of study; or BS degree in Marine Science or a related field of study plus five years of relevant ...

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Ecological Statistician information

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$50.5K

$86.9K

$116.5K

How much do ecological statistician jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ecological statistician in the United States is $86,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $98,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an ecological statistician, and why are they important?

To thrive as an Ecological Statistician, you need a robust background in statistics, ecology, and data analysis, typically supported by an advanced degree in statistics, ecology, or a related field. Proficiency with statistical software such as R, Python, and specialized ecological modeling tools, along with familiarity with GIS systems and data management platforms, is highly valued. Strong problem-solving abilities, clear communication, and collaborative skills are vital for working with multidisciplinary teams and conveying complex findings. These capabilities are essential for accurately analyzing ecological data, informing conservation strategies, and effectively communicating results to diverse stakeholders.

What does an ecological statistician do?

An Ecological Statistician analyzes environmental and ecological data using statistical methods to identify patterns, trends, and relationships in ecosystems. They work with biologists, conservationists, and policymakers to support research on biodiversity, climate change, and natural resource management. Their tasks may include designing experiments, developing models, and interpreting complex datasets to inform decision-making. They often use programming languages like R or Python and may work in academia, government agencies, or environmental organizations.

What types of projects or studies do ecological statisticians typically work on within an organization?

Ecological Statisticians are often involved in analyzing complex data from field studies, environmental monitoring, wildlife population assessments, and conservation impact evaluations. Projects can range from modeling species distributions and assessing biodiversity trends to evaluating the effects of land use or climate change on ecosystems. These roles commonly require collaboration with ecologists, biologists, and environmental managers to design studies and interpret data. As a result, your typical responsibilities will include statistical modeling, data visualization, report writing, and presenting findings to both technical and non-technical audiences.

More about Ecological Statistician jobs
What cities are hiring for Ecological Statistician jobs? Cities with the most Ecological Statistician job openings:
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Ecological Statistician jobs near you
Infographic showing various Ecological Statistician job openings in the United States as of August 2026, with employment types broken down into 64% Full Time, 34% Part Time, 1% Temporary, and 1% Contract. Highlights an 66% Physical, 2% Hybrid, and 32% Remote job distribution, with an average salary of $86,921 per year, or $41.8 per hour.

Computational Ecologist

Oxman

New York, NY • On-site

$152K - $203K/yr

Full-time

Re-posted 17 days ago

Job description

OXMAN
OXMAN is a nature-based research and design company based in Manhattan. We incubate ventures and technologies that reimagine the relationship between humanity and the natural world. Working across disciplines-from architecture and ecology to materials science and computation, we develop nature-centric solutions to critical environmental challenges.
EDEN
Nature provides humanity with services that are critical for survival: the sequestration of carbon, the filtration of water, and the production of the air we breathe. EDEN works to strengthen and regenerate these natural processes by cultivating biodiverse, resilient ecosystems that sustain life for all species-human and non-human alike.
EDEN is a digital design environment for engineering and designing ecosystems, modeling the flows, relationships, and processes that sustain them. We build tools that quantify how landscapes can be engineered to achieve specific performance goals, cooling cities, filtering water, sequestering carbon, and protecting key species, and use them to guide the design of ecologically active sites.
One hectare of well-designed landscape can sequester up to four times the annual emissions of an average home, filter enough water to support thirteen neighborhoods, and reduce ambient temperatures by more than ten degrees. EDEN enables designers to plan intentionally for these outcomes through analysis, simulation, and optimization, turning ecological function into an actionable design parameter.
Our design team works directly with clients to apply these tools toward site-specific goals, from logistics campuses and residential communities to rewilding and climate-resilient developments. Together with our clients, we are designing biodiverse, productive environments that serve both humanity and nature.
Key Responsibilities
  • Conceptualization and Research: Research and identify key ecosystem behaviours and interactions to create a comprehensive conceptual framework for general ecosystem modelling
  • Ecosystem Behaviour Modelling: Leading of the modelling of core ecosystem dynamics and interactions as defined in the conceptualization phase such as plant growth and succession etc.
  • Ecosystem Metrics Development: Development of quantitative metrics to assess ecosystem health, stability, and service provision.
  • Implementation and Documentation: Models will be implemented in a computationally efficient framework with thorough documentation to ensure usability and reproducibility.
  • Help in the gathering and integration of relevant environmental, ecological, and spatial data to underpin model parameters and validate model outcomes.
  • Conduct data analysis to in order to derive key insights necessary to develop ecosystem models and validate model parameters.
  • Technical documentation: Prepare comprehensive documentation outlining model assumptions, data sources, code structure, and operation for using and maintaining the models.
  • Continually communicate with the OXMAN team to ensure review of research, implementation, and seamless integration of the model into their workflows.
  • Participate in regular progress meetings (weekly or biweekly) with the team to review milestones, discuss challenges, and plan next steps.
  • Provide status updates summarizing progress, challenges encountered, and any adjustments to the project plan.
Key Goals and Outcomes
  • Development, deployment, and validation of a general ecosystem model within two quarters of the start date
Required Experience
  • A Ph.D. or equivalent experience in Computer Science, Computational Ecology, Systems Biology, or a related field.
  • Strong programming skills in languages such as Python, C++, or similar, with experience in frameworks like PyTorch, or JAX.
  • Strong foundation in modeling techniques (e.g., differential equations, agent-based modeling, network models, Bayesian approaches) for simulating ecological processes or population dynamics.
  • Experience handling large and often messy datasets common in ecology (e.g., climate data, remote sensing imagery, biodiversity records). Knowledge of spatial databases, parallel computing, or cloud-based data storage is a plus
Technical Skills
  • Python (NumPy/SciPy/pandas), reproducible research workflows, and Git-based version control
  • High-performance model implementation (vectorization, profiling/optimization); familiarity with PyTorch or JAX
  • Ecological modeling methods: agent-based, ODE/PDE, network, and Bayesian/statistical modeling; uncertainty quantification
  • Geospatial analytics (GIS; GeoPandas/rasterio/GDAL) and spatial databases (e.g., PostGIS) for integrating environmental and biodiversity data
  • Remote sensing and gridded data handling (e.g., xarray; land cover/land use change; climate rasters); comfort with messy real-world datasets
  • Clear technical documentation (assumptions, data provenance, APIs) and maintainable code (testing, modular design)
Essential Qualities
  • Systems-level thinker who can translate ecological theory into tractable computational abstractions
  • Strong research judgment: literature synthesis, hypothesis framing, and disciplined model validation
  • Pragmatic engineer: prioritizes computational efficiency, robustness, and reproducibility over "toy" prototypes
  • Comfortable working with uncertainty, noisy data, and incomplete ground truth, typical of ecological problems
  • Clear communicator in interdisciplinary teams (design, biology, engineering); proactive stakeholder management
  • High ownership: independently drives milestones while aligning work to EDEN workflow integration needs

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