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A Behavioral Ecologist Jobs (NOW HIRING)

Oxman

Computational Ecologist

New York, NY · On-site

$152K - $241K/yr

Working across disciplines-from architecture and ecology to materials science and computation, we ... a comprehensive conceptual framework for general ecosystem modelling * Ecosystem Behaviour ...

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How much do a behavioral ecologist jobs pay per year?

As of Jun 12, 2026, the average yearly pay for a behavioral ecologist in the United States is $59,547.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $74,000.00 per year, depending on experience, location, and employer.

What is the highest paying ecology job?

Among ecology-related careers, senior research scientists, ecological consultants, and environmental managers tend to have the highest salaries, often exceeding $80,000 annually. Jobs in environmental consulting, conservation management, and ecological modeling that require advanced degrees and specialized skills typically offer higher compensation.

What does a behavioral ecologist do?

A behavioral ecologist studies how animals behave in their natural environments and how these behaviors help them survive and reproduce. They observe, record, and analyze animal interactions, often using fieldwork and data analysis tools to understand behavioral patterns and ecological relationships.

What is the difference between A Behavioral Ecologist vs A Wildlife Biologist?

AspectA Behavioral EcologistA Wildlife Biologist
Required CredentialsMaster's or Ph.D. in Ecology, Biology, or related fieldBachelor's or higher in Wildlife Biology, Ecology, or related field
Work EnvironmentResearch settings, field studies, academic institutionsFieldwork, conservation areas, government agencies
Industry UsagePrimarily academic, research, and conservation projectsWildlife management, conservation, environmental consulting

While both roles focus on animal behavior and ecology, a Behavioral Ecologist specializes in studying the behavior patterns of animals in their natural environments, often within academic or research settings. A Wildlife Biologist, on the other hand, has a broader focus on managing and conserving wildlife populations, often working in field and government roles. Both careers require a strong background in biology and ecology, but their daily tasks and career goals differ.

What are 5 potential jobs for ecology?

A behavioral ecologist can pursue careers such as wildlife biologist, conservation scientist, environmental consultant, research scientist, or ecological educator. These roles often involve fieldwork, data analysis, and understanding animal behavior and ecosystems. Relevant skills include data collection, statistical analysis, and knowledge of ecological software tools.

Are ecologists well paid?

Behavioral ecologists typically earn a median salary ranging from $50,000 to $80,000 annually, depending on experience, education, and location. Advanced positions or those with specialized skills may offer higher compensation, especially in research or academic settings. Salary can also vary based on funding, employer type, and geographic region.
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A Behavioral Ecologist jobs near you
Infographic showing various A Behavioral Ecologist job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $59,547 per year, or $28.6 per hour.
Computational Ecologist

Computational Ecologist

Oxman

New York, NY • On-site

$152K - $241K/yr

Full-time

Posted 19 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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