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Remote Ecological Modeling Jobs in Colorado (NOW HIRING)

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Remote Ecological Modeling information

How does a Remote Ecological Modeler typically collaborate with other scientists and stakeholders on projects?

Remote Ecological Modelers often work as part of interdisciplinary teams that may include ecologists, GIS specialists, data analysts, and policy makers. Collaboration is primarily conducted through virtual meetings, shared data platforms, and collaborative software tools. Modelers are responsible for translating scientific data into actionable models, sharing results, and integrating feedback from team members. Effective communication and documentation skills are essential, as their work directly informs conservation strategies and environmental decision-making.

What is the difference between Remote Ecological Modeling vs Remote Environmental Data Analyst?

AspectRemote Ecological ModelingRemote Environmental Data Analyst
Required CredentialsDegree in Ecology, Environmental Science, or related field; GIS and modeling certificationsDegree in Environmental Science, Data Analysis, or related; statistical and GIS skills
Work EnvironmentResearch-focused, often involving ecological data and modeling softwareData-driven, analyzing environmental datasets for insights and reporting
Employer & Industry UsageResearch institutions, environmental consultancies, government agenciesEnvironmental firms, NGOs, government agencies, consulting companies
Common Search & Comparison IntentUnderstanding roles involving ecological data modelingComparing data analysis roles in environmental sectors

Remote Ecological Modeling focuses on creating models to predict ecological patterns using specialized software, while Remote Environmental Data Analysts interpret environmental data to inform decisions. Both roles require environmental or data analysis credentials but differ in their core tasks and focus areas.

What is remote ecological modeling?

Remote ecological modeling is the use of computational and mathematical models to study and predict ecological processes and patterns, often using data collected remotely, such as from satellites or drones. Professionals in this field analyze spatial and temporal data to understand ecosystems, species distributions, and environmental changes. They work remotely, utilizing software and large datasets to inform conservation efforts, policy decisions, and scientific research. This role typically requires expertise in ecology, statistics, and computer science.

What are the key skills and qualifications needed to thrive as a Remote Ecological Modeler, and why are they important?

To thrive as a Remote Ecological Modeler, you need a strong background in ecology, mathematics, and statistics, typically with a degree in environmental science, ecology, or a related field. Expertise with modeling software (such as R, Python, or GIS platforms), remote sensing tools, and sometimes certifications in data analysis or GIS are commonly required. Analytical thinking, problem-solving, and effective communication skills are crucial for interpreting complex data and collaborating with diverse teams. These skills enable accurate ecological predictions, support informed decision-making, and drive effective conservation or resource management strategies.
What are popular job titles related to Remote Ecological Modeling jobs in Colorado? For Remote Ecological Modeling jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Ecological Modeling jobs in Colorado look for? The top searched job categories for Remote Ecological Modeling jobs in Colorado are:
Remote Ecological Modeling jobs near you
Interdisciplinary Biologist (Computational) / Mathematical Statistician

Interdisciplinary Biologist (Computational) / Mathematical Statistician

U.S. Department of Agriculture (USDA)

Denver, CO • On-site, Remote

$99K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

In this position, you will be protecting agriculture, property, natural resources (including rare or special species), and reducing conflicts that jeopardize human health and safety. The overall goal of the position is to develop statistical decision-support tools for the feral swine and wildlife disease management of Wildlife Services.Qualifications:Applicants must meet all qualifications and eligibility requirements by the closing date of the announcement, including specialized experience and/or education, as defined below.
BASIC REQUIREMENT for 0401 Series: Degree: biological sciences, agriculture, natural resource management, chemistry, or related disciplines appropriate to the position. OR Combination of education and experience: Courses equivalent to a major, as shown above, plus appropriate experience or additional education.
BASIC REQUIREMENT for 1529 Series: Degree: that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics. OR Combination of education and experience: at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as shown above, plus appropriate experience or additional education.
FOR THE GS-12 LEVEL: Applicants must have one year of specialized experience (equivalent to the GS-11 grade level) that demonstrates:
- Communicates technical information both orally and in writing to stakeholders for collaborative development of research or software development projects.
- Develops data pipelines for extracting environmental data (e.g., GIS rasters, satellite imagery/remote sensing, landcover, weather/meteorological data) with automated post-processing for inputs into downstream modeling or visualizations.
- Builds custom statistical (prefer hierarchical statistical models using Bayesian techniques) models or computational biology models, or bioinformatic and phylogenetic workflows using computer programming.
- Develops machine learning or artificial intelligence models for image processing or predicting ecological or epidemiological processes.
- Uses programming languages in at least two data science areas such as: statistics (e.g., C++, python, or R), software or web application development (e.g., JavaScript or HTML), database management (e.g., SQL), managing HPC workflows (e.g., SLURM) or cloud platforms (e.g., AWS, Azure, or GCP).
Note: There is no education substitution for this grade level.
TRANSCRIPTS are required if:
  • This position requires specific coursework or a degree in a specific field to be basically qualified.
  • You are qualifying for this position based on a combination of experience and education.
  • This education must have been successfully completed and obtained from an accredited school, college, or university.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:Please see above for education qualification requirement information.Employment Type: OTHER

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