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Remote Ecological Modeling Jobs in Colorado (NOW HIRING)

Senior Wetlands Scientist

Boulder, CO ยท On-site +1

$90K - $130K/yr

We are hiring a Senior Wetland Scientist to lead that work, combining wetland science, remote ... Experience implementing or adapting geospatial or ecological models (wetland potential, habitat ...

Senior Wetlands Scientist

Boulder, CO ยท On-site +1

$94K - $129K/yr

We are hiring a Senior Wetland Scientist to lead that work, combining wetland science, remote ... Experience implementing or adapting geospatial or ecological models (wetland potential, habitat ...

Remote Ecological Modeling information

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.

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 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 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 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 cities in Colorado are hiring for Remote Ecological Modeling jobs?

Cities in Colorado with the most Remote Ecological Modeling job openings:

Infographic showing various Remote Ecological Modeling job openings in Colorado as of September 2026, with employment types broken down into 2% As Needed, 86% Full Time, 6% Part Time, 4% Temporary, and 2% Contract. Highlights an 100% Remote job distribution.

Senior Wetlands Scientist

Boulder, CO โ€ข On-site, Remote

Lynker Corporation
Scientific Research and Development Servicesย โ€ขย 201 - 500 employees

$90K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

Overview
Lynker Corporation is a leading provider of innovative solutions in weather and climate science. With a commitment to excellence and a passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support the creation and delivery of improved operational weather forecasts.
As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Senior Wetlands Scientist to join our growing team.
Mapping wetlands accurately across large areas is hard, and the maps are only as trustworthy as the validation behind them. We are hiring a Senior Wetland Scientist to lead that work, combining wetland science, remote sensing, and cloud-native geospatial computing to produce defensible wetland products across regional to national extents. The role spans model development, large-area production, validation and uncertainty, and technical leadership.
You will sit close to our modeling and geospatial teams, turning wetlands science into methods that run reliably over large areas. The strongest candidates pair wetland and ecological expertise with strong geospatial and coding skills, and are comfortable moving between the underlying science, the data pipeline, and validation of the resulting maps.
Responsibilities
Duties of the Senior Wetlands Scientist will include the following:
  • Mapping at scale: produce, improve, and maintain versioned wetland maps across large regional to national extents.
  • Cloud-native geospatial: build and run mapping and modeling workflows using cloud-native geospatial tools, formats, and storage.
  • Wetland modeling: implement, adapt, and improve existing and new models for wetland potential and for wetland boundary and extent.
  • Data integration: integrate LiDAR-derived elevation, hydrology, imagery, soils, and existing wetland inventories into reproducible modeling pipelines.
  • Validation & QA: design validation against reference data, quantify uncertainty, and quality-control wetland maps for accuracy and consistency.
  • Communication: document methods and results, contribute to reports and proposals, and partner with the Platform, Modeling, and Applications teams that scale and serve your products.

Qualifications
The Senior Wetlands Scientist selected should have the following:
  • Master's or PhD in wetland science, ecology, geography, environmental or earth science, hydrology, or a related field, or equivalent experience.
  • Roughly 5+ years of relevant experience, or a PhD plus a few years of relevant work.
  • Demonstrated experience mapping wetlands, land cover, or comparable features at large spatial scale.
  • Hands-on experience with cloud-native geospatial tooling, formats, and workflows.
  • Experience implementing or adapting geospatial or ecological models (wetland potential, habitat, boundary and extent, or comparable).
  • Proficiency in Python and/or R for geospatial analysis, with sound coding and reproducibility practices.

The Ideal Senior Wetlands Scientist will have the following:
  • Experience with wetland potential or probability modeling and with wetland delineation, boundary, and extent methods.
  • Experience applying machine learning to land-cover or wetland classification.
  • Familiarity with national wetland, hydrography, soils, and elevation datasets, and with remote-sensing inputs.
  • Experience with distributed or parallel processing for large-area geospatial work (e.g., cloud batch, Dask, or Google Earth Engine).
  • A record of scientific publication or successful proposal work.
  • Colorado Front Range presence for periodic in-person collaboration.

About Lynker
Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.
We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.
Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:
  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) - we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.
Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.