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Remote Ecological Modeling Jobs in Texas (NOW HIRING)

This is a remote position that may be based in Utah or Colorado. Candidates based in Utah's Greater ... Help articulate the economic, ecological, and community benefits of forest and watershed ...

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 Texas?

For Remote Ecological Modeling jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Ecological Modeling jobs in Texas look for?

The top searched job categories for Remote Ecological Modeling jobs in Texas are:

What cities in Texas are hiring for Remote Ecological Modeling jobs?

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

Infographic showing various Remote Ecological Modeling job openings in Texas as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Post Doctorate Research Associate

Spring, TX • On-site, Remote

ExxonMobil
Oil and Gas Extraction • 10K+ employees

Full-time

Medical, Life

Re-posted yesterday


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6.0

Company rating: 6.0 out of 10

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Job description

About us

At ExxonMobil, our vision is to lead in energy innovations that advance modern living while reducing emissions. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. 

We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together.

Summary

We are seeking a senior Postdoctoral Research Associate to join our interdisciplinary research team at ExxonMobil Biomedical Sciences, Inc. (EMBSI). The Associate will support and lead a diverse portfolio of applied research projects aimed at evaluating the role of water management in enhancing ecosystem resilience, hydrologic function, and biodiversity across a range of ecosystems. Serving as a cross-disciplinary scientific integrator, the candidate will provide leadership in study design, QA/QC oversight, and technical coordination across hydrologic modeling, hydrogeologic systems, ecological monitoring, and geospatial analytics. This role emphasizes ensuring scientific defensibility, data integrity, and alignment across complex datasets and modeling systems, while synthesizing outputs to inform adaptive management and decision-making.

In addition to coordinating ongoing efforts, the Associate will actively generate novel research directions by translating integrated data insights into new hypotheses, study designs, and strategic initiatives. The position requires close collaboration with a broad team of industry, academic scientists, and 3rd party collaborators to co-develop approaches, harmonize methodologies, and integrate expertise across disciplines. Through these efforts, the candidate will contribute to high-impact research, proposal development, and partnerships with academic and industry collaborators, advancing our understanding of the water, soil, plant, animal nexus, including surface-groundwater interactions. In addition, postdoctoral researchers are encouraged to publish and present their work in peer-reviewed journals and conferences. This is supported through a standard internal review process designed to protect intellectual property and confidential business information while enabling timely dissemination of scientific results.

This opportunity is for a postdoctoral position expected to last one to three years, subject to annual review and renewal.

About you
Skills and Qualifications
  • Ph.D. in: Hydrology, Hydrogeology, Ecohydrology, Environmental Science, Rangeland Ecology, or related field
  • Demonstrated experience with study design and experimental frameworks, Data QA/QC and management
  • Experience with process-based hydrologic and/or hydrogeologic models (e.g., SWAT+, APEX, MODFlOW)
  • Strong quantitative and statistical skills (R, Python, or equivalent)
  • Expertise in GIS and spatial analysis (ArcGIS, QGIS, GEE)
  • Track record of peer-reviewed publications
  • Strong written and verbal communication, coordination, and collaboration skills
  • Ability to work independently while collaborating effectively within an interdisciplinary team
Preferred Qualifications / Experience
  • Experience overseeing multi-disciplinary field programs
  • Background in water quality, salinity, nutrient transport systems, or groundwater flow systems
  • Experience with remote sensing integration (LiDAR, UAV, satellite)
  • Experience with surface-groundwater interaction studies and aquifer characterization
  • Familiarity with regulatory or applied monitoring frameworks
  • Experience working with industry-sponsored or applied research programs
  • Strong ability to bridge science, operations, and decision-making
What you will do

Study Design & Scientific Oversight

Provide leadership in study design refinement, ensuring alignment between:

  • Hydrologic and/or hydrogeologic modeling, field monitoring networks, ecological response metrics
  • Develop and standardize sampling frameworks and experimental design across treatment and control areas
  • Ensure consistency between field data collection, modeling assumptions, and reporting outputs
  • Support development of monitoring plans and adaptive management frameworks

QA/QC & Data Governance

Ensure implementation of QA/QC protocols across all project datasets, including:

  • Hydrology, hydrogeology, vegetation, wildlife
  • Establish data validation workflows, metadata standards, and documentation practices
  • Perform data integrity audits and cross-validation between field observations, groundwater data, remote sensing, and model outputs
  • Ensure compliance with scientific best practices and regulatory expectations

Ecohydrological & Hydrogeological Modeling Integration

  • Oversee implementation, calibration, and validation of water models (e.g., SWAT+, MODFLOW
  • Ensure appropriate linkage between:
    • Model parameterization, field data inputs, groundwater systems, observed ecological responses
  • Review and refine:
    • Soil, aquifer, vegetation, and hydrologic parameter assumptions
    • Scenario design for application

Field Monitoring Integration

  • Coordinate across teams to ensure aligned, defensible monitoring approaches
  • Provide technical guidance on study design
  • Ensure field programs generate data suitable for:
    • Model calibration and validation
    • Statistical inference and trend detection
    • Identify and resolve data gaps, inconsistencies, or methodological risks

Geospatial & Systems Integration

  • Oversee integration of GIS, remote sensing, and model datasets, including:
    • Watershed and aquifer delineation
    • LiDAR, drone imagery, and satellite products
    • Ensure spatial consistency across datasets and time series
    • Develop integrated spatial products linking hydrologic and hydrogeological processes and ecological outcomes

Synthesis, Reporting & Decision Support

  • Lead or co-author peer-reviewed publications and technical reports
  • Ensure reporting reflects high confidence, QA/QC-vetted data and analyses
  • Develop decision-support tools and guidance, including:
    • Application thresholds, risk mitigation strategies (salinity, erosion, water quality), and groundwater impacts
  • Translate scientific outputs into actionable recommendations for:
    • Land management
    • Water reuse implementation
    • Regulatory and stakeholder engagement
    • Collaborate with EMBSI scientific staff, 3rd party collaborators, IT resources, global operations
What role you will play in our team
  • Grow ecology, hydrology, hydrogeology capability at ExxonMobil
  • Develop tools to assist in evaluation of complex ecological/hydrogeological systems
  • Incorporate optimization elements to automate biodiversity monitoring
Work Location

Our ExxonMobil Biomedical Sciences, Inc. employees are located at our main corporate office in Spring, Texas. 

Your Total Rewards

An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life. 

More information on our Company’s benefits can be found at www.exxonmobilfamily.com. 

Please note benefits may be changed from time to time without notice, subject to applicable law.

Relocation Options

Relocation benefits may be available to you based on ExxonMobil eligibility guidelines. 

Equal Opportunity Employer

ExxonMobil is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. 

Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.


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