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Remote Ecological Statistician Jobs (NOW HIRING)

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Our research group studies ecology of plants, plant-feeding insects and slugs, and spiders and ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Our research group studies ecology of plants, plant-feeding insects and slugs, and spiders and ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... D in the fields of population genetics or ecology and evolution is ideal. Prior experience in ...

$15/hr

... ecology, remote sensing, web-mapping, and related topics -Familiarity with geospatial software ... CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy ...

$15/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Agricultural Sciences, Engineering, Life Sciences, Ecology Mentors: Prof. Natalie Boyle and Dr.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Statistics * Data analysis * Public health or global health * Strong scientific communication in ...

... remote sensing, and/or spatial statistics. -Ability to work independently and use sound judgment to ... ecology. -Experience in one or more of the following areas: wildland fuels mapping, wildfire ...

... with remote, shore-based research and scientific support. The successful candidate will be ... Conduct bioinformatic and statistical analyses of molecular and ecological datasets. * Contribute ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy ...

... ecology, forestry, remote sensing, atmospheric science, or a related quantitative field * Deep ... Strong statistical modeling and machine learning skills in Python, with tools like GeoPandas ...

Data Scientist

Santa Clara, CA · On-site +1

$130K - $150K/yr

Santa Clara, CA (preferred) or Remote - US-based Job Term: Full-Time The Opportunity Picarro ... Apply statistical techniques such as Bayesian inference, hypothesis testing, and Monte Carlo ...

... statistical calculations across multiple scales. * Develop and implement quality assurance and ... ecological and natural resource questions. * Support the integration of remote sensing data and ...

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Remote Ecological Statistician information

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$50.5K

$86.9K

$116.5K

How much do remote ecological statistician jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote 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 does a remote ecological statistician do?

A Remote Ecological Statistician analyzes environmental and ecological data to help researchers and organizations understand natural patterns, assess ecosystems, and inform conservation decisions. They use statistical models and software to interpret data collected from field studies or remote sensors, often working from a location outside a traditional office or lab. Their work supports ecological research, wildlife management, and policy development by providing accurate quantitative insights. Collaboration with scientists and environmental professionals is key, and strong skills in statistical programming and ecological concepts are essential. Remote Ecological Statisticians may also contribute to scientific publications and grant proposals.

What are the key skills and qualifications needed to thrive as a remote ecological statistician?

A Remote Ecological Statistician needs a strong background in statistics, ecology, and data analysis, typically supported by an advanced degree in statistics, ecology, or a related field. Familiarity with statistical software like R, Python, GIS tools, and experience handling large ecological datasets are commonly required. Strong problem-solving, attention to detail, and effective communication skills are vital for collaborating with interdisciplinary teams and conveying complex findings clearly. These abilities are essential for producing reliable ecological insights that inform research, policy, and conservation efforts.

What are some common challenges faced by remote ecological statisticians, and how can they be managed?

Remote ecological statisticians often encounter challenges such as limited access to field data, managing communication with cross-disciplinary teams, and ensuring data integrity across diverse sources. These can be managed by establishing clear protocols for data sharing, utilizing collaborative software tools, and scheduling regular virtual meetings to stay aligned with ecologists and researchers. Proactively seeking feedback and maintaining documentation also helps foster effective teamwork and ensures high-quality statistical analysis, even when working remotely.

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

AspectRemote Ecological StatisticianRemote Environmental Data Analyst
Required CredentialsMaster's or PhD in Ecology, Statistics, or related fieldBachelor's or Master's in Environmental Science, Data Analysis, or related field
Work EnvironmentResearch projects, ecological data sets, statistical modelingEnvironmental data, trend analysis, reporting
Employer & IndustryResearch institutions, conservation organizations, academiaGovernment agencies, environmental consulting firms, NGOs
Search & Comparison IntentUnderstanding ecological data analysis roles, statistical expertiseAnalyzing environmental data, reporting environmental trends

The Remote Ecological Statistician primarily focuses on applying advanced statistical methods to ecological data, often requiring higher-level degrees. In contrast, the Remote Environmental Data Analyst may work with broader environmental datasets, emphasizing data interpretation and reporting. Both roles are vital in environmental sectors but differ in their specific focus and typical qualifications.

More about Remote Ecological Statistician jobs

What cities are hiring for Remote Ecological Statistician jobs?

Cities with the most Remote Ecological Statistician job openings:

What are the most commonly searched types of Ecological Statistician jobs?

The most popular types of Ecological Statistician jobs are:

What states have the most Remote Ecological Statistician jobs?

States with the most job openings for Remote Ecological Statistician jobs include:

What job categories do people searching Remote Ecological Statistician jobs look for?

The top searched job categories for Remote Ecological Statistician jobs are:

Infographic showing various Remote Ecological Statistician job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $86,921 per year, or $41.8 per hour.

Post Doctorate Research Associate

ExxonMobil

Spring, TX • On-site, Remote

Full-time

Medical, Life

Re-posted 20 days ago


ExxonMobil rating

6.0

Company rating: 6.0 out of 10

Based on 231 frontline employees who took The Breakroom Quiz

71st of 87 rated oil and gas companies


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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