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Remote Watershed Scientist Jobs (NOW HIRING)

Familiarity with advanced hydrologic modeling software, remote sensing technologies, and watershed ... Coordinate with engineers, geologists, environmental scientists, project managers, and regulatory ...

Familiarity with advanced hydrologic modeling software, remote sensing technologies, and watershed ... Coordinate with engineers, geologists, environmental scientists, project managers, and regulatory ...

Familiarity with advanced hydrologic modeling software, remote sensing technologies, and watershed ... Coordinate with engineers, geologists, environmental scientists, project managers, and regulatory ...

GIS Specialist

University Park, PA · On-site +1

$54K - $78K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional ... GIS and geospatial data analyses; statistical data analyses; watershed and agricultural science ...

$54K - $78K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... GIS and geospatial data analyses; statistical data analyses; watershed and agricultural science ...

Hydrologist

Tucson, AZ · On-site +1

Remote with travel for onsite visits Travel: Up to 10%, Contingent upon business needs Duties ... Perform watershed modeling and stormwater runoff analysis for roadway improvement projects

Senior Biologist

Eugene, OR · On-site +1

$80K - $100K/yr

Cramer Fish Sciences (CFS) is seeking a Senior Biologist to join our Portland Oregon team. This ... Manage and analyze field and remote sensing data using GIS, R and other statistical packages.

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Remote Watershed Scientist information

See salary details

$83.5K

$127K

$171K

How much do remote watershed scientist jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote watershed scientist in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Watershed Scientist vs Remote Environmental Data Analyst?

AspectRemote Watershed ScientistRemote Environmental Data Analyst
Required CredentialsBachelor's or Master's in Environmental Science, Hydrology, or related field; GIS and data analysis skillsBachelor's or Master's in Environmental Science, Data Science, or related; strong analytical and GIS skills
Work EnvironmentFieldwork, data collection, GIS mapping, report writing (remote options available)Data analysis, modeling, reporting, often remote with focus on datasets
Employer & Industry UsageEnvironmental agencies, conservation organizations, research institutionsResearch firms, government agencies, consulting companies

The Remote Watershed Scientist focuses on studying and managing watersheds through fieldwork, GIS, and environmental assessments, often involving some remote work. In contrast, the Remote Environmental Data Analyst primarily analyzes environmental datasets, models data, and produces reports, usually working entirely remotely. Both roles require strong analytical skills and environmental knowledge but differ in their core activities and work environments.

More about Remote Watershed Scientist jobs
What cities are hiring for Remote Watershed Scientist jobs? Cities with the most Remote Watershed Scientist job openings:
What are the most commonly searched types of Watershed Scientist jobs? The most popular types of Watershed Scientist jobs are:
What states have the most Remote Watershed Scientist jobs? States with the most job openings for Remote Watershed Scientist jobs include:
Infographic showing various Remote Watershed Scientist job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 40% Physical, 3% Hybrid, and 57% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.
Research Scientist - National Center for Computational Hydroscience and Engineering (NCCHE)

Research Scientist - National Center for Computational Hydroscience and Engineering (NCCHE)

University of Mississippi

Oxford, MS • On-site, Remote

Full-time

Posted 2 days ago

New


University Of Mississippi rating

8.0

Company rating: 8.0 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

164th of 555 rated colleges and universities


Job description

The University of Mississippi - fondly referred to as Ole Miss - stands as a premier public research institution with a proud legacy of academic distinction. We are devoted to nurturing a vibrant, inclusive community where every member - student, faculty, and staff - can achieve their fullest potential.

Job Summary:

This position focuses on developing and maintaining computational and geospatial technologies that support agricultural watershed science, water quality assessment, dam-break flood modeling, risk evaluation, and emergency planning. The role emphasizes building decision-support systems and web-based tools, managing large environmental datasets, and enabling data-driven environmental management through advanced modeling, software engineering, and GIS/remote sensing workflows.
It also includes supporting high-performance and Linux-based research computing environments, contributing to scientific communication (journal articles, technical reports, and conference presentations), and collaborating with interdisciplinary teams and stakeholders. In addition, the role supports grant proposal development and may include leading external research efforts.

Job Description:

Essential Duties/ Responsibilities:
  • Develop computational models, software tools, and web-based decision support systems for agricultural watershed processes, water quality assessment, dam-break flood modeling, risk assessment, and emergency planning.
  • Develop and maintain scientific software, geospatial applications, databases, and computational workflows using programming languages such as FORTRAN, C++, Python, R, and related technologies.
  • Design, develop, and maintain geospatial databases, web mapping applications, decision-support systems, and cloud- or cluster-based cyberinfrastructure to support environmental modeling, visualization, and data dissemination.
  • Manage and process large environmental and hydrologic datasets using GIS, remote sensing, spatial databases, and geospatial analysis tools.
  • Support high-performance computing, Linux-based research computing environments, automation workflows, and related computational infrastructure required for environmental modeling and data-intensive research.
  • Participate in and lead external research grant proposal development.
  • Participate in and lead peer-reviewed journal publications, technical reports, and scientific conference presentations.
  • Collaborate with interdisciplinary teams of scientists, engineers, and stakeholders to develop innovative solutions for water resources and environmental management challenges.

Job Responsibilities:

Preferred Experience, Knowledge, Skills & Abilities:
  • Experience in developing computational models, decision-support systems, and web-based tools for hydrologic, hydraulic, watershed, water quality, and environmental management.
  • Experience in scientific programming (e.g., FORTRAN, C++, Python, R), software development, computer systems, and computational infrastructure for environmental and geospatial applications..
  • Experience in geospatial analysis and environmental data management using GIS, remote sensing, spatial databases, and web-based geospatial technologies.
  • Experience with database design, administration, and optimization, including PostgreSQL/PostGIS and large-scale spatial data processing.
  • Experience in developing and deploying geospatial web services, map servers, and cloud- or cluster-based computing environments for environmental modeling and visualization.
  • Experience with Linux system administration, high-performance computing (HPC), virtualization, automation, and research computing infrastructure.
  • Excellent oral, written, and presentation skills (both technical and non-technical).
  • Experience in AIMS and/or DSS-WISE modeling and decision support systems is preferred.
Education:
  • Ph.D. in Computational Hydroscience and Engineering, or a closely related discipline. The PhD degree should be already received or about to be received at the end of the current semester.

* This position is fully or partially funded by external research grants. Continued employment is contingent upon satisfactory performance and the ongoing availability of funding.


** Applicants are requested to attach a Resume/CV with their application.

Education Qualifications:

PhD (Required)

Experience:

Interview Requirement:

Interview Requirements: Any candidate who is called for an interview must notify the Department of Equal Opportunity/Regulatory Compliance in writing of any reasonable accommodation needed prior to the date of the interview.

EEO Statement:

The University of Mississippi provides equal opportunity in any employment practice, education program, or education activity to all qualified persons. The University complies with all applicable laws regarding equal opportunity and does not unlawfully discriminate against any employee or applicant for employment based upon race, color, gender, sex, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ethnicity, citizenship, age, disability, military status, protected veteran status, genetic information, or any other legally protected status.

Background Check Statement:

The University of Mississippi is committed to providing a safe campus community. UM conducts background investigations for applicants being considered for employment. Background investigations include a criminal history record check, and when appropriate, a financial (credit) report or driving history check.

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