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$38K

$84.6K

$115.5K

How much do remote ole miss jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote ole miss in the United States is $84,620.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $101,000.00 per year, depending on experience, location, and employer.

What is a remote Ole Miss?

A Remote Ole Miss job refers to employment opportunities at the University of Mississippi (commonly known as Ole Miss) that can be performed remotely, rather than on campus. These positions may include roles in administration, IT, teaching, student support, or research that allow employees to work from home or another off-site location. Remote Ole Miss jobs are designed to provide flexibility while supporting the university’s operations and academic goals. Applicants typically need to meet the same qualifications as on-campus jobs, and may be required to attend virtual meetings or use online collaboration tools.

What are the key skills and qualifications needed to thrive as a remote Ole Miss?

The job title 'Remote Ole Miss' does not correspond to a recognized real-world professional occupation, so a relevant skills and qualifications summary cannot be provided.

What are some common challenges faced by employees working in a remote role at Ole Miss, and how can they be addressed?

Working remotely for Ole Miss can present unique challenges, such as staying connected with campus culture and maintaining effective communication with colleagues and supervisors. Employees may also encounter difficulties in managing their schedules and balancing work-life boundaries. To address these challenges, it's important to proactively use digital communication tools, participate in virtual meetings and campus events, and establish a structured daily routine. The university often provides resources, such as remote work guides and IT support, to help remote employees stay engaged and productive.

What is the difference between Remote Ole Miss vs Remote University of Mississippi?

AspectRemote Ole MissRemote University of Mississippi
CredentialsVaries by position, often requires a bachelor's degree or relevant experienceTypically requires a bachelor's degree, sometimes a master's for specialized roles
Work EnvironmentRemote, flexible schedule, often project-based or administrativeRemote, academic or administrative settings, often includes research or student support
Employer & IndustryUniversity of Mississippi, education sectorUniversity of Mississippi, education sector
Search & Comparison IntentYes, often compared for remote academic or administrative rolesYes, similar roles in higher education

The main difference between Remote Ole Miss and Remote University of Mississippi lies in the specific job functions and roles offered. Both are part of the same institution but may focus on different departments or positions. Candidates should review the specific job descriptions to understand the credentials and work environment better.

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Remote Ole Miss jobs near you
Infographic showing various Remote Ole Miss 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 $84,620 per year, or $40.7 per hour.

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

University of Mississippi

Oxford, MS • On-site, Remote

Full-time

Re-posted 3 days ago

University Of Mississippi rating

7.9

Company rating: 7.9 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

208th of 618 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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