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Remote Computational Modeling Scientist Jobs (NOW HIRING)

YO AI Labs

Computational Physics Expert - Remote

Houston, TX · Remote

$80 - $100/hr

Demonstrate the use of Codex, Claude Science, Claude Code, and Claude Cowork for advanced technical ... Develop high-quality technical examples, evaluations, and feedback to support AI training and model ...

New

YO AI Labs

Computational Physics Expert - Remote

Seattle, WA · Remote

$80 - $100/hr

Demonstrate the use of Codex, Claude Science, Claude Code, and Claude Cowork for advanced technical ... Develop high-quality technical examples, evaluations, and feedback to support AI training and model ...

New

YO AI Labs

Computational Physics Expert - Remote

Phoenix, NY · Remote

$80 - $100/hr

Demonstrate the use of Codex, Claude Science, Claude Code, and Claude Cowork for advanced technical ... Develop high-quality technical examples, evaluations, and feedback to support AI training and model ...

New

YO AI Labs

Computational Physics Expert - Remote

Austin, TX · Remote

$80 - $100/hr

Demonstrate the use of Codex, Claude Science, Claude Code, and Claude Cowork for advanced technical ... Develop high-quality technical examples, evaluations, and feedback to support AI training and model ...

New

YO AI Labs

Computational Physics Expert - Remote

Dallas, TX · Remote

$80 - $100/hr

Demonstrate the use of Codex, Claude Science, Claude Code, and Claude Cowork for advanced technical ... Develop high-quality technical examples, evaluations, and feedback to support AI training and model ...

New

YO AI Labs

Computational Physics Expert - Remote

Boston, MA · Remote

$80 - $100/hr

Demonstrate the use of Codex, Claude Science, Claude Code, and Claude Cowork for advanced technical ... Develop high-quality technical examples, evaluations, and feedback to support AI training and model ...

New

YO AI Labs

Computational Physics Expert - Remote

Miami, FL · Remote

$80 - $100/hr

Demonstrate the use of Codex, Claude Science, Claude Code, and Claude Cowork for advanced technical ... Develop high-quality technical examples, evaluations, and feedback to support AI training and model ...

New

YO AI Labs

Computational Physics Expert - Remote

Boston, MA · Remote

$80 - $100/hr

Demonstrate the use of Codex, Claude Science, Claude Code, and Claude Cowork for advanced technical ... Develop high-quality technical examples, evaluations, and feedback to support AI training and model ...

New

YO AI Labs

Computational Physics Expert - Remote

Seattle, WA · Remote

$80 - $100/hr

Demonstrate the use of Codex, Claude Science, Claude Code, and Claude Cowork for advanced technical ... Develop high-quality technical examples, evaluations, and feedback to support AI training and model ...

New

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$50.5K

$111.3K

$137.5K

How much do remote computational modeling scientist jobs pay per year?

As of Aug 28, 2026, the average yearly pay for remote computational modeling scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What is a remote computational modeling scientist?

A Remote Computational Modeling Scientist is a professional who uses advanced computer simulations and mathematical models to analyze complex systems or predict outcomes in fields such as physics, biology, chemistry, or engineering—all while working remotely. They design, develop, and implement computational models to solve scientific problems, often collaborating with research teams virtually. Their work helps organizations understand phenomena, optimize processes, and accelerate innovation without needing to be physically present in a traditional lab or office setting.

What are the key skills and qualifications needed to thrive as a remote computational modeling scientist?

To thrive as a Remote Computational Modeling Scientist, you need a strong background in mathematics, physics, or engineering, along with experience in computational modeling and a relevant advanced degree. Proficiency with programming languages (such as Python, MATLAB, or C++), simulation software, and version control systems is typically expected. Exceptional problem-solving abilities, self-motivation, and effective virtual communication are vital soft skills for remote collaboration and independent workflow. These competencies ensure accurate model development, efficient project delivery, and seamless teamwork across distributed environments.

How does a remote computational modeling scientist typically collaborate with cross-functional teams while working off-site?

As a Remote Computational Modeling Scientist, you’ll often work closely with multidisciplinary teams, including experimental scientists, data analysts, and software engineers. Collaboration usually takes place through virtual meetings, shared project management tools, and cloud-based data repositories, ensuring seamless communication despite geographical distance. Clear documentation, proactive updates, and flexible scheduling are key to overcoming the challenges of time zone differences and remote coordination. Building strong professional relationships and maintaining transparency help facilitate effective teamwork and project success.

What is the difference between Remote Computational Modeling Scientist vs Remote Data Scientist?

AspectRemote Computational Modeling ScientistRemote Data Scientist
Required CredentialsAdvanced degrees in computational science, physics, or related fields; programming skillsDegree in data science, statistics, or related fields; programming and analytical skills
Work EnvironmentResearch labs, tech companies, or industries requiring simulation and modelingBusiness, tech, healthcare, or finance sectors analyzing large datasets
Employer & Industry UsageResearch institutions, biotech, aerospace, and engineering firmsTech companies, finance, healthcare, marketing
Common Search & ComparisonYesNo

The Remote Computational Modeling Scientist focuses on developing and applying computational models to simulate complex systems, often requiring advanced scientific knowledge. In contrast, the Remote Data Scientist primarily analyzes large datasets to extract insights for business decisions. While both roles involve programming and data analysis, their core applications and industries differ significantly.

More about Remote Computational Modeling Scientist jobs

What cities are hiring for Remote Computational Modeling Scientist jobs?

Cities with the most Remote Computational Modeling Scientist job openings:

What are the most commonly searched types of Computational Modeling Scientist jobs?

The most popular types of Computational Modeling Scientist jobs are:

What states have the most Remote Computational Modeling Scientist jobs?

States with the most job openings for Remote Computational Modeling Scientist jobs include:

What job categories do people searching Remote Computational Modeling Scientist jobs look for?

The top searched job categories for Remote Computational Modeling Scientist jobs are:

Remote Computational Modeling Scientist jobs near you
Infographic showing various Remote Computational Modeling Scientist job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

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

University of Mississippi

Oxford, MS • On-site, Remote

Full-time

Re-posted 15 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

212th of 625 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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