... computational fluid dynamics) and/or OpenSees (structural/earthquake engineering analysis) to ... This is a fully remote, flexible contract role. Bring your deep technical skills, work on ...
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Remote | Bioinformatics & Single-Cell Genomics Consultant -- $60-$90/hour
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STEM Computational Scientific Software & Evaluation Design - Bioinformatics & Single-Cell Genomics ... Strong Python programming skills. * Ability to work in a Linux/terminal environment with remote ...
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Remote Computational Engineering information
See salary details
$48.5K - $56.6K
0% of jobs
$56.6K - $64.7K
0% of jobs
$64.7K - $72.8K
7% of jobs
$72.8K - $80.9K
0% of jobs
$80.9K - $89K
0% of jobs
$89K - $97K
1% of jobs
$97K - $105.1K
0% of jobs
$109.9K is the 25th percentile. Wages below this are outliers.
$105.1K - $113.2K
28% of jobs
$113.2K - $121.3K
1% of jobs
$121.3K - $129.4K
0% of jobs
The median wage is $131K / yr.
$129.4K - $137.5K
62% of jobs
$48.5K
$121.5K
$137.5K
How much do remote computational engineering jobs pay per year?
What are the key skills and qualifications needed to thrive as a Remote Computational Engineer, and why are they important?
How does a remote computational engineer typically collaborate with team members on complex projects?
What is remote computational engineering?
What is the difference between Remote Computational Engineering vs Remote Data Scientist?
| Aspect | Remote Computational Engineering | Remote Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or higher in engineering, computer science, or related fields; programming skills | Bachelor's or higher in statistics, computer science, or related fields; programming and statistical skills |
| Work Environment | Collaborative engineering teams, simulation labs, software development | Data analysis teams, research environments, analytics platforms |
| Industry Usage | Engineering firms, tech companies, manufacturing | |
| Common Search Intent | Comparing roles in engineering and technical development |
Remote Computational Engineering and Remote Data Scientist roles share a focus on programming and analytical skills, often requiring similar educational backgrounds. However, computational engineers typically work on simulations, modeling, and engineering solutions, while data scientists focus on analyzing data to derive insights. Both roles are prevalent in tech-driven industries and often involve remote collaboration, but their core functions differ in application and industry focus.
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$20 - $100/hr
Contractor
Posted 3 days ago
Job description
About the Role
What if your simulation expertise could directly shape how the next generation of structures and systems are designed, tested, and validated? We're looking for engineers based in Tokyo and across Japan with hands-on proficiency in
OpenFOAM
(computational fluid dynamics) and/or
OpenSees
(structural/earthquake engineering analysis) to contribute to advanced modeling, simulation, and analysis projects.
Japan's world-leading expertise in earthquake engineering, structural design, and precision manufacturing makes its engineering talent uniquely valuable for these projects. Whether your background is in mechanical engineering, structural engineering, or both - if you're fluent in open-source simulation tools and passionate about solving complex physical problems, this role is for you.
This is a fully remote, flexible contract role. Bring your deep technical skills, work on challenging problems, and collaborate with international teams pushing the boundaries of engineering simulation.
- Type
: Hourly Contract - Location
: Remote - Commitment
: 10-40 hours/week
What You'll Do
- Develop, configure, and run CFD simulations using
OpenFOAM
for fluid flow, heat transfer, and multiphysics problems - Build and execute nonlinear structural and seismic analysis models using
OpenSees
for structural systems and components - Set up meshing, boundary conditions, material models, and solver configurations for complex engineering scenarios
- Validate simulation results against experimental data, analytical benchmarks, or design code requirements
- Post-process, visualize, and interpret simulation outputs to extract actionable engineering insights
- Document methodologies, assumptions, and results clearly for technical and non-technical stakeholders
- Troubleshoot convergence issues, mesh sensitivity, and numerical instabilities
- Collaborate asynchronously with multidisciplinary engineering teams on project deliverables
Who You Are
- Degree in Mechanical Engineering, Structural/Civil Engineering, or a closely related field (B.Eng. minimum; M.Eng. or Ph.D. preferred)
- Demonstrated proficiency with
OpenFOAM
for CFD applications and/or
OpenSees
for structural/seismic analysis - Strong understanding of continuum mechanics, finite element methods, and/or computational fluid dynamics fundamentals
- Comfortable working in Linux environments and using command-line tools, scripting (Python, Bash, or Tcl), and version control
- Able to interpret and critically evaluate simulation results with engineering judgment
- Self-motivated and reliable when working independently on technically demanding tasks
- Able to communicate clearly in English for documentation and asynchronous collaboration
Nice to Have
- Experience with both OpenFOAM and OpenSees across interdisciplinary projects
- Familiarity with ParaView, Gmsh, Salome, or other pre/post-processing tools
- Background in seismic/earthquake engineering, wind engineering, fluid-structure interaction, or performance-based structural design
- Experience with high-performance computing (HPC) clusters for large-scale simulations
- Knowledge of other simulation frameworks (ANSYS, Abaqus, LS-DYNA, COMSOL) for cross-validation
- Published research or project portfolio demonstrating simulation work
- Experience mentoring or reviewing the work of junior engineers
Why Join Us
- Work on technically challenging, real-world engineering simulation projects
- Fully remote and flexible - set your own hours and work from anywhere
- Apply your niche expertise in open-source simulation tools to meaningful work
- Collaborate with experienced engineers and researchers across disciplines
- Freelance autonomy with the structure of well-defined, project-based deliverables
- Potential for ongoing work and contract extension as new projects launch