ZipRecruiter

Log In

1

Computational Scientist Jobs (NOW HIRING)

previous pagenext page

Showing results 21-40

All JobsComputational Scientist Jobs

Computational Scientist information

See salary details

$50.5K

$111.3K

$137.5K

How much do computational scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for computational 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 skills and qualifications are needed to thrive as a computational scientist?

To thrive as a Computational Scientist, you need strong analytical skills, advanced knowledge of mathematics and computer science, and typically a graduate degree in a quantitative field such as physics, engineering, or computer science. Familiarity with programming languages like Python, R, or C++, experience with high-performance computing, and tools such as MATLAB or scientific visualization software are vital. Excellent problem-solving abilities, collaboration, and effective communication skills make someone stand out in this position. These skills are crucial for developing models, analyzing complex data, and communicating scientific insights to interdisciplinary teams.

What is a computational scientist?

A Computational Scientist uses advanced computing techniques, algorithms, and simulations to solve complex scientific and engineering problems. They work across various fields, such as physics, biology, chemistry, and engineering, developing models and running simulations to analyze large datasets. Their role often involves programming, data analysis, and collaboration with domain experts to gain insights and make predictions.

What does a computational scientist do?

A typical day for a Computational Scientist may involve developing and running computer simulations, analyzing large datasets, or creating algorithms to address complex scientific problems. You might spend time coding, troubleshooting computational models, collaborating with researchers or engineers, and documenting your findings. The work often involves both independent problem-solving and teamwork within multidisciplinary groups. Additionally, presenting results, preparing research papers, or contributing to grant proposals could be regular tasks, depending on your specific employer and industry. This dynamic role offers a blend of technical challenges and opportunities for innovation.

More about Computational Scientist jobs
What cities are hiring for Computational Scientist jobs? Cities with the most Computational Scientist job openings:
What are the most commonly searched types of Computational Scientist jobs? The most popular types of Computational Scientist jobs are:
Who are the top companies hiring for Computational Scientist jobs? The top employers for Computational Scientist jobs are:
What states have the most Computational Scientist jobs? States with the most job openings for Computational Scientist jobs include:
What job categories do people searching Computational Scientist jobs look for? The top searched job categories for Computational Scientist jobs are:
What are popular job titles related to Computational Scientist jobs? For Computational Scientist jobs, the most frequently searched job titles are:
Computational Scientist jobs near you
Infographic showing various Computational Scientist job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 7% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Lead Data Scientist (Scientific Software Engineer / Computational Scientist) - Only W2

Saransh Inc

Mountain View, CA • On-site

Contractor

Re-posted 22 days ago

Job description

Role: Lead Data Scientist (Scientific Software Engineer / Computational Scientist)
Location: Mountain View, CA (Hybrid – 3 days a week onsite)
Job Type: W2 Contract
 
 
Note: Only Visa Independent candidates are required (No C2C or Third-party candidates)
 
 
Experience Level: Lead
 
Main Skills:
  • Python (NumPy/SciPy/CuPy)
  • C++
  • PyTorch
  • Geostatistics
  • 3D Mathematics
  • CUDA/OpenMP
  • AI-assisted coding
 
Short Overview:
  • Scientific Software Engineer or Computational Scientist with a niche background in scientific simulation, procedural generation, or computational physics.
  • This is an implementation-heavy role requiring a developer who can translate complex mathematical logic and generative ML models into performant code to solve high-dimensional geometric problems.
 
Simulation & Generative Modeling
 Seeking a deep expertise in scientific computing, procedural generation, or computational physics to build the core algorithms for our 3D subsurface modeling engine.
 
The Role:
This is an implementation-heavy position bridging procedural physics and generative ML.
 
What We're Looking For:
Core Competencies:
  • Procedural Generation: Terrain synthesis, voxel engines, noise-driven systems
  • Scientific Computing: CFD, FEA, multi-physics solvers
  • Computational Geometry: 3D mesh processing, volumetric data structures, spatial partitioning
Key Responsibilities:
  1. Algorithmic Implementation — Design memory-efficient algorithms for massive 3D voxel arrays and sparse data structures; implement deterministic and stochastic geometric rules
    • Example: Build C++/Python kernels using 3D Perlin/Simplex noise and vector fields to simulate braided river systems
    • Example: Implement Boolean CSG algorithms for volumetric injections of igneous bodies
  2. Generative ML Engineering — Architect and train models (GANs, Diffusion) for high-resolution 3D spatial data using PyTorch
    • Example: Generate realistic fracture networks via 3D generative models
    • Example: Apply neural style transfer to map sedimentary textures onto volumetric frameworks
 
Required Technical Skills:
  • Languages: Expert Python (NumPy/SciPy/CuPy); proficient C++ for performance kernels
  • Mathematics: Linear algebra, vector calculus, coordinate transformations
  • ML Frameworks: PyTorch (generative AI, computer vision)
  • Performance: CUDA/OpenMP; parallel computing experience
  • Workflow: AI-assisted coding for rapid prototyping and testing
 
Domain Knowledge:
Mathematical maturity in:
  • Structural modeling
  • Sedimentology
  • Tectonics
  • Geostatistics
 
Ideal Background:
  • MS/PhD in Computer Science, Applied Mathematics, Computational Physics, or equivalent
  • Portfolio/GitHub demonstrating procedural world-building, physics engines, or scientific simulators