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Computational Modeling Jobs in Minnesota (NOW HIRING)

Eng Prin - Mod & Sim

Maple Grove, MN · On-site

$118K - $200K/yr

Responsibilities include the development and application of Computational Fluid Dynamics (CFD) Physics-Based Models and Simulation supporting the design, testing, and integration of weapon systems ...

New

Ability to explain modeling techniques for physical systems, approximation methods, and stability analysis while preparing students for engineering, physics, finance, and computational science ...

Ability to explain modeling techniques for physical systems, approximation methods, and stability analysis while preparing students for engineering, physics, finance, and computational science ...

Ability to explain modeling techniques for physical systems, approximation methods, and stability analysis while preparing students for engineering, physics, finance, and computational science ...

Rhino Tutor

Minneapolis, MN · Remote

$18 - $40/hr

Adapts instruction using step-by-step modeling tutorials, Grasshopper algorithm exercises, and fabrication projects to support students from Rhino beginners through advanced computational designers ...

Rhino Tutor

Edina, MN · Remote

$18 - $40/hr

Adapts instruction using step-by-step modeling tutorials, Grasshopper algorithm exercises, and fabrication projects to support students from Rhino beginners through advanced computational designers ...

Rhino Tutor

Saint Paul, MN · Remote

$18 - $40/hr

Adapts instruction using step-by-step modeling tutorials, Grasshopper algorithm exercises, and fabrication projects to support students from Rhino beginners through advanced computational designers ...

Showing results 41-60

Computational Modeling information

See Minnesota salary details

$40

$53

$72

How much do computational modeling jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for computational modeling in Minnesota is $53.80, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $72.02 per hour, depending on experience, location, and employer.

What is computational modeling?

A Computational Modeling job involves developing and using mathematical models, simulations, and algorithms to analyze complex systems across various fields, such as engineering, physics, biology, and finance. Professionals in this role apply computational techniques to study real-world phenomena, predict outcomes, and optimize processes. They often work with programming languages, statistical methods, and high-performance computing to create accurate and efficient models.

What are the key skills and qualifications needed to thrive in computational modeling?

To thrive in computational modeling, a strong background in mathematics, computer science, and domain-specific knowledge (such as engineering, physics, or biology) is essential, often supported by at least a bachelor's or master's degree in a related field. Familiarity with programming languages like Python, MATLAB, or R, as well as experience with simulation software and data analysis tools, is typically required. Strong problem-solving, analytical thinking, and effective communication skills set outstanding candidates apart. These abilities enable professionals to build accurate models, collaborate successfully with interdisciplinary teams, and translate complex results into actionable insights.

What does a computational modeler do?

A typical day for a computational modeling professional often involves developing and refining mathematical or computer-based models, running simulations, and analyzing large datasets to draw meaningful conclusions. You’ll collaborate closely with domain experts, engineers, and researchers to ensure models accurately reflect real-world processes. The role may also involve presenting findings to stakeholders, troubleshooting code or software issues, and keeping up with new modeling techniques and industry advancements. This dynamic environment requires balancing independent problem-solving with teamwork and communication.

What are the most commonly searched types of Computational Modeling jobs in Minnesota? The most popular types of Computational Modeling jobs in Minnesota are:
What are popular job titles related to Computational Modeling jobs in Minnesota? For Computational Modeling jobs in Minnesota, the most frequently searched job titles are:
Infographic showing various Computational Modeling job openings in Minnesota as of August 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $111,897 per year, or $53.8 per hour.

Staff Engineer, Machine Learning Life Sciences

Inari Agriculture, Inc.

North Oaks, MN • On-site

$148.53 - $204.25/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

About the role

Inari is seeking a Staff Machine Learning Engineer to join our AI Team in support of our mission of transforming agriculture through predictive design and advanced gene editing. This role will focus on delivering production‑ready ML pipelines using existing models while also exploring new modeling approaches to advance our ability to drive step‑change trait improvement in crops. As an individual contributor at staff level, you will drive major workstreams with autonomy while collaborating closely with cross‑functional teams of computational biologists, software engineers, and crop scientists.

Responsibilities
  • Build, deploy, and maintain production ML pipelines and infrastructure to serve predictions at scale, including model versioning, monitoring, and lifecycle management.
  • Integrate ML systems with genomic, phenotypic, and biological data platforms using AWS and containerization technologies.
  • Partner with computational and experimental biologists to contextualize heterogeneous biological data and drive research‑critical modeling programs.
  • Train and validate statistical and ML models; prototype new approaches and evaluate feasibility for production deployment.
  • Implement integrations with strategic third‑party tools, foundation models, and AI agents; stay current with ML research to identify applicable methods.
  • Drive major workstreams autonomously while collaborating effectively with teammates and cross‑functional stakeholders.
  • Communicate technical results clearly across disciplines and contribute to technical decisions, code reviews, and engineering standards.
Qualifications
  • Required education and experience: MS or PhD in Computer Science, Engineering, Statistics, Mathematics, Computational Biology, or related field (or BS with equivalent experience); 6+ years of ML engineering experience with an emphasis on production systems.
  • Production ML: Proven ability to deploy, maintain, and monitor ML models and pipelines at scale.
  • Python & frameworks: Advanced scientific Python (NumPy, Pandas, scikit‑learn) and hands‑on experience with PyTorch and/or TensorFlow, including training and deploying neural networks.
  • Cloud & MLOps: Experience with AWS (EC2, S3, SageMaker), containerization (Docker), experiment tracking (MLflow), and workflow orchestration (Airflow or equivalent).
  • Cross‑disciplinary collaboration: Comfortable interfacing with biologists and life scientists, translating between biological and ML framings, and communicating technical results to diverse audiences.
  • Ownership & drive: Track record of owning solutions and deliverables end‑to‑end—setting direction, aligning stakeholders, and seeing work through to impact—while remaining a collaborative and engaged team member.
  • Strongly preferred: Familiarity with biological data types (genomic, transcriptomic, proteomic), common file formats (FASTA, GFF, VCF, BAM), and sequence modeling methods applied to DNA/RNA/protein data; awareness of current research in applying deep learning to biological sequences (e.g., genomic transformers, protein language models); experience with graph neural networks or network analysis tools for modeling complex biological relationships.
Benefits
  • Competitive salary range: $148,530 – 204,250.
  • Compensation includes base, short‑term incentive, and long‑term equity with a one‑time new hire stock option grant.
  • Comprehensive benefits package: PPO and HDHP with company‑funded HSA, vision, dental, flexible spending accounts, voluntary benefits, and a robust wellness program.
  • 401(k) plan with company matching and flexible paid time off.
  • Hybrid work model: weekly split between in‑office and remote work.

Inari is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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