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Computational Modeling Jobs in Portland, OR (NOW HIRING)

WHO YOU'LL WORK WITH We are seeking a Lead Computational Designer to join the Footwear Digital ... Highly skilled in 2D design and 3D modeling software (Rhino/Grasshopper, Houdini, Maya, Blender ...

Senior Computational Engineer

Portland, OR · On-site

$110K - $152K/yr

About the Job As a Senior Computational Engineer, you will lead and improve the use of high ... Compare CFD results against reduced-order models, BEM tools, time-domain device simulations ...

Senior Computational Engineer

Portland, OR · On-site

$110K - $152K/yr

About the Job As a Senior Computational Engineer, you will lead and improve the use of high ... Compare CFD results against reduced-order models, BEM tools, time-domain device simulations ...

Senior Computational Engineer

Portland, OR

$110K - $152K/yr

About the Job As a Senior Computational Engineer, you will lead and improve the use of high ... Compare CFD results against reduced-order models, BEM tools, time-domain device simulations ...

Provide feedback and domain-specific insights to improve AI models in computational biology contexts. * Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

Provide feedback and domain-specific insights to improve AI models in computational biology contexts. * Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

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Showing results 1-20

Computational Modeling information

See Portland, OR salary details

$43

$58

$78

How much do computational modeling jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for computational modeling in Portland, OR is $58.25, according to ZipRecruiter salary data. Most workers in this role earn between $49.71 and $78.03 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 popular job titles related to Computational Modeling jobs in Portland, OR? For Computational Modeling jobs in Portland, OR, the most frequently searched job titles are:
Infographic showing various Computational Modeling job openings in Portland, OR as of August 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 60% In-person, 20% Hybrid, and 20% Remote job distribution, with an average salary of $121,162 per year, or $58.3 per hour.

Computational Biologist - AI Reviewer

micro1 AI

Vancouver, WA • On-site, Remote

$90 - $120/hr

Part-time

Posted 11 days ago


Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.