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Computational Design Jobs in Seattle, WA (NOW HIRING)

Computational Biologist - AI Reviewer

Kent, WA ยท On-site +1

$90 - $120/hr

Computational Biology Expert Role Type: Contractor Location: Remote micro1 is engaging ... Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.

Senior/Principal Scientist (Theory)

Everett, WA ยท On-site

$130K - $160K/yr

Experience leading computational design optimization and experimental validation * Strong knowledge of scientific computing and algorithms (CFD, MHD, continuum kinetic modeling, PIC, etc. * Proven ...

Intern Architect

Seattle, WA ยท Hybrid

$30 - $35/hr

Apply computational design methods, digital workflows, and emerging technologies to support and enhance architectural design projects. Explore and experiment with evolving tools and techniques to ...

Intern Architect

Seattle, WA ยท On-site +1

$30 - $35/hr

Apply computational design methods, digital workflows, and emerging technologies to support and enhance architectural design projects. * Explore and experiment with evolving tools and techniques to ...

Principal Architect - Transit

Seattle, WA ยท On-site

$110K - $215K/yr

Skills in computational design, or other emerging technologies. * Demonstrated technical ability and leadership skills * Clear communication skills, including presentation skills * Patience and ...

Principal Architect - Transit

Seattle, WA ยท On-site

$110K - $215K/yr

Skills in computational design, or other emerging technologies. * Demonstrated technical ability and leadership skills * Clear communication skills, including presentation skills * Patience and ...

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Computational Design information

See Seattle, WA salary details

$46

$62

$84

How much do computational design jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for computational design in Seattle, WA is $62.51, according to ZipRecruiter salary data. Most workers in this role earn between $53.37 and $83.70 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in computational design, and why are they important?

To thrive in Computational Design, a strong background in mathematics, programming, and design principles is essential, often supported by a degree in architecture, engineering, computer science, or a related field. Proficiency in software tools such as Rhino, Grasshopper, Python, MATLAB, and CAD platforms is typically required, along with relevant certifications in parametric or generative design if available. Strong problem-solving skills, creative thinking, and the ability to collaborate across multidisciplinary teams help candidates excel in this position. Mastery of these skills enables the creation of innovative, efficient solutions for complex design challenges and facilitates effective teamwork within fast-moving project environments.

What does a typical day look like for someone working in computational design?

A typical day in Computational Design involves using specialized software to develop, test, and refine design algorithms that solve spatial or structural problems. You might collaborate with architects, engineers, or product designers to create digital prototypes, analyze performance data, and implement feedback for iterative improvement. Much of the work is project-based and requires frequent teamwork and meetings to align goals and ensure smooth integration of computational solutions into larger projects. Expect a dynamic environment where problem-solving and creativity are highly valued, and learning opportunities are ongoing as you stay up-to-date with new tools and methods.

Is computational design a good career?

Computational design is a growing field that combines design skills with programming and data analysis, often requiring knowledge of software like Rhino, Grasshopper, or Python. It offers opportunities in architecture, product design, and engineering, with a focus on innovation and problem-solving. Job prospects depend on industry demand, technical proficiency, and the ability to adapt to new tools and technologies.

What is a computational design?

A Computational Design job involves using algorithms, programming, and digital tools to create and optimize designs across various disciplines such as architecture, engineering, and product design. Professionals in this field leverage parametric modeling, generative design, and automation to enhance efficiency and innovation. They often work with software like Grasshopper, Dynamo, Python, or machine learning frameworks to solve complex design challenges. This role blends creativity with technical expertise to develop smarter, data-driven design solutions.

What are the most commonly searched types of Computational Design jobs in Seattle, WA? The most popular types of Computational Design jobs in Seattle, WA are:
What are popular job titles related to Computational Design jobs in Seattle, WA? For Computational Design jobs in Seattle, WA, the most frequently searched job titles are:
What cities near Seattle, WA are hiring for Computational Design jobs? Cities near Seattle, WA with the most Computational Design job openings:
Infographic showing various Computational Design job openings in Seattle, WA as of August 2026, with employment types broken down into 77% Full Time, 8% Part Time, and 15% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $130,019 per year, or $62.5 per hour.

Computational Biologist - AI Reviewer

micro1 AI

Everett, WA โ€ข On-site, Remote

$90 - $120/hr

Part-time

Posted 12 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 โ€” 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.