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Computational Design Jobs in Portland, OR (NOW HIRING)

... design considerations. * Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios. * Develop reproducible ...

... design considerations. * Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios. * Develop reproducible ...

... design considerations. * Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios. * Develop reproducible ...

... design considerations. * Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios. * Develop reproducible ...

... design considerations. * Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios. * Develop reproducible ...

... design considerations. * Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios. * Develop reproducible ...

... design considerations. * Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios. * Develop reproducible ...

... design considerations. * Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios. * Develop reproducible ...

... design considerations. * Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios. * Develop reproducible ...

... design considerations. * Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios. * Develop reproducible ...

Showing results 21-40

Computational Design information

See Portland, OR salary details

$43

$58

$78

How much do computational design jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for computational design 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 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 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.

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.

Is computational design an in demand career?

Computational design is a growing field with increasing demand across architecture, engineering, and product development industries. Professionals skilled in programming, parametric modeling, and software like Rhino, Grasshopper, or Dynamo are sought after as companies adopt digital fabrication and automation technologies.

What job categories do people searching Computational Design jobs in Portland, OR look for?

The top searched job categories for Computational Design jobs in Portland, OR are:

What cities near Portland, OR are hiring for Computational Design jobs?

Cities near Portland, OR with the most Computational Design job openings:

Infographic showing various Computational Design job openings in Portland, OR as of August 2026, with employment types broken down into 80% Full Time, 6% Part Time, 2% Temporary, and 12% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $121,162 per year, or $58.3 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Hillsboro, OR • Remote

$80 - $110/hr

Part-time

Posted 15 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.