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Computational Design Jobs (NOW HIRING)

Arcadis

Computational Designer

Los Angeles, CA · On-site +1

$22 - $27/hr

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy ... Build computational models for various projects * Build, maintain and improve computational ...

New

HGA

Sr Computation Design Lead

Minneapolis, MN

Computational Design Strategy & Innovation * Develop and advance computational design strategies that enhance design quality, project performance, and digital delivery across HGA. * Identify ...

New

HGA

Sr Computation Design Lead

Minneapolis, MN · On-site

Computational Design Strategy & Innovation * Develop and advance computational design strategies that enhance design quality, project performance, and digital delivery across HGA. * Identify ...

New

Arcadis

Computational Designer

Los Angeles, CA · On-site

$22 - $27/hr

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy ... Build computational models for various projects * Build, maintain and improve computational ...

Build Technologies

Computational Designer

Manhattan, NY · On-site

$80 - $120/hr

This role sits at the centre of that, applied to design. We are looking for a computational designer who has likely trained at one of the world's leading architecture or engineering firms, or built ...

New

Oxman

Computational Designer

New York, NY · On-site

$115K - $143K/yr

Company Overview OXMAN is a nature-based research and design company based in Manhattan. We ... Role Overview OXMAN is seeking a Computational Designer to join the EDEN design team and develop ...

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Computational Design information

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How much do computational design jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for computational design in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 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.
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Computational Design jobs near you
Infographic showing various Computational Design job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 3% Part Time, 2% Temporary, and 13% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Scientist, Computational Protein Design

Adimab

Mountain View, CA • On-site

Full-time

Medical, Retirement

Re-posted 16 days ago

Job description

Role: Scientist, Computational Protein Design

Adimab is the leading technology provider for therapeutic antibody drug discovery, focusing solely on our partnerships without pursuing an internal product pipeline. Since 2009, we have partnered with over 140 pharmaceutical and biotechnology companies, generating more than 650 therapeutic programs, of which more than 85 have entered clinical trials.  

Role Overview 
The role is on Adimab's computational biology team in Mountain View, CA. Data-driven approaches have been central to the development of the Adimab platform, and the team is actively utilizing and developing modern de novo protein design and generative AI methods to extend its capabilities. You will serve as the computational lead for protein design campaigns, embedded within a world-class team of modeling and wet-bench scientists, with direct access to Adimab's industry-leading experimental capabilities to drive the design-build-test cycle.  

Responsibilities 

  • Take end-to-end ownership of computational protein design campaigns — from design generation through wet-lab collaboration, analysis of experimental data, and optimization of the design-build-test cycle. Applications span de novo epitope-targeted IgG, VHH, and minibinder design, as well as protein solubilization and stabilization. 
  • Partner with wet-lab teams to design experiments that generate custom training data for affinity, epitope, and specificity prediction models. Train and rigorously benchmark resulting models against internal and external baselines. 
  • Build and maintain the computational infrastructure supporting both protein design campaigns and model development, including reproducible pipelines and integration of computational outputs with wet-lab data. 
  • Track developments in computational protein design and ML; evaluate relevance to Adimab's platform and identify opportunities for integration. 
  • Serve as a resource for wet-lab scientists on AI/ML capabilities and best practices, helping antibody and protein engineering teams apply computational design methods. 

Needed Upon Hire 

  • PhD in Biophysics, Biochemistry, Structural Biology, Computational Biology, or a related field. 
  • 2–4 years of post-PhD experience specifically in computational protein or binder design. 
  • Strong foundation in the analysis of structural and energetic factors driving protein-protein interactions. 
  • Proficiency with structure prediction and generative design tools such as RFAntibody, BindCraft, and Protenix. Crystallography or cryo-EM experience is a plus. 
  • Strong Python skills and experience building reproducible analysis and modeling pipelines. 
  • Proven track record of publication or patent contribution in applied ML for proteins or computational design. 
Pay Range: $156,800 - $165,760 base salary and eligibility for 15% bonus

Come join us! 

Our integrated antibody discovery and engineering platform provides unprecedented speed from antigen to purified, full-length human IgGs with exquisite specificity and biophysical behavior. We offer fundamental advantages by delivering diverse panels of antibodies that meet the most demanding standards for affinity, epitope specificity, species cross-reactivity, and developability. We enable our partners to rapidly expand their biologics pipelines through a broad spectrum of technology access arrangements.

As a profitable privately-held biotech company, we take a long-term view on value creation and make substantial investments in technology development, research, and our people. We offer individually tailored compensation packages comprised of a competitive salary, meaningful equity, a 2:1 401(k) match, and comprehensive health care benefits.

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