ZipRecruiter

Log In

1

Computational Designer Jobs (NOW HIRING)

Latent Labs

Computational Protein Designer

San Francisco, CA · On-site

$24.25 - $29.50/hr

Computational Protein Designer The opportunity We are seeking a Computational Protein Design Scientist to join our team working at the interface of generative AI and synthetic biology. Working ...

Battelle

Computational Biologist

Columbus, OH · On-site

As a Computational Biologist II (Protein Engineering), you will contribute to cutting edge research ... designs. Responsibilities Protein Engineering / Protein Modeling (Primary Focus) You will be ...

Oxman

Designer

New York, NY · On-site

$110K - $165K/yr

Collaborate with architects, landscape architects, and computational designers to design nature-centric developments, including industrial campuses, residential communities, and urban interventions.

Alljoined

Computational Neuroscientist

San Francisco, CA · On-site

$120K - $160K/yr

About the Role As a Computational Neuroscientist , you will play a pivotal role in advancing our ... Extensive experience in designing and executing neuroscience studies, including the analysis of ...

Valius Sciences

Computational Biologist

San Francisco, CA · On-site

$125K - $185K/yr

Computational biologist role We're hiring a computational biologist to analyze our patients' omics ... Collaborate closely with colleagues across disciplines to ensure analyses are well-designed, well ...

Urus Group LP

Computational Biologist

Madison, WI · On-site

Skill in formulating hypotheses, finding relevant data, and designing computational experiments. * Adaptability: Eagerness to learn new methods and tools to tackle evolving biological challenges.

Urus

Computational Biologist

Madison, WI · On-site

Skill in formulating hypotheses, finding relevant data, and designing computational experiments. * Adaptability: Eagerness to learn new methods and tools to tackle evolving biological challenges.

AgSource

Computational Biologist

Madison, WI · On-site

Skill in formulating hypotheses, finding relevant data, and designing computational experiments. * Adaptability: Eagerness to learn new methods and tools to tackle evolving biological challenges.

Thea Energy

Computational Plasma Physicist

Kearny, NJ

$120K - $140K/yr

Collaborate with cross-disciplinary teams to refine designs and improve the performance of ... PhD in Plasma Physics, Computational Physics, Applied Physics, or a related field, or master ...

next page

Showing results 1-20

All JobsComputational Designer Jobs

Computational Designer information

See salary details

$14

$23

$43

How much do computational designer jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for computational designer in the United States is $23.71, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $24.04 per hour, depending on experience, location, and employer.

What jobs pay $500,000 a year in the US?

In the US, highly specialized roles such as senior executives, investment bankers, and certain medical specialists can earn $500,000 or more annually. Computational designers typically do not reach this level of compensation unless they hold executive or leadership positions, work in high-paying industries, or have significant experience and unique skills. Achieving such income often requires advanced expertise, a strong portfolio, and sometimes entrepreneurial ventures or ownership stakes.

What is a Computational Designer job?

A Computational Designer uses algorithms, parametric modeling, and coding to generate and optimize design solutions. They work at the intersection of design, engineering, and technology, leveraging tools like Python, Grasshopper, or Dynamo to automate processes and create complex geometries. This role is common in architecture, product design, and digital fabrication, where efficiency and innovation are key.

What are the main challenges a Computational Designer might face in their day-to-day work?

Computational Designers often face the challenge of translating conceptual design ideas into workable digital models that can be efficiently fabricated or integrated into real-world projects. They may need to constantly update their skills to keep up with evolving software and emerging technologies in the field. Balancing creative vision with practical constraints, such as material limitations or project budgets, can also be demanding. However, these challenges are also what make the role dynamic and provide opportunities for continual learning and innovation.

What jobs make $10,000 a month without a degree?

Computational designers typically do not earn $10,000 a month without specialized skills and experience; high-paying roles in this field often require advanced education or significant industry expertise. However, some freelance or self-employed professionals in tech, digital design, or consulting can reach this income level through project-based work, strong portfolios, and networking. Success in such roles depends on skill level, reputation, and the ability to secure high-value clients or contracts.

What is a computational designer job description?

A computational designer develops digital tools, algorithms, and parametric models to inform and optimize design processes in architecture, engineering, or product development. They often use software such as Rhino, Grasshopper, or Dynamo and combine skills in programming, geometry, and design thinking to create innovative solutions. The role typically requires proficiency in coding languages like Python or C# and a strong understanding of design principles.

Is computational design an in demand career?

Computational designers are increasingly in demand across architecture, engineering, and product design industries due to their skills in programming, parametric modeling, and digital fabrication. The role often requires proficiency in tools like Rhino, Grasshopper, or Dynamo, and job growth is driven by the adoption of automation and data-driven design processes.

What are the key skills and qualifications needed to thrive in the Computational Designer position, and why are they important?

A successful Computational Designer typically holds a degree in architecture, engineering, or design with strong proficiency in computational modeling, algorithmic thinking, and digital fabrication. Expertise with tools such as Rhino, Grasshopper, Autodesk Revit, and proficiency in scripting languages like Python or C# are highly valued, as are certifications in relevant software. Strong collaboration skills, creativity, and the ability to communicate complex ideas clearly are vital soft skills. These qualities enable Computational Designers to effectively tackle complex design challenges, innovate processes, and contribute meaningfully to multidisciplinary teams.

More about Computational Designer jobs
What cities are hiring for Computational Designer jobs? Cities with the most Computational Designer job openings:
What are the most commonly searched types of Computational Designer jobs? The most popular types of Computational Designer jobs are:
What states have the most Computational Designer jobs? States with the most job openings for Computational Designer jobs include:
What job categories do people searching Computational Designer jobs look for? The top searched job categories for Computational Designer jobs are:
Computational Designer jobs near you

Computational Protein Designer

Latent Labs

San Francisco, CA • On-site

$24.25 - $29.50/hr

Full-time

Medical, Retirement

Posted 19 days ago

Job description

Computational Protein Designer
The opportunity
We are seeking a Computational Protein Design Scientist to join our team working at the interface of generative AI and synthetic biology. Working closely with our Lead Computational Protein Designer, you will play a key role amongst a team of scientists designing and engineering proteins for specific functions. This is an opportunity to help shape and grow an organization that advances artificial intelligence and applies it to longstanding scientific challenges. Using your blend of computational expertise and in-depth biochemical understanding of proteins, you will generate insights to improve protein functionality and operate at the interface between our machine learning and experimental platform units, working closely to seamlessly integrate AI generations and lab validation data.
Who we are
At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.
Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.
We're looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission.
Who you are
  • You are a computational protein designer. You have a proven track record of running protein design campaigns end-to-end, successfully leveraging novel computational tools and knowledge of biochemistry or structural biology to design proteins to functional requirements and applications in synthetic biology.
  • You are a generative modelling enthusiast You have AI generative modeling experience, including model training and large scale inference.
  • You are a successful scientist. You have a PhD (or equivalent industry experience) in computational biology, bioinformatics, computer science, biochemistry, structural biology, physics, biophysics, bio/chem engineering, or a related field. Your research experience was in protein biochemistry using computational expertise.
  • You are a protein biochemist. You have extensive wet lab biology experience, and can independently execute end-to-end design campaigns, including experimental validation, to achieve protein design objectives.
  • You are an owner. You have a proven track record of delivering successful commercial and / or academic research projects, demonstrated through publications, patents, and/or commercially impactful outcomes, as well as other contributions to the scientific community.
  • You are a connector. You love to connect people and enable them to perform at their highest levels. You have excellent communication and presentation skills with the ability to convey complex scientific concepts to both technical and non-technical audiences.
  • You are a mission driven innovator. You are passionate about making a positive impact on the world, whether it's for patients, partners or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies.
  • You thrive in a dynamic and ambiguous environment. You excel in a fast-paced setting where goals must be achieved efficiently and urgently. You have a keen eye for creating, then optimizing processes to improve speed and repeatability. You are an advocate for lab automation, both through hardware and software
What sets you apart (preferred but not required)
  • You have experience with generative AI. You have experience leveraging generative AI (or other machine learning models) in synthetic biology applications.
  • You have experience with homology-based and structural bioinformatics, and are able to answer scientific questions using very large databases.
  • You have helped scale a young biotech before. You have worked in startups and helped the company grow.
Your responsibilities
  • Leverage our proprietary generative AI models to design proteins for experimental validation:
    • Analyze protein design problems based on functional requirements, biochemistry, structural biology and sequence homology
    • Generate designs using our proprietary generative AI models and optimize designs for experimental validation
    • Coordinate with our lab-based protein engineers to plan and optimize the design process and validation strategy
  • Leverage our proprietary data to improve our models:
    • Analyze and leverage our experimental results to improve the next round of designs and increase our success rate over validation rounds
    • Collaborate with machine learning scientists to fine-tune and prompt our models
  • Develop and execute biochemical assays for wet-lab validation:
    • Develop and carry out experimental validation strategies for computationally designed proteins, including but not limited to: protein expression and purification, biophysical characterisation, and functional assays.
  • Collaboration and communication:
    • Be an effective interface between machine learning model development and experimental validation
    • Capture bioengineering learnings and feedback to our machine learning unit, and vice versa
    • Foster a collaborative and innovative environment, proactively finding opportunities to innovate and create clarity and alignment between different units
  • Contribute to our computational tools:
    • Help improve the way we use, serve and integrate our AI models, by feeding back to the software engineers and foundational machine learning unit
    • Help improve our data management systems and workflows
  • Scientific excellence and self development:
    • Work to the highest scientific standards (publication-grade work)
      Stay on top of relevant developments in synthetic biology
    • Continue building your understanding of generative AI as well as expanded areas of protein and cell biology
    • Participate in knowledge sharing, e.g. organize and present at our internal reading group.
    • Attend and present at conferences when relevant
Apply
We offer strongly competitive compensation and benefits packages, including:
  • Private health insurance
  • Pension/401(K) contributions
  • Generous leave policies (including gender neutral parental leave)
  • Hybrid working
  • Travel opportunities and more

We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.
We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

Apply