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Computational Design Jobs in California (NOW HIRING)

Computational Biologist

South San Francisco, CA · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Description NewLimit is seeking a Computational Biologist to join our Predict team. In this role ... Collaborate with Write, Read, and Predict teams to support the design, execution, and ...

Design and execute fast computational experiments to determine whether specific multi-omic panels add incremental predictive value over standard clinical risk factors or polygenic risk scores.

This gives our computational scientists something rare: a direct, high-throughput bridge from in silico design to physically synthesised molecules, closing the design-make-test loop at a pace ...

As a Computational Neuroscientist, you will play a pivotal role in advancing our research by using ... Responsibilities : • Design and iterate on stimulus paradigms at scale in collaboration with our ...

Director, Biotherapeutics Discovery

San Francisco, CA · On-site

$204K - $281K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... computational design, pharmacology, translational sciences, Immunology, and Neurology, to initiate and shape discovery campaigns Guide modality and candidate selection based on target biology ...

The role of Computational Scientist involves developing and scaling advanced solvers for complex ... Design simulation pipelines that generate training data for neural operator models -- including ...

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Computational Design information

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How much do computational design jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for computational design in California is $54.21, according to ZipRecruiter salary data. Most workers in this role earn between $46.25 and $72.60 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 California?

The most popular types of Computational Design jobs in California are:

What cities in California are hiring for Computational Design jobs?

Cities in California with the most Computational Design job openings:

Infographic showing various Computational Design job openings in California as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 8% Part Time, 2% Temporary, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $112,753 per year, or $54.2 per hour.

Computational Biologist

NewLimit

South San Francisco, CA • On-site

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


Job description

About NewLimit

NewLimit is a biotechnology company working to radically extend human healthspan. We're developing medicines to treat age-related diseases by reprogramming the epigenome, a new therapeutic mechanism to restore regenerative potential in aged and diseased cells. We leverage functional genomics, pooled perturbation screening, and machine learning models to unravel the biology of epigenetic aging and disease using experiments of unprecedented scale.

Description

NewLimit is seeking a Computational Biologist to join our Predict team. In this role, you will develop, improve, and operate bioinformatics pipelines supporting large-scale single-cell perturbation screens. Success in this position requires a deep attention to methodological detail at every stage of the analysis, as well as careful measurement and evaluation of pipeline performance.

You will work closely with experimentalists and computational scientists to maintain core infrastructure, assess emerging analysis tools, and build robust software solutions that improve efficiency, scalability, and reliability.

As a member of our team, you will:

  • Collaborate with Write, Read, and Predict teams to support the design, execution, and interpretation of experiments using single-cell and multi-omics data
  • Contribute to the development and implementation of primary and secondary analysis software.
  • Improve and run production pipelines for large-scale single-cell perturbation screens to ensure timely and reliable data delivery
  • Contribute to the development of reproducible, well-documented computational workflows and internal best practices
  • Develop microservice web applications and integrations that reduce wet lab manual effort and improve data flow between teams
Requirements
  • Bachelor's, Master's, or PhD in Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related technical field
  • Experience analyzing and interpreting single-cell or multi-omics datasets (e.g., scRNA-seq, multiome, scATAC-seq), with hands-on exposure to perturbation screens preferred
  • Familiarity with core single-cell bioinformatics workflows, including demultiplexing, alignment, and quality control
  • Strong software engineering fundamentals and experience working with bioinformatics tools and pipelines
  • Working knowledge of statistical and machine learning methods applied to biological data (e.g. regression analysis, supervised learning) sufficient to critically evaluate analytical choices and interpret results conceptually
Nice to haves
  • Proficiency with Python-based data science tools (NumPy, SciPy, Pandas)
  • Experience with cloud computing environments (AWS, GCP, or Azure)
  • Strong Python programming skills and comfort working in Unix-based environments
  • Experience with containerized workflows (Docker, Singularity)
  • Familiarity with molecular biology workflows and experimental genomics
Benefits
  • Health, dental, and vision insurance
  • 401(k) with company match
  • Industry-leading paid time off (PTO) -- 20 days/year for all employees + holidays
  • Paid parental leave
  • Meals and snacks on-site

Salary Range: $150,000 to $200,000+. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. NewLimit offers a competitive benefits package, which includes a 401k, healthcare coverage, and 20 days of PTO. Learn more at: https://www.newlimit.com/careers   *This compensation and benefits information is based on Company's good faith estimate as of the date of publication and may be modified in the future.