ZipRecruiter

Log In

1

Computational Science Jobs in California (NOW HIRING)

Valius Sciences

Computational Biologist

San Francisco, CA · On-site

$150 - $200/hr

Computational biologist role We\'re hiring a computational biologist to analyze our patients' omics ... This role sits at the intersection of cutting-edge science and real-world clinical impact: you\'ll ...

Iambic Therapeutics, Inc

$124K - $172K/yr

JOB SUMMARY We are seeking a skilled and highly motivated Computational Chemist to join our ... science and technology company developing novel medicines using its AI-driven discovery and ...

previous page

Showing results 41-60

All JobsComputational Science JobsComputational Science Jobs in California

Computational Science information

See California salary details

$55.8K

$82K

$96.7K

How much do computational science jobs pay per year?

As of Sep 7, 2026, the average yearly pay for computational science in California is $82,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What is computational science?

Computational science is an interdisciplinary field that uses advanced computing capabilities to understand and solve complex problems. It combines elements of mathematics, computer science, and domain-specific knowledge to create simulations, analyze data, and model physical, biological, or social systems. Computational scientists develop algorithms and use high-performance computing to tackle problems that are difficult or impossible to solve analytically. This field is essential in areas such as climate modeling, drug discovery, engineering, and physics.

What are the key skills and qualifications needed to thrive as a computational scientist, and why are they important?

To thrive as a Computational Scientist, you need a strong background in mathematics, programming (such as Python, C++, or MATLAB), and domain-specific scientific knowledge, often supported by an advanced degree in a relevant field. Familiarity with high-performance computing (HPC) systems, parallel processing frameworks, and scientific data analysis tools is typically required. Excellent problem-solving skills, collaboration, and effective communication set top candidates apart in interdisciplinary research environments. These skills and qualities are crucial for driving innovative scientific discovery and translating complex data into actionable insights.

What are some common challenges faced by computational scientists when working on interdisciplinary projects?

Computational scientists often collaborate with experts from fields like biology, physics, or engineering, which can present challenges in bridging gaps in domain-specific knowledge and communication styles. Adapting computational models to fit the unique requirements of different disciplines, while ensuring accuracy and efficiency, is a frequent hurdle. Additionally, managing large datasets and integrating diverse computational tools requires strong technical and organizational skills. Open communication and a willingness to learn from colleagues are key to overcoming these challenges and achieving successful project outcomes.

What is the difference between Computational Science vs Data Scientist?

AspectComputational ScienceData Scientist
Required CredentialsDegree in science, engineering, or computational fields; often requires advanced degreesDegree in statistics, computer science, or related fields; often requires knowledge of programming and analytics
Work EnvironmentResearch labs, universities, industry R&D departmentsTech companies, finance, healthcare, consulting firms
Industry UsageScientific research, simulation, modelingData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

Computational Science focuses on developing models and simulations to solve scientific and engineering problems, often requiring advanced degrees and research environments. Data Scientists analyze large datasets to extract insights and support decision-making, typically working in business or tech sectors. While both roles involve programming and data handling, their primary goals and work settings differ significantly.

Is computational science a good career?

Computational science is a viable career that involves using computer models, simulations, and data analysis to solve complex scientific problems. It typically requires strong skills in programming, mathematics, and domain knowledge, and offers opportunities in research, industry, and academia with competitive salaries and growth potential.

What can you do with a computational science degree?

A computational science degree prepares individuals for roles such as computational scientist, data analyst, simulation engineer, or research scientist. Graduates often work in industries like technology, healthcare, finance, or government, utilizing skills in programming, modeling, and data analysis to solve complex problems. Knowledge of tools like Python, MATLAB, or high-performance computing environments is also valuable.

What are popular job titles related to Computational Science jobs in California?

For Computational Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Computational Science jobs in California look for?

The top searched job categories for Computational Science jobs in California are:

What cities in California are hiring for Computational Science jobs?

Cities in California with the most Computational Science job openings:

Computational Science jobs near you
Infographic showing various Computational Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $82,020 per year, or $39.4 per hour.

Applied & Computational Research Scientists

SRI International

Menlo Park, CA • Hybrid

$112K - $149K/yr

Full-time

Re-posted 12 days ago

Job description

The Applied Sciences Laboratory at SRI International is seeking multiple Applied and Computational Scientists to conduct research and development in the areas of mathematics of generative AI models, reinforcement learning, and algorithm design. Though knowledge in one or more of these areas is desired, the ability to quickly learn new topics and dive into unfamiliar areas of research is a key ability that will be required.  These positions will be in support of a new computational and mathematical sciences team at SRI International headquarters in Menlo Park, CA, with flexibility for a hybrid work schedule. We are looking to fill in June, July or August, 2026. 

Our team focuses on the development of new algorithms for a wide variety of exciting applications including supply chain networks, social graphs, optimization of generative AI models, material failures, quantum algorithms, and biological systems. The aim of the team is to conduct and publish research at top venues and assist SRI commercialize relevant technologies by filing patents and spinning out start-ups.


Successful candidates will start on the PI track:

  • Develop research ideas, lead the experimental evaluation of these ideas, present work to government and commercial clients,  
  • Collaborate with project Principal Investigators (PIs) and their staff in academia, Industrial and National Labs
  • Document research in technical reports and research papers
  • Write Proposals
  • Propose ideas against funding opportunities.
  • Develop and implement new algorithms and benchmark against state-of-the-art approaches
  • Upon successful program awards the position will transition into PI function
  • Some travel will be required to project meetings, and conference venues

  • Ph.D. in Applied Mathematics, Physics or Engineering with a focus on computational sciences, Computer Science or related area.
  • Demonstrated publication record.
  • Must have U.S. Citizenship or Permanent Residency
  • Expertise in algorithm development associated with the following: artificial intelligence, algorithm design, scalable computational methods and their implementations.
  • Demonstrated experience implementing novel algorithms in one or more programming languages such as Python, C/C++, and libraries associated with training of AI models.
  • Excellent written, oral, and interpersonal communication skills required.
  • Ability to start June, July or August 2026

The salary range is: $112,880-$149,570. Salary ranges will vary and are based on several factors, including geographic location, market competitiveness and equity amongst internal employees in similar roles. Positions may also qualify for SRI's Pay for Outstanding Performance program or the annual Performance Based Compensation program. SRI also has a competitive benefits package, to view details please go to https://www.sri.com/resources/benefits/. SRI will accept applications until the position is filled.

SRI is an independent nonprofit research institute headquartered in Menlo Park, Calif., with a rich history of supporting government and industry. We create and deliver world-changing solutions for a safer, healthier, and more sustainable future. For more than 75 years, we have collaborated across technical and scientific disciplines to discover and develop groundbreaking products and technologies and bring innovations and ideas to the marketplace.

Apply