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Computational Modeling Jobs in California (NOW HIRING)

Toyon

Computational Multiphysics Engineer

Goleta, CA

$125K - $195K/yr

We are seeking a Computational Multiphysics Engineer with expertise in numerical methods and ... Use commercial and proprietary modeling tools to simulate and optimize antenna systems and RF ...

Fuse

Computational Physicist

San Leandro, CA · On-site

Model impedance matching in Marx generators and analyze energy coupling in plasma loads ... Develop custom computational tools and optimize existing codes for high-performance computing (HPC)

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How much do computational modeling jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for computational modeling 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 some examples of computational models?

Computational modeling in the context of computational modeling jobs involves creating mathematical or algorithmic representations of real-world systems. Examples include neural networks for machine learning, agent-based models for simulating social behaviors, and finite element models for engineering and physical systems. These models are used across fields such as data analysis, simulation, and predictive analytics, often requiring proficiency with programming languages like Python or MATLAB.

What is a Computational Modeling job?

A Computational Modeling job involves developing and using mathematical models, simulations, and algorithms to analyze complex systems across various fields, such as engineering, physics, biology, and finance. Professionals in this role apply computational techniques to study real-world phenomena, predict outcomes, and optimize processes. They often work with programming languages, statistical methods, and high-performance computing to create accurate and efficient models.

Is 3D modeling a high paying job?

3D modeling is a specialized skill often used in fields like animation, gaming, and product design. Salaries vary based on experience, industry, and location, but experienced 3D modelers with advanced skills can earn competitive wages, especially in high-demand sectors or with proficiency in tools like Blender or Maya.

Do computational biologists get paid well?

Computational biologists typically earn competitive salaries that reflect their specialized skills in data analysis, programming, and biological research. Salaries vary based on experience, education, and location, but they are generally above average compared to many other scientific roles. Advanced expertise in tools like Python, R, and machine learning can further increase earning potential.

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

To thrive in computational modeling, a strong background in mathematics, computer science, and domain-specific knowledge (such as engineering, physics, or biology) is essential, often supported by at least a bachelor's or master's degree in a related field. Familiarity with programming languages like Python, MATLAB, or R, as well as experience with simulation software and data analysis tools, is typically required. Strong problem-solving, analytical thinking, and effective communication skills set outstanding candidates apart. These abilities enable professionals to build accurate models, collaborate successfully with interdisciplinary teams, and translate complex results into actionable insights.

What does a typical day look like for someone working in computational modeling?

A typical day for a computational modeling professional often involves developing and refining mathematical or computer-based models, running simulations, and analyzing large datasets to draw meaningful conclusions. You’ll collaborate closely with domain experts, engineers, and researchers to ensure models accurately reflect real-world processes. The role may also involve presenting findings to stakeholders, troubleshooting code or software issues, and keeping up with new modeling techniques and industry advancements. This dynamic environment requires balancing independent problem-solving with teamwork and communication.

What do computational models do?

Computational modeling involves creating computer-based simulations to analyze and predict complex systems or phenomena. Computational modelers develop algorithms and use programming tools to test hypotheses, optimize processes, and support decision-making across fields like science, engineering, and data analysis.
What are the most commonly searched types of Computational Modeling jobs in California? The most popular types of Computational Modeling jobs in California are:
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Computational Modeling jobs near you

Principal Scientist, Computational Chemistry

Deep Apple Therapeutics

South San Francisco, CA • On-site, Remote

Full-time

Posted 3 days ago

Job description

About Us Deep Apple Therapeutics, part of the Apple Tree Partners (ATP) portfolio, is a Bay Area biotechnology company focused on accelerating drug discovery by integrating molecular docking and structural biology with advanced computer-aided drug design (CADD) technologies. Our state-of-the-art platform combines advanced computational modeling, large-scale compound docking, cryo-EM-based structural biology, and deep learning to drive the efficient identification and development of novel therapeutics.

Role Description We are seeking an experienced Computational Scientist to support and advance our computational initiatives in virtual hit discovery and traditional CADD for our portfolio programs. You will join a collaborative team of computational chemists, data scientists, machine learning engineers and medicinal chemists to integrate deep learning models into our drug discovery pipeline. This role will enhance our virtual screening capabilities, optimize molecular design, and facilitate cross-functional collaboration to translate computational insights into viable therapeutic leads. The ideal candidate will bring more than five years of expertise in computational modeling and proven support of drug discovery teams.

Key Responsibilities

  • Lead the implementation of virtual hit discovery, including ligand-based and structure-based modeling, on a program-by-program basis.
  • Deploy deep learning models, including generative AI for molecular design, to predict molecular properties, binding affinities, and ADMET profiles for portfolio programs.
  • Collaborate closely with biology, medicinal chemistry, and machine learning teams to validate computational predictions through iterative feedback loops to accelerate pipeline programs.
  • Drive strategic initiatives, including partnerships with academic institutions, technology companies, and CROs, to strengthen our virtual hit discovery capabilities.
  • Stay current with emerging technologies in computational chemistry and deep learning, incorporating them into our pipeline to maintain a competitive edge.
  • Manage project timelines, budgets, and resources while ensuring compliance with data integrity and intellectual property standards.

Required Qualifications and Skills

  • Ph.D. in Computational Chemistry, Cheminformatics, Bioinformatics, or a related field.
  • Minimum of 5 years of professional experience in computational modeling within the biotechnology or pharmaceutical industry, including at least 1-2 years in a computational program leadership role.
  • Strong track record in virtual hit discovery and/or CADD, with demonstrated success leading to IND-ready assets.
  • Proficiency in programming languages such as Python, with extensive experience in data analysis, machine learning pipelines, and high-performance computing.
  • Excellent communication skills, with the proven ability to translate complex technical concepts to non-expert audiences.

At Deep Apple, we value diversity, encourage professional growth, and provide competitive benefits and compensation.
Deep Apple is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Employment Type: FULL_TIME

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