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Computational Modeling Jobs in California (NOW HIRING)

Advances in AI, data, and computational sciences are transforming drug discovery and development ... Seamless data sharing and access to models across gRED and pRED are essential to maximising these ...

$55K - $74K/yr

The successful candidate will lead project(s) focused on biomolecular dynamics within computational models of cell-like crowded environments. Potential themes of research projects include enzyme ...

They are seeking a Computational Scientist to curate and scale their library of AI tools, working ... models on the Tamarind platform. • Build and refine workflows connecting tools like structure ...

Voltai is developing world models and agents to interact with the physical world, focusing on hardware and semiconductor technologies. The role of Computational Scientist involves developing and ...

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Computational Modeling information

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$40

$54

$73

How much do computational modeling jobs pay per hour?

As of Aug 12, 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 is computational modeling?

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.

What are the key skills and qualifications needed to thrive in computational modeling?

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 computational modeler do?

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 are the most commonly searched types of Computational Modeling jobs in California? The most popular types of Computational Modeling jobs in California are:
What are popular job titles related to Computational Modeling jobs in California? For Computational Modeling jobs in California, the most frequently searched job titles are:
What job categories do people searching Computational Modeling jobs in California look for? The top searched job categories for Computational Modeling jobs in California are:
What cities in California are hiring for Computational Modeling jobs? Cities in California with the most Computational Modeling job openings:
Infographic showing various Computational Modeling job openings in California as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, 2% Temporary, and 2% 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.

Data Modeling Expert

Genentech

South San Francisco, CA

$119K - $222K/yr

Full-time

Re-posted 2 days ago


Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

11th of 86 rated pharmaceutical


Job description

A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.

Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new computational sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.

Within the CoE organisation, the Data and Digital Catalyst organisation drives the modernisation of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision-making.

Join the newly formed Computational Sciences Center of Excellence (CoE) as a Data Modeling Expert, a key role within our Data Connectivity team. You will serve as a key contributor in the data modeling, semantics, ontologies, and standards space, ensuring our data are FAIR (Findable, Accessible, Interoperable, and Reusable), high-quality, and trustable; enabling scientists, computational tools, and AI algorithms from across our Research and Early Development (REDs) organizations to effectively leverage and utilize these data assets.

The Opportunity:

  • Act as a key subject matter expert on data modeling, ontologies, semantics, and standards efforts, interfacing closely with business/scientific stakeholders and informatics/engineering colleagues.

  • Translate complex scientific requirements from various parts of R&D into clear draft data models that can be leveraged by the wider FAIR data modeling team.

  • Independently contribute to and on occasion drive the development of data models and standards and/or information architecture solutions potentially leading function-level efforts related to FAIR data processes relating to data modeling, standards development and/or information architecture.

  • Independently contribute to and on occasion drive strategies that ensure pan-RED Roche data is ready for AI/ML (AI data readiness), potentially leading tactical efforts around AI/data policies in partnership with other colleagues in the broader team.

  • Independently contributes to and on occasion drive efforts that enable data quality tracking, potentially leading strategies that allow us to track and measure data quality (e.g. tracking how well annotated xRED data is).

  • Foster a OneRoche data-centric mindset within the team, advocating for data standards, governance, and FAIR principles.

  • Contribute to the development, implementation and improvement of Data Governance strategies as it relates to data standards.

Who You Are:

  • You hold a PHD + 1 years, MS + 3-5 years, and a BS + 4-7 years of experience in Data Governance, Data Standards, Data Modeling, Ontology Development, or related fields.

  • You are proficient in one or more critical relevant scientific or data domains, and are able to provide leadership to initiatives based on that knowledge.

  • You are an exceptional communicator with strong networking capabilities, able to build relationships and lead effectively in a matrixed organization.

  • You have experience working within a Research & Development organization and have a deep understanding of its processes and data handling activities.

Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.

Relocation benefits are not available for this job posting.

The expected salary range for this position based on the primary location of California is $119,800 - $222,400. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

#LI-JD1

#ComputationCoE

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.


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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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