1

Computational Science Jobs in California (NOW HIRING)

PhD in computational physics, applied mathematics, computational engineering, or a closely related ... Solid understanding of AI for Science methodology: how to design datasets from simulations, handle ...

PhD in computational physics, applied mathematics, computational engineering, or a closely related ... Solid understanding of AI for Science methodology: how to design datasets from simulations, handle ...

Computational Biologist

San Francisco, CA · On-site

$125K - $185K/yr

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 ...

Showing results 21-40

Computational Science information

See California salary details

$55.8K

$82K

$96.7K

How much do computational science jobs pay per year?

As of Aug 19, 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:

Infographic showing various Computational Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $82,020 per year, or $39.4 per hour.

Scientific Director, Computational Chemistry

Neurocrine Biosciences

San Diego, CA • On-site

$218.20 - $298/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago


Job description

About the Role

Develops and leads innovative computational strategies that accelerate drug discovery across a Research and Development portfolio from early discovery through clinical candidate nomination. Integrates computational approaches including molecular modeling, cheminformatics, molecular dynamics, free energy perturbation, and AI/ML‑driven drug design to support data‑driven decision‑making and the optimization of therapeutics across multiple modalities, including small molecules and biologics. Working within multidisciplinary teams of medicinal chemists, structural biologists, pharmacologists, data scientists, and ADME/Tox representatives, provides molecular‑level insight and computational expertise to inform compound design, potency and selectivity optimization, and de‑risk design hypotheses. Represents Computational Chemistry across Research and Development functions and seamlessly integrates internal and external technologies, collaborations, and resources to advance Neurocrine’s drug discovery strategy. Supports senior leadership through long‑term strategic planning, technology innovation, resource management, and the continuous evolution of computational capabilities to ensure effective achievement of scientific and operational objectives. Serves as a mentor and scientific leader, fostering the development of junior scientists and promoting excellence within the computational chemistry function.

Your Contributions
  • Develops, implements, and enforces scientifically sound computational chemistry strategies that support drug discovery programs from target validation through lead optimization and candidate selection
  • Leads the application of molecular modeling, structure‑based drug design, ligand‑based design, and AI/ML approaches to enable compound design and optimization
  • Partners closely with medicinal chemistry, structural biology, pharmacology, and data science teams to integrate computational insights into project strategies and decision‑making
  • Evaluates, interprets, and communicates computational results, proactively providing strategic direction to project teams and senior management on compound design and program progression
  • Drives innovation through the evaluation and implementation of emerging computational technologies, including generative chemistry, predictive modeling, and large‑scale data analysis
  • Establishes and oversees computational workflows, best practices, and reproducible methods to support high‑quality and efficient research
  • Represents Computational Chemistry across R&D teams and contributes to program strategy, portfolio discussions, and governance forums
  • Provides strategic oversight for external collaborations, including academic partnerships, technology vendors, and contract research organizations (CROs)
  • Contributes to intellectual property strategy, scientific publications, and external presentations
  • Participates in selecting, developing, and evaluating personnel to ensure efficient operation and growth of the team
  • Maintains current knowledge of industry trends, emerging technologies, and scientific advancements in computational chemistry and drug discovery
  • Other tasks as assigned
Requirements
  • Bachelors in chemistry or related field AND 12+ years of experience applying computational chemistry in a drug discovery setting
  • Masters in computational chemistry or related field AND 10+ years of experience applying computational chemistry in a drug discovery setting
  • PhD in computational chemistry, organic chemistry or a related field AND 8+ years of experience applying computational chemistry in a drug discovery setting
  • Proven leadership experience, including managing and developing scientific teams
  • Applies understanding of the team's place in the larger organization, and discusses changes, progress, and issues as they relate to other areas
  • Ability to meet multiple deadlines across a variety of projects/programs, with a high degree of accuracy and efficiency
  • Deep expertise in molecular modeling, structure‑based drug design, and cheminformatics methods
  • Demonstrated experience applying computational approaches to small molecules and/or emerging modalities
  • Experience integrating computational chemistry into multidisciplinary drug discovery teams
  • Strong track record of scientific achievement, including publications and/or patents
  • Experience with AI/ML approaches in drug discovery, including predictive modeling and generative design
  • Deep expertise in ligand and structure‑based drug design related to small molecules as well as other modalities including peptides, biologics and targeted protein degradation
  • Familiarity with CNS drug discovery or neuroscience‑focused research
  • Experience working with cloud computing and high‑performance computing environments including programming computational workflows in Knime or equivalent
  • Expertise with industry‑standard computational chemistry platforms (e.g., Schrödinger, OpenEye, MOE, or similar)
  • Demonstrated ability to influence strategy across multiple functions and organizational levels
  • Demonstrates strategy development and implementation within areas of responsibility
  • Possesses expert knowledge of own function and broad knowledge of multiple functions and impact on business
  • Proven leadership skills, including influencing across many levels of the organization
  • Maintains broad knowledge of scientific principles and theories and possesses intellectual mastery of multiple scientific areas
Compensation and Benefits
  • The annual base salary we reasonably expect to pay is $218,200.00–$298,000.00. Individual pay decisions depend on various factors, such as primary work location, complexity and responsibility of role, job duties/requirements, and relevant experience and skills.
  • In addition, this position offers an annual bonus with a target of 35% of the earned base salary and eligibility to participate in our equity based long‑term incentive program.
  • Benefits offered include a retirement savings plan (with company match), paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits including medical, prescription drug, dental and vision coverage in accordance with the terms and conditions of the applicable plans.
EEO Statement

Neurocrine Biosciences is an EEO/Disability/Vets employer. We are committed to building a workplace of belonging, respect, and empowerment, and we recognize there are a variety of ways to meet our requirements. We are looking for the best candidate for the job and encourage you to apply even if your experience or qualifications don’t line up to exactly what we have outlined in the job description.

#J-18808-Ljbffr