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Computational Science Jobs in Berkeley, CA (NOW HIRING)

Genesis10

Computational Scientist

South San Francisco, CA · On-site

$65.18/hr

PhD degree in quantitative field (e.g., Computational Biology, Bioinformatics, Computer Science, Statistics, Mathematics) or in the physical or life sciences (e.g., Chemistry, Biology) with a strong ...

MyOme

Scientist, Computational Biology

Menlo Park, CA

$130K - $150K/yr

We are seeking a driven, analytical Scientist, Computational Biology to join our early-stage ... We believe that diverse perspectives drive better science and better patient outcomes. We are an ...

NewLimit

Computational Biologist

South San Francisco, CA · On-site

$150K - $200K/yr

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 ...

NewLimit

Computational Biologist

South San Francisco, CA

$150K - $200K/yr

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 ...

Valius Sciences

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 ...

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All JobsComputational Science JobsComputational Science Jobs in Berkeley, CA

Computational Science information

See Berkeley, CA salary details

$68.9K

$101.3K

$119.5K

How much do computational science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for computational science in Berkeley, CA is $101,318.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $114,000.00 per year, depending on experience, location, and employer.

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 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 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.

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. Proficiency in tools like Python, MATLAB, or high-performance computing environments is common in these roles.

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 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 popular job titles related to Computational Science jobs in Berkeley, CA? For Computational Science jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Computational Science jobs in Berkeley, CA look for? The top searched job categories for Computational Science jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Computational Science jobs? Cities near Berkeley, CA with the most Computational Science job openings:
Computational Science jobs near you
Infographic showing various Computational Science job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 23% Part Time, and 3% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $101,318 per year, or $48.7 per hour.

Principal Scientist (Computational Chemistry)

Genentech

South San Francisco, CA • On-site, Remote

$144K - $269K/yr

Full-time

Re-posted 5 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 Genentech!

The Opportunity

We are seeking an exceptional computational chemist to apply cutting-edge computational science, with an emphasis on induced proximity small molecule discovery. The ideal candidate will possess expertise in computational chemistry, collaborating within project teams to discover and advance induced proximity small molecules into clinical candidates. This is a critical role aimed at accelerating our discovery pipeline, optimizing lead candidates, and applying state of the art computational methods.

Key Responsibilities:

  • Advanced Modeling & Prediction: Lead the development and implementation of advanced computational methods, including molecular dynamics and affinity prediction, for ternary complex modeling, ligand discovery, validation and optimization.

  • AI/ML for Drug Discovery: In collaboration with our internal AI for Drug Discovery team, apply advanced AI/ML technologies, including protein-ligand co-folding, generative and active learning models.

  • Provide strategic direction and present scientific findings to internal and external stakeholders and project teams, including wet-lab scientists.

  • Cross-Functional Collaboration: Work closely with Structural Biology, Biochemical Pharmacology, DMPK, Safety/Investigational Toxicity, and other groups. Foster a collaborative environment within project teams to ensure computationally informed and driven decisions. Collaborate with computational scientists across the Drug Discovery organization and in our AI For Drug Discovery group.

Who You Are

  • Ph.D. in Computational Chemistry, Biophysics, or a related field.

  • 0-6 years of relevant post-Ph.D. experience in industry or a research organization.

  • Proven track record of induced proximity discovery or design projects.

  • Deep knowledge of computational chemistry principles and general molecular modeling techniques (e.g., docking, molecular simulation and dynamics, quantum mechanics, ligand- and structure-based design).

  • Proficient in Python or other relevant programming languages.

  • Experience with cloud computing platforms and/or high-performance computing (HPC) environments.

  • Excellent communication and presentation skills, with the ability to convey complex technical concepts to diverse audiences.

  • Ability to work productively and collaboratively in an interdisciplinary fast-paced team environment.

Preferred

  • Familiarity with computational software such as MOE, Schrodinger, OpenEye, and/or Rosetta.

  • Experience in AI/ML applications in the induced proximity space.

  • A strong track record of publication in leading scientific journals and presentations at major conferences.

Relocation benefits are available for this job posting.

The expected salary range for this position based on the primary location of South San Francisco, CA is $144,900 - 269,100. 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

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.

What Genentech employees say

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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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