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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 ...

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Computational Science information

See California salary details

$55.8K

$82K

$96.7K

How much do computational science jobs pay per year?

As of Sep 9, 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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 61% Full Time, 35% Part Time, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $82,020 per year, or $39.4 per hour.

Computational Genomics Senior Research Scientist

San Diego, CA • On-site

Vertex Pharmaceuticals Inc (US)
Biotechnology Research and Development • 1 - 5K employees

$129K - $194K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Vertex Pharmaceuticals rating

6.5

Company rating: 6.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

78th of 86 rated pharmaceutical


Job description

Job Description

We are seeking a Senior Research Scientist in Computational Genomics to join Vertex's Data and Computational Sciences organization at our San Diego research site. In this role, you will work at the intersection of human genetics, genomics, and modern computational approaches, including emerging AI technologies, to accelerate the development of transformative therapies for serious human diseases. Working closely with cross-functional disease project teams, you will help shape the development of novel therapies in areas including lung diseases and pain by designing human genetic and genomics studies and translating complex datasets into insights that inform program strategy, target evaluation, biomarker development, and mechanistic understanding. You will take ownership of analyses from biological question to actionable recommendation and help guide the application of genomics and human genetics across discovery programs. Success in this role will require scientific independence, sound judgment, and effective collaboration across disease biology, experimental genomics, translational research, computational sciences, and project leadership. This position is based in San Diego, CA and is eligible for on‑site or hybrid work, with an expectation of at least three days per week on‑site.

Key Responsibilities
  • Partner closely with cross-functional project teams to identify critical scientific questions that can be addressed through human genetics, genomics, sequencing, and computational analyses.
  • Design, execute, and interpret human genetic, genomic, and multi-omic studies that advance target discovery, target validation, biomarker development, and mechanistic understanding.
  • Apply and develop computational and statistical approaches to analyze complex biological datasets, integrating internal data with publicly available resources to generate actionable insights.
  • Take ownership of analyses from biological question through recommendation, clearly communicating conclusions, limitations, and proposed next steps to diverse scientific audiences.
  • Help shape genomics strategies across discovery programs, ensuring that study design, analysis plans, and interpretation are scientifically rigorous and aligned with project objectives.
  • Collaborate with computational and experimental scientists to identify opportunities where emerging computational approaches, including machine learning and AI technologies, can accelerate biological discovery and enhance the analysis and interpretation of genomic and human genetic data.
  • Contribute to scientific publications, internal reports, regulatory submissions, and other communications that support research and development activities.
Knowledge and Skills
  • Deep understanding of human genetics, genomics, and their application to disease biology, target discovery, and therapeutic development.
  • Strong scientific judgment and the ability to translate complex datasets into clear conclusions, recommendations, and next steps.
  • Ability to independently drive scientific questions from study design through interpretation and influence project decision-making.
  • Excellent communication skills, including the ability to convey complex scientific concepts to diverse audiences.
  • Interest in evaluating and applying emerging computational approaches, including machine learning and AI technologies, where they can meaningfully advance biological discovery.
  • A team-oriented growth mindset that welcomes feedback from others and supports other team members; a positive attitude that enthusiastically tackles and overcomes challenges.
Minimum Qualifications

PhD in computational biology, bioinformatics, genomics, human genetics, systems biology, bioengineering, or a related field, with 3+ years of relevant post-doctoral or industry experience; or Master's degree in a related field with 8+ years of relevant industry experience.

Demonstrated excellence in the analysis, visualization, and interpretation of human genetics, genomic, and next-generation sequencing (NGS) data.

Experience applying computational methods and bioinformatics tools to large-scale biological datasets.

Proficiency in programming (R, Python), Unix/Linux environments, and high-performance computing systems.

Solid foundation in statistics and genetics, including the role of human genetic variation in disease biology.

#LI-KM1 #LI-Hybrid

Pay Range

$129,900 - $194,900

Disclosure Statement: The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.

At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.

Flex Designation: Hybrid-Eligible Or On-Site EligibleFlex Eligibility Status

In this Hybrid-Eligible role, you can choose to be designated as:

  • Hybrid: work remotely up to two days per week;
  • On‑Site: work five days per week on‑site with ad hoc flexibility.

Note: The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time.

#LI-Hybrid

Company Information

Vertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com.

Help Us Achieve Our Mission Vertex is a global biotechnology company that invests in scientific innovation to create transformative medicines for people with serious diseases. The company has approved medicines that treat the underlying causes of multiple chronic, life-shortening genetic diseases — cystic fibrosis, sickle cell disease and transfusion-dependent beta thalassemia — and continues to advance clinical and research programs in these diseases. Vertex also has a robust clinical pipeline of investigational therapies across a range of modalities in other serious diseases where it has deep insight into causal human biology, including APOL1-mediated kidney disease, acute and neuropathic pain, type 1 diabetes, myotonic dystrophy type 1 and alpha-1 antitrypsin deficiency.

Founded in 1989 in Cambridge, Mass., Vertex's global headquarters is now located in Boston's Innovation District and its international headquarters is in London. Additionally, the company has research and development sites and commercial offices in North America, Europe, Australia, Latin America and the Middle East. Vertex is consistently recognized as one of the industry's top places to work, including 14 consecutive years on Science magazine's Top Employers list and one of Fortune’s 100 Best Companies to Work For.

For company updates and to learn more about Vertex's history of innovation, visit www.vrtx.com or follow us on Facebook, Twitter/X , LinkedIn, YouTube and Instagram. The diversity and authenticity of our people is part of what makes Vertex unique, and we recognize that each employee brings diverse perspectives and strengths. By embracing those strengths and celebrating differences, we are fostering an inclusive culture where each of us can bring our authentic selves to work, inspire innovation together, and change people’s lives. Our vision is clear: to be the place where an authentic, diverse mix of talent want to come, to stay, and do their best work.

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