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Computational Data Analytics Jobs in California (NOW HIRING)

Alljoined

Computational Neuroscientist

San Francisco, CA · On-site

$120K - $160K/yr

About the Role As a Computational Neuroscientist , you will play a pivotal role in advancing our ... analysis of functional brain imaging data (EEG, fMRI). * Proficiency in Python (MNE, Numpy ...

Pfizer

Senior Computational Chemist

La Jolla, CA · On-site +1

$106K - $176K/yr

... data analytics and modeling. * Set expectations for data quality and fitness-for-purpose in ... Ph.D. in Computational Chemistry, Cheminformatics, Computer Science, or related fields; or M.S ...

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 ... Analyze multi-modal omics data. Apply cutting-edge techniques, including scRNAseq, spatial ...

Pfizer, Inc.

Senior Computational Chemist

La Jolla, CA · On-site

$106K - $176K/yr

... data analytics and modeling. * Set expectations for data quality and fitness-for-purpose in ... Ph.D. in Computational Chemistry, Cheminformatics, Computer Science, or related fields; or M.S ...

Fuse

Computational Physicist

San Leandro, CA · On-site

Analyze and interpret large data sets, extracting meaningful insights and presenting findings in ... Stay up to date with advancements in computational techniques, programming languages, and physical ...

MyOme

Scientist, Computational Biology

Menlo Park, CA · On-site

$130K - $150K/yr

Analyze complex human molecular profiling data, drawing from modalities such as plasma proteomics ... Design and execute fast computational experiments to determine whether specific multi-omic panels ...

Onebridge

Computational Biology MLOps Engineer

San Diego, CA · On-site

$118K - $139K/yr

... AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the ... Computational Biology MLOps Engineer | About You As a Computational Biology MLOps Engineer, you are ...

Onebridge

Computational Biology MLOps Engineer

San Diego, CA · On-site +1

$118K - $139K/yr

... AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the ... Computational Biology MLOps Engineer | About You As a Computational Biology MLOps Engineer, you are ...

Onebridge

Computational Biology MLOps Engineer

San Diego, CA · On-site

$118K - $139K/yr

... AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the ... Computational Biology MLOps Engineer | About You As a Computational Biology MLOps Engineer, you are ...

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All JobsComputational Data Analytics JobsComputational Data Analytics Jobs in California

Computational Data Analytics information

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$24

$54

$93

How much do computational data analytics jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for computational data analytics in California is $54.03, according to ZipRecruiter salary data. Most workers in this role earn between $43.41 and $61.20 per hour, depending on experience, location, and employer.

How does a computational data analyst typically collaborate with cross-functional teams to deliver data-driven insights?

Computational Data Analysts frequently work alongside professionals from various departments, such as engineering, product management, and business strategy. They gather requirements, clarify analysis goals, and present findings in clear, actionable terms. Regular meetings and collaborative tools are often used to ensure alignment, while analysts translate complex data patterns into practical recommendations that support decision-making across the organization. This teamwork not only enhances the impact of their analyses but also provides valuable opportunities for learning and professional growth.

What are the key skills and qualifications needed to thrive as a computational data analytics professional, and why are they important?

To thrive as a Computational Data Analytics professional, you need strong quantitative skills, proficiency in statistics, and expertise in data manipulation, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, experience with data visualization tools (e.g., Tableau, Power BI), and knowledge of machine learning frameworks are commonly required. Excellent problem-solving abilities, effective communication, and the capacity to work collaboratively make candidates stand out. These skills enable professionals to extract actionable insights from complex datasets, drive informed decision-making, and add significant value to organizations.

What is the difference between Computational Data Analytics vs Data Scientist?

AspectComputational Data AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's or Master's in Data Science, Computer Science, Statistics, or related fields
Work EnvironmentData analysis teams, research labs, tech companiesData analysis teams, research labs, tech companies
Employer & Industry UsageTech, finance, healthcare, academiaTech, finance, healthcare, academia
Common Search & ComparisonYesYes

Computational Data Analytics focuses on developing algorithms and computational methods to analyze large datasets, often emphasizing programming and algorithm design. Data Scientists combine statistical analysis, machine learning, and domain expertise to interpret data and generate insights. While both roles require similar educational backgrounds and work environments, Computational Data Analytics leans more toward algorithm development, whereas Data Scientists focus on modeling and interpretation.

What is computational data analytics?

Computational data analytics is the process of using computational methods, algorithms, and systems to analyze large and complex datasets. This field combines principles from computer science, mathematics, and statistics to extract meaningful insights and patterns from data. Professionals in computational data analytics use tools such as machine learning, data mining, and statistical modeling to solve real-world problems in various industries. Their work often involves programming, data visualization, and working with big data platforms.
What are popular job titles related to Computational Data Analytics jobs in California? For Computational Data Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Computational Data Analytics jobs in California look for? The top searched job categories for Computational Data Analytics jobs in California are:
Computational Data Analytics jobs near you
Infographic showing various Computational Data Analytics job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $112,382 per year, or $54 per hour.

Computational Neuroscientist

Alljoined

San Francisco, CA • On-site

$120K - $160K/yr

Full-time

Medical

Re-posted 7 days ago

Job description

About Alljoined
Alljoined is creating a future where humans are fully understood and augmented by technology. Our work solves the communication bottleneck between humans and computers by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale EEG datasets to decode multimedia input, eventually moving to internal thought. We are state-of-the art in capabilities and are fully vertically integrated. Our goal is to develop a general consumer interface to completely transform how we can live our lives.
We are actively growing our world-class team of researchers to build the next interface to improve individual lives as well as the well-being of society as a whole.
About the Role
As a Computational Neuroscientist, you will play a pivotal role in advancing our research. Using computational and neuroimaging techniques, you will design and iterate on stimulus paradigms at scale in collaboration with our research team, and perform comprehensive analyses on collected date to uncover insights into various paradigms and architectures. You will work with a team of hands-on research coordinators who will handle much of the collection work to get data at scale, and collaborate with other engineers and researchers, to design experiments to optimize next-generation neural decoding approaches.
About You
  • PhD/postdoc in neuroscience or a related field.
  • Extensive experience in designing and executing neuroscience studies, including the analysis of functional brain imaging data (EEG, fMRI).
  • Proficiency in Python (MNE, Numpy, PyschoPy) and associated machine learning frameworks (PyTorch, Sci-Py, Scikit-Learn).
  • Extensive experience using advanced computational, statistical, and modeling skills to analyze and interpret neuroimaging data.
  • A strong grasp of psychophysics and human behavior.
  • Demonstrated ability to conduct independent research and collaborate in an interdisciplinary setting.

Compensation Range
$140,000 - $180,000+ /year
While this represents our expected range based on market data, final compensation will be determined based on your specific skills and experience and may be outside this range.
Benefits
  • Competitive equity compensation at a seed stage startup
  • Options for housing support
  • Visa sponsorship
  • Health insurance

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