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Computer Science Neuroscience Jobs in California

Quantiply Corporation

Data Scientist

San Jose, CA · On-site

PhD in machine learning, statistics, engineering, mathematics, computer science, neuroscience, bioinformatics, game theory or other technical field. * Strong knowledge of mathematics. * Strong ...

Quantiply Corporation

Data Scientist

San Jose, CA

PhD in machine learning, statistics, engineering, mathematics, computer science, neuroscience, bioinformatics, game theory or other technical field. * Strong knowledge of mathematics. * Strong ...

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All JobsComputer Science Neuroscience JobsComputer Science Neuroscience Jobs in California

Computer Science Neuroscience information

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$20.1K

$68.1K

$143.9K

How much do computer science neuroscience jobs pay per year?

As of Jul 7, 2026, the average yearly pay for computer science neuroscience in California is $68,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,596.00 and $93,026.00 per year, depending on experience, location, and employer.

How is computer science used in neuroscience?

Computer science in neuroscience involves developing algorithms, computational models, and data analysis tools to understand brain function and neural systems. It includes techniques like machine learning, data mining, and simulation to analyze large neural datasets and create models of neural activity, aiding in research and medical applications.

Is computer science needed for neuroscience?

For a career in neuroscience, especially roles involving computational neuroscience or neuroinformatics, computer science skills are highly valuable. Knowledge of programming, data analysis, and algorithms is often essential for modeling neural systems and analyzing large datasets. Many neuroscience positions require familiarity with programming languages like Python or MATLAB and understanding of computational methods.

What is a Computer Science Neuroscience job?

A Computer Science Neuroscience job involves applying computational techniques to understand the brain and develop neurotechnology. Professionals in this field work on brain-computer interfaces, machine learning models for neuroscience, and neural data analysis. They may contribute to fields like artificial intelligence, cognitive computing, medical imaging, and neuroprosthetics. This interdisciplinary role is common in research labs, healthcare, and tech companies focused on AI and neuroscience applications.

What jobs can I get with just a neuroscience degree?

A neuroscience degree can qualify you for roles such as research assistant, clinical research coordinator, or neurotechnology technician, often requiring knowledge of laboratory techniques, data analysis, and programming tools like MATLAB or Python. These positions are common in healthcare, research institutions, and biotech companies, and may require additional certifications or training depending on the role. Entry-level jobs typically involve supporting research projects, data collection, or assisting with experiments in clinical or laboratory settings.

What are the key skills and qualifications needed to thrive in the Computer Science Neuroscience position, and why are they important?

To thrive in a Computer Science Neuroscience role, you need a strong background in both programming (such as Python, MATLAB, or R) and neuroscience concepts, often supported by an advanced degree in a relevant field. Experience with data analysis tools, neuroimaging software (like fMRI or EEG platforms), and machine learning libraries is highly valued. Critical thinking, problem-solving abilities, and strong interdisciplinary communication are important soft skills for success in this space. These competencies enable professionals to bridge the gap between technology and brain science, driving innovation in research and applied settings.

What can I do with a computational neuroscience degree?

A computational neuroscience degree prepares individuals for roles such as research scientist, data analyst, or software developer in neuroscience, artificial intelligence, or healthcare industries. Graduates often work with programming languages like Python or MATLAB, analyze neural data, develop models of brain function, or contribute to neurotechnology development.

What types of projects or research might I work on in a Computer Science Neuroscience role?

In a Computer Science Neuroscience position, you could be involved in projects such as developing algorithms for analyzing neural data, implementing machine learning models to predict cognitive states, or building software tools for brain imaging analysis. Many roles also involve collaborating closely with neuroscientists, physicians, and engineers to design experiments and interpret complex datasets. The work is often highly interdisciplinary, blending computational innovation with fundamental scientific discovery. Depending on the organization, you may participate in academic research, clinical studies, or the development of neurotechnology products. This makes for a dynamic work environment with opportunities to contribute to cutting-edge advancements in brain science.

What are popular job titles related to Computer Science Neuroscience jobs in California? For Computer Science Neuroscience jobs in California, the most frequently searched job titles are:
What job categories do people searching Computer Science Neuroscience jobs in California look for? The top searched job categories for Computer Science Neuroscience jobs in California are:
What cities in California are hiring for Computer Science Neuroscience jobs? Cities in California with the most Computer Science Neuroscience job openings:
Computer Science Neuroscience jobs near you
Data Scientist

Data Scientist

Quantiply Corporation

San Jose, CA • On-site

Full-time

Re-posted 24 days ago

Job description

Company Description
Did you know that Money Laundering is a primary enabler of criminal activity like drug trafficking, smuggling, terrorism, and corruption around the world with an estimated $2.3 Trillion laundered annually? Criminals are becoming more and more sophisticated in rapidly innovating new ways to launder money and current methods of detecting money laundering are antiquated and ineffective. Quantiply's Sensemaker application suite and platform solutions use AI and machine learning algorithms to identify money laundering and other criminal activities and automatically recommend mitigation strategies and actions. If you are looking for an opportunity to work on complex business problems using the latest AI and Machine Learning technologies, work with best and brightest in crafting innovative solutions while making a positive impact on society, Quantiply is the place for you.
Job Description
In this role, you will be part of a brand new, trend setting Cognitive Intelligence team which is applying Machine learning and AI to solve complex, business critical problems in the financial services industries.
This position within the Cognitive Intelligence team presents a unique and rare opportunity to get in on the ground floor within a fast-growing business and help shape the technology, product, and business. As a real-time transactional intelligence service, our solutions have to be scalable, secure, efficient, and extremely fault-tolerant.
A successful candidate will bring: deep technical and software expertise; ability to define visionary, ground breaking products; desire to have an industry-wide impact; and an ability to work within a fast moving, startup environment to rapidly deliver services that drive broad business impact.
Responsibilities:
  • Apply your expertise in designing, implementing and validating unsupervised deep learning, reinforcement learning and bayesian models.
  • Present exploratory findings to both, technical and management teams, verbally and in writing.
  • Partner with Product and Engineering teams to explore new opportunities.
  • Engage in collaborating across team members to meet research and product goals.
  • Influence product features and product roadmap through exploratory analysis.

Qualifications
Minimum qualifications:
  • PhD in machine learning, statistics, engineering, mathematics, computer science, neuroscience, bioinformatics, game theory or other technical field.
  • Strong knowledge of mathematics.
  • Strong knowledge of machine learning and statistics.
  • Strong knowledge of designing algorithms.
  • Some experience in Python and Tensorflow.

Preferred qualifications:
  • Strong knowledge of deep learning.
  • Strong knowledge of reinforcement learning.
  • Strong experience in Tensorflow or similar frameworks.
  • Working experience in C++.

Additional Information
All your information will be kept confidential according to EEO guidelines.

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