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Computer Science Neuroscience Jobs in California

Astera

Research Scientist/Engineer

Emeryville, CA · On-site

$150K - $300K/yr

PhD in Computer Science, Electrical Engineering, Neuroscience, Physics, or a related quantitative field. We are always open to considering exceptional candidates, even those with non-traditional ...

Mason-Grey Corporation

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Neuroscience Biomarkers Immunoassays Lab Technician

San Diego, CA · On-site

$34 - $38/hr

The position has a scientific focus that consists of developing biochemical biomarkers for disease ... Excellent computer proficiency e.g., MS Office (Outlook, Excel, Word), Graph pad Prism * Experience ...

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

Masters in computational neuroscience, systems neuroscience, bioengineering, bioinformatics, computer science, electrical engineering, or related fields/experience * Strong Python programming skills ...

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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 Sep 10, 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.

What is a computer science neuroscience?

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 are the key skills and qualifications needed to thrive in computer science neuroscience, 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 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 jobs does computer science neuroscience have?

Computer science neuroscience graduates can pursue careers such as computational neuroscientists, data analysts, machine learning engineers, and research scientists. These roles often involve programming, data analysis, and understanding neural systems, typically requiring skills in programming languages like Python and knowledge of neuroscience concepts.

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
Infographic showing various Computer Science Neuroscience job openings in California as of September 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $68,119 per year, or $32.7 per hour.

Research Scientist - Interpretability (1 Year Fixed Term)

Stanford, CA • On-site

Stanford University
Colleges, Universities, and Professional Schools • 11 - 50 employees
Learn more about Stanford Universityexternal

Full-time

Re-posted 14 days ago

Stanford University rating

7.9

Company rating: 7.9 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
Stanford University is a prestigious institution dedicated to advancing knowledge and research. They are seeking a Research Scientist specializing in interpretability to lead initiatives in understanding neural representations and develop methods for analyzing models related to the brain's computational processes.
Responsibilities:
• Lead research initiatives in the mechanistic interpretability of foundation models of the brain
• Develop novel theoretical frameworks and methods for understanding neural representations
• Design and guide interpretability studies that bridge artificial and biological neural networks
• Advanced techniques for circuit discovery, feature visualization, and geometric analysis of high-dimensional neural data
• Collaborate with neuroscientists to connect interpretability findings with biological principles
• Mentor junior researchers and engineers in interpretability methods
• Help shape the research agenda of the interpretability team
Qualifications:
Required:
• Ph.D. in Computer Science, Machine Learning, Computational Neuroscience, or related field plus 2+ years post-Ph.D. research experience
• At least 2+ years of practical experience in training, fine-tuning, and using multi-modal deep learning models
• Strong publication record in top-tier machine learning conferences and journals, particularly in areas related to multi-modal modeling
• Strong programming skills in Python and deep learning frameworks
• Demonstrated ability to lead research projects and mentor others
• Ability to work effectively in a collaborative, multidisciplinary environment
• Bachelor's degree and five years of relevant experience, or combination of education and relevant experience
• Expert knowledge of the principles of engineering and related natural sciences
• Demonstrated project leadership experience
• Demonstrated experience leading and/or managing technical professionals
Preferred:
• Background in theoretical neuroscience or computational neuroscience
• Experience in processing and analyzing large-scale, high-dimensional data of different sources
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and their machine learning services
• Familiarity with big data and MLOps platforms (e.g. MLflow, Weights & Biases)
• Familiarity with training, fine tuning, and quantization of LLMs or multimodal models using common techniques and frameworks (LoRA, PEFT, AWQ, GPTQ, or similar)
• Experience with large-scale distributed model training frameworks (e.g. Ray, DeepSpeed, HF Accelerate, FSDP)
Company:
Stanford University is a teaching and research university that focuses on graduate programs in law, medicine, education, and business. Founded in 1885, the company is headquartered in Stanford, USA, with a team of 10001+ employees. The company is currently Late Stage.

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