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Neuroscientist Jobs in California (NOW HIRING)

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 ...

Astera Institute Experimental Neuroscientist The Astera Institute is seeking an exceptional experimental neuroscientist to develop and execute experiments using in vitro brain slice prep. This role ...

Position Summary The Astera Institute is seeking an exceptional experimental neuroscientist to develop and execute experiments using in vitro brain slice prep. This role will focus on functional ...

About the Role TBC is seeking a Computational Neuroscientist to help derive novel algorithms and model improvements for AI from understanding the dynamics of real neurons. You will work across ...

About the role As a human neuroscientist at Nudge, you will: * Design, execute, and analyze ultrasound neuromodulation studies in humans * Integrate data from observational, behavioral, neuroimaging ...

Staff Neuroscientist

Santa Clara, CA · On-site

$140 - $230/hr

About Precision Neuroscience Precision Neuroscience is building a next-generation brain-computer interface (BCI) to heal and empower millions of people living with neurological conditions. Our first ...

About the role As a human neuroscientist at Nudge, you will: * Design, execute, and analyze ultrasound neuromodulation studies in humans * Integrate data from observational, behavioral, neuroimaging ...

RN, Neuroscience ICU

Fresno, CA · On-site

$48.16 - $66.92/hr

Our Neuroscience team at Community Regional was one of just 11 neuroscience intensive care units in the U.S. to earn a Beacon Gold Award of Excellence. As part of our Level I Trauma Center, the ...

RN, Neuroscience ICU

Fresno, CA · On-site

$90 - $130/hr

Our Neuroscience team at Community Regional was one of just 11 neuroscience intensive care units in the U.S. to earn a Beacon Gold Award of Excellence. As part of our Level I Trauma Center, the ...

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Neuroscientist information

What is a neuroscientist?

As a neuroscientist, your job is to study the human nervous system. Typical duties include developing studies, researching neurological responses, analyzing results, and writing detailed reports. Some neuroscientists specialize in a specific component of the nervous system, such as the brain or spinal cord, while others take a more generalized approach. Positions are available at research universities, government agencies, hospitals, and public companies involved with pharmaceutical research. Neuroscientists work in both offices and laboratories. They often work as part of a multi-function research team.

What does a neuroscientist do?

A neuroscientist studies the structure and function of the nervous system, including the brain, spinal cord, and nerves. Their work may involve conducting experiments, analyzing data, and using advanced technology to understand how the nervous system influences behavior, cognition, and disease. Neuroscientists can specialize in areas such as molecular neuroscience, cognitive neuroscience, or neuropsychology, and their research can contribute to medical advances, treatments for neurological disorders, and our overall understanding of the brain. Many neuroscientists work in research institutions, universities, or healthcare settings.

What are the key skills and qualifications needed to thrive as a neuroscientist, and why are they important?

To thrive as a Neuroscientist, you need a solid background in biology, neuroscience, or a related field, often supported by a Ph.D. and experience in scientific research methods. Familiarity with laboratory techniques, neuroimaging tools (such as MRI or EEG), data analysis software (like MATLAB or Python), and relevant certifications in animal/human research ethics are typically required. Critical thinking, problem-solving, and strong communication skills help distinguish outstanding neuroscientists who can collaborate effectively and present complex findings. These competencies are essential for advancing scientific understanding, driving innovation, and contributing meaningful insights to the field of neuroscience.

What are the common challenges neuroscientists face when conducting research in a collaborative environment?

Neuroscientists often work as part of multidisciplinary teams that may include psychologists, data analysts, engineers, and clinicians. A common challenge is effectively communicating complex scientific concepts across fields to ensure everyone is aligned on research goals and methodologies. Additionally, coordinating experiments and data sharing while adhering to strict ethical guidelines can require careful planning and collaboration. Building strong working relationships and developing clear communication protocols are key to overcoming these challenges and advancing research projects successfully.

What is the difference between Neuroscientist vs Neuropsychologist?

AspectNeuroscientistNeuropsychologist
Required CredentialsPhD in Neuroscience or related fieldPhD or PsyD in Psychology with specialization in neuropsychology
Work EnvironmentResearch labs, universities, pharmaceutical companiesHospitals, clinics, rehabilitation centers
Industry UsageResearch, academia, biotechClinical assessment, diagnosis, therapy

Neuroscientists primarily focus on understanding the brain's structure and function through research, often working in labs or academic settings. Neuropsychologists, on the other hand, evaluate and treat patients with brain injuries or cognitive impairments in clinical environments. While both roles require advanced degrees and knowledge of brain functions, their work settings and objectives differ significantly.

Are neuroscientists in high demand?

Neuroscientists are in growing demand due to advances in brain research, neurotechnology, and healthcare needs. Employment opportunities are available in academia, healthcare, and industry, often requiring strong research skills and advanced degrees. Job growth is expected to be steady as understanding of neurological conditions improves.

Is neuroscience a high paying field?

Neuroscientists often earn competitive salaries, especially with advanced degrees such as a Ph.D. or M.D. and experience in research or clinical settings. Salaries vary based on industry, location, and specialization, with those in industry or private sector roles typically earning more than academic positions.

What jobs can a neuroscientist get you into?

A neuroscientist can work in research laboratories, healthcare settings, or academia, often as a research scientist, clinical researcher, or professor. They may also find roles in pharmaceuticals, neurotechnology development, or neuropsychology, utilizing skills in data analysis, experimental design, and neuroimaging tools.

What jobs can you do in neuroscience?

Neuroscientists can work in research, academia, healthcare, pharmaceuticals, and biotechnology, studying the brain and nervous system. Common roles include research scientist, clinical neuropsychologist, neuroimaging specialist, and data analyst, often requiring advanced degrees and familiarity with laboratory tools and imaging technologies.

What are the most commonly searched types of Neuroscientist jobs in California?

The most popular types of Neuroscientist jobs in California are:

What cities in California are hiring for Neuroscientist jobs?

Cities in California with the most Neuroscientist job openings:

What are popular job titles related to Neuroscientist jobs in CA?

For Neuroscientist jobs in CA, the most frequently searched job titles are:

Infographic showing various Neuroscientist job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 94% Physical, and 6% Hybrid job distribution.

Computational Neuroscientist

Alljoined

San Francisco, CA • On-site

$120K - $160K/yr

Full-time

Medical

Re-posted 27 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