1

Cognitive Neuroscience Jobs (NOW HIRING)

A PhD or postdoc in cognitive neuroscience, neuroengineering, or a similar science or engineering field * Strong neuromodulation and neurophysiology first principles * Experience with brain ...

$52K - $83K/yr

Job Posting Description Position Summary The Labs of Cognitive Neuroscience and the Biobehavioral Research Laboratory is seeking a full-time Computational Health Informatics Data Manager I for ...

Showing results 41-60

Cognitive Neuroscience information

See salary details

$22K

$65.7K

$148.5K

How much do cognitive neuroscience jobs pay per year?

As of Sep 9, 2026, the average yearly pay for cognitive neuroscience in the United States is $65,725.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,500.00 and $83,500.00 per year, depending on experience, location, and employer.

What is cognitive neuroscience?

Cognitive neuroscience is the scientific study of how the brain enables the mind, focusing on the neural connections underlying mental processes such as perception, memory, language, and decision-making. It combines principles from psychology, neuroscience, and biology to understand how brain activity is linked to cognitive functions. Researchers in this field use techniques like brain imaging, electrophysiology, and behavioral experiments to explore how brain structure and function relate to thought and behavior.

How to get a job in cognitive neuroscience?

The qualifications you need for jobs in cognitive neuroscience begin with scientific and biological studies. You need a bachelor’s degree that focuses on physiological psychology, neuropsychology, and cognitive psychology. After obtaining your bachelor’s, you must continue to a master’s degree to gain the necessary skills for these jobs. A doctorate is not a requirement for all positions, though it does open the door to higher-level opportunities. There are no licenses or certifications necessary for this line of work. Once you obtain the proper education, search online job boards for openings at research organizations or universities.

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

To thrive as a Cognitive Neuroscientist, you need expertise in neuroscience, psychology, research methodology, and statistical analysis, typically supported by a Ph.D. in neuroscience or a related field. Proficiency with neuroimaging tools (such as fMRI or EEG), programming languages (like Python or MATLAB), and data analysis software is essential. Strong critical thinking, problem-solving, and collaborative communication skills help drive innovative research and effective teamwork. These abilities are crucial for designing robust experiments, interpreting complex data, and advancing scientific understanding of the brain and cognition.

What are some typical challenges faced by cognitive neuroscience researchers when working on interdisciplinary teams?

Cognitive neuroscience researchers often collaborate with professionals from psychology, computer science, engineering, and medicine. A common challenge is bridging gaps in terminology and methodologies, as each discipline may approach a problem differently. Effective communication and flexibility are essential to harmonize research goals, experimental designs, and data analysis techniques. Building strong collaborative relationships and being open to learning from other fields can greatly enhance the success of interdisciplinary projects.

What is the difference between Cognitive Neuroscience vs Neuropsychologist?

AspectCognitive NeuroscienceNeuropsychologist
Required CredentialsPhD in Neuroscience, Psychology, or related fieldDoctoral degree (PhD or PsyD) in Psychology, with specialization in neuropsychology
Work EnvironmentResearch labs, universities, hospitals, or industry settingsClinics, hospitals, rehabilitation centers, or private practice
Industry UsageResearch, academia, industry R&DClinical assessment, diagnosis, and treatment planning
Common Search & ComparisonFocuses on brain-behavior relationships through researchFocuses on patient assessment and cognitive rehabilitation

While both Cognitive Neuroscience and Neuropsychologist roles involve understanding brain functions, Cognitive Neuroscience primarily emphasizes research on brain mechanisms underlying cognition, often in academic or industry settings. Neuropsychologists, on the other hand, apply this knowledge clinically to assess and treat individuals with brain injuries or neurological conditions.

Is cognitive neuroscience in demand?

Cognitive neuroscience is a growing field with increasing demand in academia, healthcare, and industry for researchers and professionals skilled in neuroimaging, data analysis, and experimental design. Job opportunities are expanding as understanding of brain functions advances and interdisciplinary approaches become more valued.

What can I do with cognitive neuroscience?

A career in cognitive neuroscience involves researching how the brain processes information, often using tools like MRI and EEG. Job roles include research scientist, neuropsychologist, or data analyst, typically requiring strong analytical skills and advanced degrees such as a Ph.D. or master's in neuroscience or psychology.

What is the job of a cognitive neuroscientist?

A cognitive neuroscientist studies how brain processes relate to mental functions such as memory, perception, and decision-making. They often conduct experiments using neuroimaging tools like MRI or EEG and analyze data to understand brain-behavior relationships. The role typically requires a strong background in neuroscience, psychology, and research methods.

What cities are hiring for Cognitive Neuroscience jobs?

Cities with the most Cognitive Neuroscience job openings:

What are the most commonly searched types of Cognitive Neuroscience jobs?

The most popular types of Cognitive Neuroscience jobs are:

What states have the most Cognitive Neuroscience jobs?

States with the most job openings for Cognitive Neuroscience jobs include:

Infographic showing various Cognitive Neuroscience job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 85% Full Time, 12% Part Time, and 1% Contract. Highlights an 49% Physical, 1% Hybrid, and 50% Remote job distribution, with an average salary of $65,725 per year, or $31.6 per hour.

Human Neuroscientist

San Francisco, CA • On-site

Full-time

Re-posted 21 days ago


Job description

About Nudge
At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people's lives. We're starting with an approach that we believe can help the most people the fastest, and also allow us to learn as much about the brain as possible: developing a non-invasive, ultrasound-based device that can stimulate and image the brain at high resolution and depth. This is a vertically integrated effort building cutting-edge hardware, software, and research capabilities to create products that can benefit millions - and eventually billions - of people.
To succeed, we need to assemble world-class teams across everything we do. We hire people who are exceptional at their craft, believe hard things are worth doing, and execute relentlessly - people who expect the highest levels of both rigor and integrity from each other.
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, and neuromodulation methodologies into experimental design
  • Translate insights from in vitro, animal, and engineering studies to human application
  • Contribute to strategies for exploring novel targets for neuromodulation based on internal and external research
  • Communicate scientific findings and results with engineering and other team members

About you
We are looking for scientists of all levels but regardless of your career level, you should have:
  • A PhD or postdoc in cognitive neuroscience, neuroengineering, or a similar science or engineering field
  • Strong neuromodulation and neurophysiology first principles
  • Experience with brain stimulation in humans, ideally with transcranial ultrasonic stimulation
  • Exceptional proficiency interventional data acquisition and analysis, including use of fMRI, behavioral, and physiological measurements
  • Exceptional proficiency with statistical analysis
  • Experience carrying out analyses in Python, R, and/or MATLAB
  • A demonstrated history of exceptional technical contribution
  • High integrity and strong professional judgement