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Computer Science Neuroscience Jobs in Redmond, WA

UX Researcher III

Redmond, WA · On-site

$53 - $73/hr

Master's degree in Cognitive Psychology, Linguistics, Human-Computer Interaction, Human Factors, Speech and Hearing Sciences, Neuroscience, or a related research field. * 2+ years of applied research ...

DevOps Engineer III

Seattle, WA · Hybrid

$137K - $171K/yr

... neuroscience community adhering to FAIR standards. The ideal candidate will be familiar with a ... Bachelor's degree in computer science or related field; or equivalent combination of degree and ...

DevOps Engineer III

Seattle, WA · On-site

$137K - $171K/yr

... neuroscience community adhering to FAIR standards. The ideal candidate will be familiar with a ... Bachelor's degree in computer science or related field; or equivalent combination of degree and ...

Perform computer functions including label printing, charge/credit data, and order entry of ... neurosciences, ophthalmology, vascular surgery, HIV/AIDS, rehabilitation, mental health and ...

Perform computer functions including label printing, charge/credit data, and order entry of ... neurosciences, ophthalmology, vascular surgery, HIV/AIDS, rehabilitation, mental health and ...

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Computer Science Neuroscience information

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 job categories do people searching Computer Science Neuroscience jobs in Redmond, WA look for? The top searched job categories for Computer Science Neuroscience jobs in Redmond, WA are:
Infographic showing various Computer Science Neuroscience job openings in Redmond, WA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.

Applied Perception Scientist

PROLIM Global Corporation

Redmond, WA • On-site

Full-time

Posted 18 days ago


Job description

Reality Labs Research at Meta is a leading research organization of world-class researchers, developers, and engineers, who collaborate to actively create a future where virtual and augmented reality become as indispensable as today's smartphones and personal computers.
The mission of the Reality Labs Research Audio team is to engineer augmented audio that redefines human hearing capabilities. This will allow us to connect people by facilitating conversation in even the most challenging auditory environment.
We are seeking a contract applied research scientist specializing in the perception of tonal languages. This role is an integral part of our team, contributing to our research and development efforts. The ideal candidate will help us explore and understand individualized audio quality preferences and experiences, enabling us to tailor our technologies to meet unique user needs.
Responsibilities
  • Oversee and drive research projects on speech quality, statistically analyze results and report findings.
  • Monitor problems, facilitate resolution, and proactively keep projects on track.
  • Implement and conduct pilot listening tests and other perceptual experiences.
  • Regularly report on project progress, dependencies and risks to stakeholders.
  • Support research scientists and engineers within the team.
  • Manage procurement projects for equipment and vendor services.
  • Willingness to "roll up sleeves" and take on operational tasks in support of the team's goals.

Minimum Qualifications
  • Interpersonal and communication skills, with strong attention to detail.
  • Proactive with ability to execute on multiple projects simultaneously.
  • Strong organizational and time management skills.
  • Track record of communicating research on speech perception, hearing sciences or auditory perception in an academic or industrial setting.
  • Experience with data collection with human participants.
  • Experience working in a fast-paced research and/or product development environment.
  • Experience with scientific programming languages such as Matlab, Python, C++, or R.
  • Master's degree or equivalent experience in Computational Neuroscience, Cognitive Science, Electrical Engineering, Perception, Experimental Psychology, Audio Engineering, Acoustics, Computer Science, Computer Engineering, Biomedical Engineering, Computational Audiology or a related field.

Preferred Qualifications
  • Experience with tonal languages.
  • PhD degree or equivalent experience.
  • Experience with AI generative speech.
  • Experience with modeling audio quality.

Candidate Requirements
Must-Have Skills
  1. Experience with statistical analysis of behavioral data (e.g., mixed-effects models, signal detection theory, psychometric methods).
  2. Work experience in perceptual or psychophysical research with a track record of successful project completion.
  3. Experience with scientific programming languages such as Python, MATLAB, R, or C++.

Nice-to-Have Skills
  1. Advanced Education: PhD degree or equivalent experience.
  2. AI Experience: Experience with AI generative speech.
  3. Audio Modeling: Experience with modeling audio quality.

Ideal Candidate:
looking for someone with extensive academic experience: the ideal candidate is a card-carrying perception scientist (typically: cognitive science, neuroscience, neural engineering) who has personally designed and ran lots of perception studies and who has at least dabbled in computational models of perception. Someone who is currently a postdoc, a professor or a senior PhD student.