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Data Science Neuroscience Jobs in Seattle, WA (NOW HIRING)

Allen Institute

Scientist I - Neural Coding

Seattle, WA · On-site

$86K - $106K/yr

Our multi-disciplinary teams generate foundational knowledge, tools, and data to understand how our ... D. in Neuroscience, Computer Science, Applied Math, Engineering; or equivalent combination of ...

New

Allen Institute

Scientist I - Neural Coding

Seattle, WA · On-site

$86K - $106K/yr

Our multi-disciplinary teams generate foundational knowledge, tools, and data to understand how our ... D. in Neuroscience, Computer Science, Applied Math, Engineering; or equivalent combination of ...

New

Ai2

Research Engineer, Asta

Seattle, WA · On-site

... neuroscience. Responsibilities : • Building infrastructure to facilitate the next generation of ... Qualifications : Required : • A bachelor's degree in CS/EE/Data Science/Applied Mathematics ...

Ai2

Research Engineer, Asta

Seattle, WA · On-site

... neuroscience, social science, etc. • Designing, building, and training machine learning or ... Qualifications : Required : • A bachelor's degree in CS/EE/Data Science/Applied Mathematics ...

Ai2

Research Engineer, Asta

Seattle, WA · On-site

... neuroscience, social science, etc. • Designing, building, and training machine learning or ... Qualifications : Required : • A bachelor's degree in CS/EE/Data Science/Applied Mathematics ...

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All JobsData Science Neuroscience JobsData Science Neuroscience Jobs in Seattle, WA

Data Science Neuroscience information

See Seattle, WA salary details

$26K

$121.1K

$222.4K

How much do data science neuroscience jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data science neuroscience in Seattle, WA is $121,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,856.00 and $168,840.00 per year, depending on experience, location, and employer.

How do data scientists in neuroscience typically collaborate with research teams and clinicians?

Data scientists in neuroscience often work closely with multidisciplinary teams that include neuroscientists, clinicians, and other data specialists. They are responsible for designing and implementing analytical pipelines, interpreting complex brain data, and translating findings into actionable insights for both research and clinical applications. Effective communication skills are crucial, as they must explain technical results to non-technical team members and adapt analyses based on evolving research questions. This collaborative environment offers opportunities to contribute to cutting-edge discoveries and impacts both academic and medical advancements.

Can I become a data science neuroscientist with a neuroscience degree?

A neuroscience degree provides a strong foundation for a data science neuroscientist role, but additional skills in programming, statistics, and data analysis are typically required. Gaining experience with tools like Python, R, and machine learning, along with relevant certifications or coursework, can enhance eligibility for this interdisciplinary position.

What are the key skills and qualifications needed to thrive as a data science neuroscience professional, and why are they important?

To excel as a Data Science Neuroscience professional, you need a strong background in neuroscience, statistics, and programming, often supported by an advanced degree in neuroscience, data science, or a related field. Familiarity with data analysis tools such as Python, R, MATLAB, machine learning frameworks, and neuroimaging software like SPM or FSL is typically required. Critical thinking, problem-solving, and the ability to communicate complex findings clearly make individuals stand out in this interdisciplinary role. These skills are vital for effectively analyzing large-scale neural data, generating insights, and facilitating collaboration between data scientists and neuroscientists.

What is data science in neuroscience?

Data Science in Neuroscience involves applying computational, statistical, and analytical methods to study the brain and nervous system. Data scientists in this field analyze large-scale datasets, such as brain imaging, genomic, or behavioral data, to uncover patterns and insights about neural function and disorders. They use machine learning, data visualization, and other quantitative tools to advance understanding of the brain, support research, and aid in clinical decision-making. This interdisciplinary role requires knowledge of neuroscience, computer science, and statistics.
What are the most commonly searched types of Data Science Neuroscience jobs in Seattle, WA? The most popular types of Data Science Neuroscience jobs in Seattle, WA are:
What are popular job titles related to Data Science Neuroscience jobs in Seattle, WA? For Data Science Neuroscience jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Science Neuroscience jobs in Seattle, WA look for? The top searched job categories for Data Science Neuroscience jobs in Seattle, WA are:
Data Science Neuroscience jobs near you
Infographic showing various Data Science Neuroscience job openings in Seattle, WA as of August 2026, with employment types broken down into 57% Full Time, and 43% Part Time. Highlights an 100% In-person job distribution, with an average salary of $121,109 per year, or $58.2 per hour.

Applied Perception Scientist

PROLIM Global Corporation

Redmond, WA • On-site

Full-time

Re-posted 2 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.

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