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Computer Science Neuroscience Jobs in Redmond, WA

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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.

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 you get with a BS in neuroscience?

A Bachelor of Science in neuroscience can lead to roles such as research assistant, clinical research coordinator, neurotechnology technician, or healthcare technician. These positions often require knowledge of biology, psychology, and data analysis, and may involve working in labs, hospitals, or research 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, and may pursue careers in academia, biotech companies, or tech firms focusing on neural data analysis, machine learning, or brain-computer interfaces.

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.

Can I go into neuroscience with a computer science degree?

Computer Science Neuroscience is an interdisciplinary field where a computer science degree provides a strong foundation for roles involving neural data analysis, computational modeling, and machine learning in neuroscience. Additional knowledge of biology, neuroscience principles, and programming tools like Python or MATLAB can enhance job prospects in research or industry settings.
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:
Computer Science Neuroscience jobs near you
Infographic showing various Computer Science Neuroscience job openings in Redmond, WA as of June 2026, with employment types broken down into 31% Full Time, 57% Part Time, 2% Temporary, and 10% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution.
Scientist I - Computation through Dynamics

Scientist I - Computation through Dynamics

Allen Institute

Seattle, WA • On-site

$86K - $106K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

Scientist I - Computation through Dynamics
The neural dynamics accelerator at Allen Institute (a/ND) is focused on foundational neuroscience. We are interested in how the brain builds our understanding of the complex world to guide the flexible behaviors that address our biological needs. The answers will be in terms of the algorithms implemented by circuits interacting across the whole brain and body. We develop experimental and theoretical methods and employ a team-based approach for discovery neuroscience. Knowledge, data, models, and tools will be widely shared, in part to support the development of therapies for brain disorders.
a/ND is seeking a Scientist to lead the analysis of large-scale neural population recordings collected during flexible decision-making tasks. These datasets include spike trains from thousands of neurons recorded simultaneously across multiple brain regions, providing a unique opportunity to uncover how distributed neural circuits support adaptive behavior. The ideal candidate will be team-oriented, have deep knowledge in neuroscience and statistics, and be excited to work at the interface of large-scale physiology, behavior, and theory. This position will require good communication with experimentalists leveraging state-of-the-art behavioral, computational, electrophysiological, and imaging methods, as well as molecular and transgenic resources. The goal is to make fundamental discoveries about multi-regional neural computation for continuous learning and flexible behaviors, and to generate insights that inform downstream computational modeling work and new experiments.
At the Allen Institute, we believe that science is for everyone - and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly. We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.
We are an equal opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.
This position is full-time and of a limited duration, with an expected end date of February 1, 2030.
Essential Functions
  • Build and deploy reproducible analysis pipelines for large scale neural and behavioral datasets
  • Apply statistical approaches to extract structure from high-dimensional neural activity
  • Develop quantitative models and analyses of behavior and neural measurements
  • Collaborate internally and externally to develop theory guided hypotheses for neural computation
  • Present results internally, via talks and progress reports, and to the external community, via conferences and publications
  • Engage deeply with current literature, including ~quarterly presentations in the theory journal club

Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management's assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.
Required Education and Experience
  • PhD in neuroscience, statistics, computer science, physics or related field; or equivalent combination of degree and experience
  • Demonstrated proficiency in conducting collaborative, multidisciplinary research
  • Strong understanding of statistics and data science
  • Ability to write reusable code in Python

Preferred Education and Experience
  • Experience with cloud computing infrastructure
  • Excellent written and verbal communication skills
  • Strong publication record

Physical Demands
  • Fine motor movements in fingers/hands to operate computers and other office equipment; repetitive motion with lab equipment

Position Type/Expected Hours of Work
  • This role is currently able to work both remotely and onsite in a hybrid work environment. We are a Washington State employer, and the primary work location for all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State.
  • This position is full-time and of a limited duration, with an expected end date of February 1, 2030.

Travel
  • Attendance and participation in national and international conferences required

Additional Comments
  • **Please note, this opportunity offers relocation assistance**
  • **Please note, this opportunity may offer work visa sponsorship**

Annualized Salary Range
  • $86,150 - $106,650 *

* Final salary depends on required education for the role, experience, and level of skills relevant to the role, along with work location, where applicable.
Benefits
  • Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute's Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute's 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute's benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits.

It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.

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