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Phd In Neuroscience Jobs in Seattle, WA (NOW HIRING)

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Phd In Neuroscience information

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How much do phd in neuroscience jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for phd in neuroscience in Seattle, WA is $33.51, according to ZipRecruiter salary data. Most workers in this role earn between $28.99 and $37.50 per hour, depending on experience, location, and employer.

What are some common collaborative opportunities for someone with a PhD in Neuroscience within academic and industry settings?

With a PhD in Neuroscience, you can expect to work closely with diverse teams, including biologists, psychologists, data scientists, and clinicians. In academia, collaboration often involves interdisciplinary research projects, grant writing, and co-authoring publications. In industry, you may partner with pharmacologists, engineers, or product development teams to advance neurotechnology or therapeutics. Effective communication and teamwork are essential, as many projects require integrating expertise from multiple fields to tackle complex questions about the brain and nervous system.

What jobs can I do with a PhD in neuroscience?

A PhD in neuroscience qualifies individuals for roles such as research scientist, university professor, clinical neuropsychologist, or pharmaceutical researcher. These positions often require strong analytical skills, knowledge of laboratory techniques, and familiarity with neuroimaging tools or data analysis software.

What are the key skills and qualifications needed to thrive as a PhD in Neuroscience?

To thrive as a PhD in Neuroscience, you need a deep understanding of neurobiology, experimental design, and data analysis, typically supported by a doctoral degree in neuroscience or a related field. Experience with advanced laboratory techniques, neuroimaging software, and statistical programming tools like MATLAB or Python is highly valuable. Strong critical thinking, perseverance, and the ability to communicate complex findings clearly set top candidates apart. These skills and qualities are essential for driving impactful research, publishing results, and collaborating effectively in multidisciplinary scientific environments.

Is a PhD in neuroscience worth it?

A PhD in neuroscience prepares individuals for research, academia, and specialized roles in healthcare and biotech industries. It involves extensive training in research methods, data analysis, and often requires several years of study, leading to higher-level positions and increased earning potential compared to bachelor's or master's degrees.

What is a PhD in Neuroscience?

A PhD in Neuroscience is a doctoral degree focused on the scientific study of the nervous system, including the brain, spinal cord, and neural networks. Students in these programs conduct original research to understand how the nervous system works at molecular, cellular, and systemic levels. Graduates are trained to pursue careers in academia, biotechnology, pharmaceuticals, or healthcare. A PhD in Neuroscience typically requires several years of coursework, lab rotations, and the completion of a dissertation based on novel research.
What are popular job titles related to Phd In Neuroscience jobs in Seattle, WA? For Phd In Neuroscience jobs in Seattle, WA, the most frequently searched job titles are:
Infographic showing various Phd In Neuroscience job openings in Seattle, WA as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 100% In-person job distribution, with an average salary of $69,698 per year, or $33.5 per hour.

Scientist I - Computation through Dynamics

Allen Institute

Seattle, WA โ€ข On-site

$86K - $106K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

Scientist I - Computation through Dynamics
The Allen Institute accelerates science for a healthier world through large-scale research designed to answer some of the most complex questions in biology. Our multi-disciplinary teams generate foundational knowledge, tools, and data to understand how our brain, cells, and immune system work. We share our work openly so others can build on it, move faster, and ask bigger questions. We drive discovery forward and create new possibilities for improving human health.
The goal of the Neural Dynamics accelerator is to understand how the brain generates flexible behavior. We aim to uncover the algorithms-implemented by dynamics in brain-wide neural circuits-that allow animals to build internal models, process information, and choose actions.
We are searching for 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.