Research Scientist Jobs in Washington
Research Scientist jobs in Washington are among the most active in the country, concentrated in biotechnology, life sciences, aerospace, and technology sectors across seniority levels from entry-level research associate through principal and senior scientist. The heaviest hiring is in Seattle, Redmond, and Bothell, where employers like Amazon, Boeing, and Fred Hutchinson Cancer Center maintain large and lasting research operations. The most in-demand specialties include computational biology, materials science, and machine learning research. Find a role that fits below and apply directly.
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Showing 5 of 63+ Research Scientist jobs
DESCRIPTION
In this role, you’ll work across a variety of research methodologies to optimize our data collection, create scalable analytical approaches, and deep dive the Seller experience to create rigorous, quantitative insights that senior leaders use to set strategy.
Key job responsibilities
Key Job Responsibilities
- Apply psychometric and survey methodology techniques (e.g., IRT, factor analysis, scale development, single-item indicators) to measure seller experience constructs with scientific rigor
- Design and implement frameworks that link seller attitudinal data to behavioral outcomes and identify high-impact opportunity areas
- Design and execute statistical analyses including regression modeling, significance testing, and driver analysis to identify what matters most to sellers
- Apply observational causal evaluation methods to estimate the effects of policy changes, product launches, and platform interventions on seller experience
- Design, build and maintain analytical pipelines that transform raw survey data into production-ready metrics, reports, and dashboards
- Design and build systems to analyze open-ended survey responses using text classification, thematic coding, and natural language processing techniques
- Design and monitor processes improve survey response rates, sampling methodology, and data quality
- Productionalize research code: take analyses from prototype to automated, reproducible pipelines that run reliably in production environments
- Communicate findings clearly to technical and non-technical audiences through written reports, data visualizations, and presentations
- Collaborate and influence with cross-functional partners to translate business questions into well-defined research problems and scientific metrics
- Document research methods, assumptions, and limitations transparently to ensure reproducibility
A day in the life
Your day typically starts with the data. You might spend the morning reviewing satisfaction trends, investigating a shift in a key metric, and pulling together an analysis that explains what's driving it. You'll regularly meet with external teams to help them understand how a proposed product will affect seller sentiment and what the data says they should prioritize. You'll also spend time in R or Python building, training, or testing models to improve how we measure and act on sentiment data.
About the team
Our team owns the research and measurement infrastructure that tracks satisfaction across all 2.1 million selling partners on Amazon, spanning Seller Central, Next Gen Selling, and Mobile. We sit at the intersection of data and strategy, partnering with teams across product, design, and engineering to advocate for seller experience improvements. This is a high-visibility team where the work is consequential, the stakeholders are senior, and the problems are genuinely hard.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 5+ years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience analyzing both experimental and observational data sets
- Experience programming, prototyping and scripting with Oracle, SQL, Hive, Pig, SAS, R, Weka, or Python
- Knowledge of R, MATLAB, Python or similar scripting language
- Experience with lab-based user testing, remote testing, iterative prototype testing, survey design, and usage of multiple methods within a study
- Experience applying basic statistical methods (e.g. regression) to difficult business problems
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits), or experience working with Excel and large-scale data mining and reporting tools such as Python, SQL, or Tableau
- Experience with survey research methodology and psychometric measurement (e.g., item response theory, factor analysis, scale construction, reliability analysis) as well as single-item indicators
PREFERRED QUALIFICATIONS
- Experience with agile development
- Experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows
- Experience with any programming language such as Python, Java, C++
- Knowledge of machine learning processing: computer vision, NLU, NLP or operations research
- Experience with AWS services including S3, Redshift, EMR and RDS
- Experience with various types of research methodologies is key, including quant, qual, 1P & 3P data, trend analysis & forecasting, etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually
DESCRIPTION
In this role, you’ll work across a variety of research methodologies to optimize our data collection, create scalable analytical approaches, and deep dive the Seller experience to create rigorous, quantitative insights that senior leaders use to set strategy.
Key job responsibilities
Key Job Responsibilities
- Apply psychometric and survey methodology techniques (e.g., IRT, factor analysis, scale development, single-item indicators) to measure seller experience constructs with scientific rigor
- Design and implement frameworks that link seller attitudinal data to behavioral outcomes and identify high-impact opportunity areas
- Design and execute statistical analyses including regression modeling, significance testing, and driver analysis to identify what matters most to sellers
- Apply observational causal evaluation methods to estimate the effects of policy changes, product launches, and platform interventions on seller experience
- Design, build and maintain analytical pipelines that transform raw survey data into production-ready metrics, reports, and dashboards
- Design and build systems to analyze open-ended survey responses using text classification, thematic coding, and natural language processing techniques
- Design and monitor processes improve survey response rates, sampling methodology, and data quality
- Productionalize research code: take analyses from prototype to automated, reproducible pipelines that run reliably in production environments
- Communicate findings clearly to technical and non-technical audiences through written reports, data visualizations, and presentations
- Collaborate and influence with cross-functional partners to translate business questions into well-defined research problems and scientific metrics
- Document research methods, assumptions, and limitations transparently to ensure reproducibility
A day in the life
Your day typically starts with the data. You might spend the morning reviewing satisfaction trends, investigating a shift in a key metric, and pulling together an analysis that explains what's driving it. You'll regularly meet with external teams to help them understand how a proposed product will affect seller sentiment and what the data says they should prioritize. You'll also spend time in R or Python building, training, or testing models to improve how we measure and act on sentiment data.
About the team
Our team owns the research and measurement infrastructure that tracks satisfaction across all 2.1 million selling partners on Amazon, spanning Seller Central, Next Gen Selling, and Mobile. We sit at the intersection of data and strategy, partnering with teams across product, design, and engineering to advocate for seller experience improvements. This is a high-visibility team where the work is consequential, the stakeholders are senior, and the problems are genuinely hard.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 5+ years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience analyzing both experimental and observational data sets
- Experience programming, prototyping and scripting with Oracle, SQL, Hive, Pig, SAS, R, Weka, or Python
- Knowledge of R, MATLAB, Python or similar scripting language
- Experience with lab-based user testing, remote testing, iterative prototype testing, survey design, and usage of multiple methods within a study
- Experience applying basic statistical methods (e.g. regression) to difficult business problems
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits), or experience working with Excel and large-scale data mining and reporting tools such as Python, SQL, or Tableau
- Experience with survey research methodology and psychometric measurement (e.g., item response theory, factor analysis, scale construction, reliability analysis) as well as single-item indicators
PREFERRED QUALIFICATIONS
- Experience with agile development
- Experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows
- Experience with any programming language such as Python, Java, C++
- Knowledge of machine learning processing: computer vision, NLU, NLP or operations research
- Experience with AWS services including S3, Redshift, EMR and RDS
- Experience with various types of research methodologies is key, including quant, qual, 1P & 3P data, trend analysis & forecasting, etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually
See All 63 Research Scientist Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Research Scientist JobsResearch Scientist Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Research Scientist Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- ByteDance10
- TikTok9
- Amazon7
- Apple6
- NVIDIA6
Top Industries Hiring
- Technology & Software25
- Science & Research5
- Electronics & Hardware5
- Retail4
- E-Commerce & Online Marketplaces4
What Washington Employers Look For
The qualifications that appear most often in research scientist jobs across Washington.
- PhD or master's degree in a relevant scientific discipline from an accredited institution
- Demonstrated experience designing and executing independent research studies
- Proficiency with data analysis tools and statistical software used in the specialty area
- Peer-reviewed publications, patents, or a portfolio demonstrating original research contributions
- Ability to collaborate with cross-functional teams and communicate findings to technical audiences
- Familiarity with laboratory safety protocols and compliance standards applicable to Washington research settings
Research Scientist Jobs in Washington: Frequently Asked Questions
How do you become a research scientist in Washington?
Most research scientist positions in Washington require at minimum a master's degree, and many roles at major employers require a PhD in a relevant discipline such as biology, chemistry, computer science, or engineering. Washington does not issue a general state license for research scientists, so hiring decisions turn on education, publications, and demonstrated research output. Candidates targeting life sciences roles should be aware that work in clinical or diagnostic laboratory settings may require certification through the Washington State Department of Health.
Which companies hire research scientists in Washington?
Employers hiring research scientists in Washington right now include ByteDance, TikTok, and Amazon, based on current listings on Migrate Mate as of August 2026. Washington's concentration of technology headquarters, world-class research hospitals, and federally funded laboratories at institutions like Pacific Northwest National Laboratory makes it one of the deepest employer pools for research scientists in the western United States.
Which Washington cities have the most research scientist jobs?
Seattle, Redmond, and Bellevue account for the largest share of research scientist openings in Washington. Seattle anchors the market through its dense cluster of biotech firms, university medical centers, and technology companies, while Redmond draws openings tied to large technology campuses, and Bothell has grown into a hub for life sciences manufacturing and research operations that consistently post scientist-level roles.
Are there remote research scientist jobs in Washington?
Yes, but they're rare. Research science is heavily hands-on, and most roles require physical access to laboratory equipment, biological samples, or specialized instrumentation. About 20% of research scientist openings tied to Washington are remote or hybrid as of August 2026, and those tend to be concentrated in computational, data-heavy, or modeling sub-disciplines where the core work happens on a computer rather than at a bench.
How can I get hired as a research scientist in Washington with little or no experience?
The most realistic entry path is a research associate or junior scientist role, which Washington employers including major biotech companies in Bothell and academic medical centers in Seattle post regularly for candidates with a bachelor's or master's degree and laboratory coursework. Completing a postdoctoral fellowship at the University of Washington or Washington State University is the standard bridge into independent scientist roles for recent PhDs. Candidates from adjacent roles such as lab technician, research coordinator, or data analyst who can show direct research output through a publication, thesis, or documented project have a clear advantage in Washington hiring.
Where can I find and apply to research scientist jobs in Washington?
You can find and apply to research scientist jobs in Washington on Migrate Mate, which lists current Washington openings updated regularly. Search the available roles, identify the ones that fit your background and target area, and apply directly through the listing.
See All 63 Research Scientist Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Research Scientist Jobs