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

Uw

Research Scientist/Engineer 3

Seattle, WA · On-site

This position supports the analysis of spatial transcriptomic data generated from kidney biopsy ... Bachelor's degree in Bioinformatics, Computational Biology, Biostatistics, Data Science or a ...

Xevo

(131) Software Development Engineer

Seattle, WA

... geodata spatial, data science, cloud native, 4G and 5G networking and continuous delivery and integration. At the end, you will be a well-rounded, full-stack engineer. Our Software Development ...

Xevo

(141) Senior Software Development Engineer

Seattle, WA

$139K - $183K/yr

... geodata spatial, data science, cloud native, 4G and 5G networking and continuous delivery and integration. At the end, you will be a well-rounded, full-stack engineer. Our Software Development ...

DigiPen

Adjunct Professor in Computer Science

Redmond, WA · On-site

$6.0K - $12K/mo

The Department of Computer Science at DigiPen Institute of Technology is currently seeking ... Topics include creation and usage of spatial data structures, object-culling strategies, geometry ...

WSP

Associate Environmental Scientist

Redmond, WA · On-site

$84K - $110K/yr

Provides technical assistance and guidance for the collection, identification, and compiling of observational and spatial data concerning a variety of biological, physical, and earth sciences.

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All JobsSpatial Data Science JobsSpatial Data Science Jobs in Seattle, WA

Spatial Data Science information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do spatial data science jobs pay per year?

As of Jul 22, 2026, the average yearly pay for spatial data science in Seattle, WA is $147,618.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 per year, depending on experience, location, and employer.

What is spatial data science?

Spatial data science is a field that combines data science techniques with geographic information systems (GIS) to analyze and interpret spatial or location-based data. It involves collecting, processing, and visualizing data that has a geographic or spatial component, such as maps, satellite images, or GPS coordinates. Spatial data scientists use methods from statistics, machine learning, and computer science to solve problems related to urban planning, environmental monitoring, transportation, and more. The insights gained from spatial data science help organizations make better decisions based on the relationships and patterns found in geographic data.

What are the key skills and qualifications needed to thrive as a Spatial Data Scientist, and why are they important?

To thrive as a Spatial Data Scientist, you need a strong background in statistics, geospatial analysis, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases (like PostGIS), and relevant certifications (e.g., Esri Technical Certification) is commonly required. Strong analytical thinking, problem-solving abilities, and effective communication are vital soft skills to interpret spatial data and convey insights to stakeholders. These competencies are crucial for extracting actionable insights from complex geospatial datasets and supporting informed decision-making.

What GIS jobs pay the most?

Senior GIS analyst, GIS manager, and geospatial data scientist roles tend to offer the highest salaries in the GIS field, often exceeding $80,000 to $100,000 annually depending on experience, location, and industry. These positions typically require advanced skills in GIS software, programming, and data analysis, with certifications like GISP enhancing earning potential.

What is the difference between Spatial Data Science vs Geospatial Analyst?

AspectSpatial Data ScienceGeospatial Analyst
Required CredentialsDegree in GIS, Geography, Data Science, or related fields; often includes certifications in GIS or data analysisDegree in Geography, GIS, or related fields; certifications in GIS software are common
Work EnvironmentData analysis, modeling, and programming; often in tech or research settingsMapping, data visualization, and GIS software use; typically in government, environmental, or urban planning agencies
Employer & Industry UsageTech companies, research institutions, urban planning, environmental agenciesGovernment agencies, environmental consultancies, urban planning firms

Spatial Data Science focuses on analyzing spatial data using advanced data science techniques, programming, and modeling. In contrast, Geospatial Analysts primarily work with GIS software to create maps and visualize spatial data. While both roles require GIS knowledge, Spatial Data Scientists often have stronger programming and statistical skills, working on complex data analysis projects, whereas Geospatial Analysts focus more on mapping and data visualization tasks.

Can data scientists make $300k?

Data scientists, including those specializing in spatial data science, can earn $300,000 or more at senior levels or in high-demand industries, especially with extensive experience, advanced skills in machine learning, and proficiency in tools like Python or R. Achieving this salary often requires working in large companies, consulting roles, or locations with high living costs, and may involve additional responsibilities or leadership positions.

What does a spatial data scientist do?

A spatial data scientist analyzes geographic data to identify patterns, trends, and relationships using tools like GIS software and programming languages such as Python or R. They develop models, visualize spatial information, and support decision-making in fields like urban planning, environmental management, or logistics.

Is GIS a high demand job?

GIS (Geographic Information Systems) professionals, including those in spatial data science, are in high demand across industries such as urban planning, environmental management, and transportation. The increasing use of spatial analysis, remote sensing, and GIS tools like ArcGIS and QGIS contributes to strong job growth and opportunities for skilled workers.

What are some typical challenges spatial data scientists face when integrating geospatial data from multiple sources?

Spatial data scientists often encounter challenges like inconsistencies in data formats, varying coordinate reference systems, and differences in spatial resolution when integrating geospatial data from multiple sources. Addressing these requires familiarity with data transformation tools and a strong understanding of spatial data standards. Additionally, ensuring data quality and managing large datasets can be complex, so attention to detail and effective use of GIS software are crucial for successful integration.
What are popular job titles related to Spatial Data Science jobs in Seattle, WA? For Spatial Data Science jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Spatial Data Science jobs in Seattle, WA look for? The top searched job categories for Spatial Data Science jobs in Seattle, WA are:
Spatial Data Science jobs near you
Infographic showing various Spatial Data Science job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $147,621 per year, or $71 per hour.
Immunology Senior Research Scientist - Spatial Transcriptomics

Immunology Senior Research Scientist - Spatial Transcriptomics

Vertex Pharmaceuticals

Seattle, WA • On-site

$124K - $186K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

Job Description
At Vertex, we invest in scientific innovation to create transformative medicines for people with serious diseases. Our growing Molecular Profiling team is seeking a Senior Scientist, Spatial Transcriptomics to provide scientific and deep technical expertise in spatial biology to support discovery, translational, and development programs. This role will be instrumental in driving mechanistic insights into disease biology, tissue microenvironments, and therapeutic response through spatial profiling of gene expression in tissue context.
The ideal candidate will bring deep expertise in spatial transcriptomics, tissue-based molecular profiling, experimental design, and data interpretation, along with strong cross-functional collaboration skills and a passion for technical innovation.
Key Duties and Responsibilities:
  • Lead the design, execution, and optimization of spatial transcriptomics studies to address key biological questions in disease-relevant tissues and model systems
  • Lead efforts to characterize tissue architecture, cellular microenvironments, cell-cell interactions, and spatial organization of biological processes
  • Generate and interpret high-quality spatial data to derive biological insights that support disease biology, target biology, mechanism of action, and biomarker strategies
  • Integrate spatial transcriptomics data with complementary datasets, including single-cell RNA-seq, proteomics, imaging, histology, and other molecular profiling approaches to enable multi-modal biological insights
  • Develop, validate, and implement robust workflows for sample preparation, assay execution, quality control, and data review
  • Evaluate and apply emerging spatial biology technologies to expand research capabilities and enable innovative scientific applications
  • Drive adoption of best practices and contribute to establishing robust spatial biology workflows and standards across the team
  • Partner closely with cross-functional teams across disease biology, pharmacology, translational medicine, biomarker sciences, bioinformatics, and clinical development to inform study design, data interpretation, and program strategy
  • Contribute to internal scientific strategy through clear communication of results, technical recommendations, and experimental insights
  • Prepare technical documentation, protocols, study summaries, and presentations
  • Mentor junior scientists and help build a collaborative, high-performing team environment

Knowledge and Skills:
  • Deep expertise in spatial transcriptomics and tissue-based molecular profiling
  • Strong understanding of transcriptomics, RNA biology, tissue architecture, and cellular heterogeneity
  • Experience with fresh frozen and FFPE tissue processing, tissue quality assessment, and assay optimization
  • Familiarity with one or more spatial biology platforms, including sequencing-based and imaging-based technologies
  • Experience integrating spatial data with single-cell, proteomic, imaging, and histologic datasets
  • Working knowledge of computational approaches for spatial data analysis, visualization, and interpretation, including proficiency in R and/or Python and familiarity with relevant analysis tools and workflows
  • Strong experimental rigor, problem-solving ability, and attention to data quality and reproducibility
  • Excellent communication skills and ability to work effectively in a matrixed, multidisciplinary environment

Education and Experience:
  • PhD in Immunology, Cell Biology, Molecular Biology, Biology, Biomedical Sciences, or related discipline with 2+ years of relevant experience; or
  • Master's degree with 6+ years of relevant experience; or
  • Bachelor's degree with 8+ years of relevant experience

Preferred Qualifications:
  • Hands-on experience with one or more spatial transcriptomics platforms (e.g., sequencing-based or imaging-based such as 10x Genomics Visium, Nanostring CosMx or similar technologies)
  • Experience with histology, immunofluorescence, image analysis, and multiplexed tissue profiling
  • Experience supporting drug discovery, translational research, or clinical biomarker development, ideally in immunology or inflammation
  • Familiarity with single-cell RNA-seq analysis and integration of multi-omics datasets
  • Experience in immunology and inflammation disease areas
  • Knowledge of spatial proteomics or broader tissue-based profiling approaches

Pay Range:
$124,200 - $186,400
Disclosure Statement:
The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.
Flex Designation:
On-Site Designated
Flex Eligibility Status:
In this On-Site designated role, you will work five days per week on-site with ad hoc flexibility.
Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time.
#LI-Onsite
Company Information
Vertex is a global biotechnology company that invests in scientific innovation.
Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

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