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

This position supports the analysis of spatial transcriptomic data generated from kidney biopsy ... management, data analysis and manuscript preparation to assist all levels of biomedical ...

GIS Specialist

Kirkland, WA · On-site

$50K - $95K/yr

In this role, you'll support scientific and engineering initiatives through cartography, geospatial analysis, data visualization, and spatial data management. Initially, your primary focus will be ...

In this role, you'll support scientific and engineering initiatives through cartography, geospatial analysis, data visualization, and spatial data management. Initially, your primary focus will be ...

Associate Environmental Scientist

Redmond, WA · On-site

$84K - $110K/yr

Collect, identify, and compile observational, spatial, and environmental data from samples of air ... Bachelor's Degree in Environmental Science, Ecology, Natural Resource Management, or a related life ...

Associate Environmental Scientist

Redmond, WA · On-site

$84K - $110K/yr

Collect, identify, and compile observational, spatial, and environmental data from samples of air ... Bachelor's Degree in Environmental Science, Ecology, Natural Resource Management, or a related life ...

Manage a cross-functional team of Applied Scientists and Engineers, fostering a culture of ... Strong foundation in Geospatial Information Systems (GIS) and spatial data analysis. Proven track ...

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Spatial Data Manager information

See Seattle, WA salary details

$35.3K

$110.6K

$195.7K

How much do spatial data manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for spatial data manager in Seattle, WA is $110,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,100.00 and $142,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a spatial data manager?

To excel as a Spatial Data Manager, you need expertise in geospatial data analysis, spatial database management, and a degree in geography, GIS, or a related field. Familiarity with GIS software (such as ArcGIS or QGIS), database systems (like PostgreSQL/PostGIS), and data standards is typically required. Strong organizational skills, attention to detail, and effective communication are vital soft skills for managing complex datasets and collaborating with stakeholders. These abilities ensure accurate data management, efficient workflows, and informed decision-making in organizations reliant on spatial information.

What are some common challenges spatial data managers face when maintaining large geospatial databases?

Spatial Data Managers often encounter challenges related to data quality, integration of multiple data sources, and ensuring data consistency across platforms. Managing large volumes of geospatial data requires robust organizational systems and regular data validation to prevent errors or duplication. Additionally, they must stay up-to-date with evolving GIS technologies and standards while coordinating with cross-functional teams like analysts, engineers, and project managers to support various mapping and spatial analysis needs.

What is the difference between Spatial Data Manager vs GIS Analyst?

AspectSpatial Data ManagerGIS Analyst
CredentialsBachelor's or higher in GIS, Geography, or related field; GIS certificationsBachelor's or higher in GIS, Geography, or related field; GIS certifications
Work EnvironmentData management teams, GIS departments, urban planning firmsMapping projects, spatial analysis teams, environmental agencies
Industry UsageOrganizations managing large spatial datasets, government agenciesAnalysis and visualization of spatial data for projects
Search & ComparisonFocuses on data management, database systems, and infrastructureFocuses on spatial analysis, mapping, and GIS software applications

The main difference is that a Spatial Data Manager oversees the organization, storage, and maintenance of spatial datasets, ensuring data quality and accessibility. In contrast, a GIS Analyst primarily conducts spatial analysis and creates maps using GIS software. Both roles require similar credentials but serve different functions within GIS projects.

What is a spatial data manager?

Spatial Data Managers are professionals responsible for organizing, maintaining, and overseeing spatial or geographic data within an organization. They ensure the accuracy, accessibility, and security of geospatial datasets used in mapping, analysis, and decision-making processes. Their role often involves using Geographic Information Systems (GIS), coordinating with other technical staff, and developing data management standards and protocols. Spatial Data Managers support various industries, including urban planning, environmental science, utilities, and transportation.

What are popular job titles related to Spatial Data Manager jobs in Seattle, WA?

For Spatial Data Manager jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Spatial Data Manager jobs in Seattle, WA look for?

The top searched job categories for Spatial Data Manager jobs in Seattle, WA are:

Infographic showing various Spatial Data Manager job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $110,553 per year, or $53.2 per hour.

Research Scientist/Engineer 3

Uw

Seattle, WA

Full-time

Re-posted 26 days ago


University Of Washington rating

8.2

Company rating: 8.2 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

145th of 618 rated colleges and universities


Job description

Job Description

The Division of Metabolism, Endocrinology and Nutrition (MET) has an outstanding opportunity for a Research Scientist/Engineer 3 position to support studies within the Pyle and Bjornstad Laboratories.

Housed within the University of Washington Medicine Diabetes Institute at the South Lake Union campus, the Pyle laboratory applies translationaldatascience to bridge complexbiostatistics andbioinformatics findings into medical insights. The Bjornstad and Pylelaboratories focus on metabolic and hemodynamic mechanisms underlying the development of diabetic kidney disease (DKD) and cardiovascular disease (CVD) in Type 1 (T1D) and Type 2 (T2D) diabetes and obesity.

This position is engaged in the field of Spatial transcriptomics and bioinformatics. This position supports the analysis of spatial transcriptomic data generated from kidney biopsy tissue using 10x Genomics platforms including Visium, Visium HD, and Xenium Prime 5K. The role involves processing, quality control, and interpretation of spatially resolved gene expression data to understand disease mechanisms in diabetic kidney disease and obesity-related kidney disease. A key focus includes cell type deconvolution, integration with single-cell RNA-seq reference data, identification of spatially variable genes, and pathway enrichment analysis. This position requires effective communication of results through manuscript writing and presentations at conferences. This position will work under general guidance, receiving instruction on specific assignment objectives, and will collaborate with investigators on spatial transcriptomic analyses, data visualization, and preparation of abstracts, talks, and manuscripts.

Research Sponsors/Stakeholders: Novo Nordisk and NIH

DUTIES AND RESPONSIBILITIES

Spatial Transcriptomics and Data Analysis 60%

Process and quality-control 10x Genomics Visium, Visium HD, and Xenium Prime 5K spatial transcriptomics data from human and mouse kidney tissue

Perform spatial preprocessing with Space Ranger and downstream integration across samples using Seurat and BPCells

Perform cell type deconvolution and mapping by integrating spatial data with single-cell RNA-seq reference objects using RCTD (spacexr) workflow

Identify spatially variable genes and cluster-specific markers to prioritize biological pathways and candidate genes for downstream investigation

Perform differential expression and pathway enrichment analysis using decoupleR, clusterProfiler, and GSEA

Perform image stitching and alignment using ImageJ and Loupe Browser for spatial preprocessing

Integrate multi-sample spatial datasets to enable scalable normalization, clustering, and cross-sample comparison

Develop protocol-specific systems and documents including process flows, training manuals, and Standard Operating Procedures (SOPs).

Maintain subject level documentation and prepares documents, equipment and/or supplies

Provide the biostatistical/data science expertise and leadership in study design, study oversight, data management, data analysis and manuscript preparation to assist all levels of biomedical investigators and clinicians on new research activities across a wide range of disciplines

Provide mentorship to collaborators, trainees, and team members

Acts as a subject matter expert and authority in the areas of data management and data analysis

Serve as an expert resource to PIs and other stakeholders

Bioinformatics Programming 20%

Assist with the design and development of major bioinformatics-related programming projects

Write custom scripts to access databases, analyze data, and create reproducible visual representations of results

Write custom web tools for PIs and other stakeholders

Laboratory support 20%

Collaborate on the preparation and presentation of data for publications in peer-reviewed journals, ensuring clarity and adherence to publication standards.

Assist Team Leads, Supervisors, and management in developing and implementing effective processes, procedures, and quality improvement initiatives that enhance team performance.

Develop and disseminate a variety of tools designed to access relevant clinical and sample data

Provide guidance and training to junior team members, fostering a culture of continuous learning and professional development.

Identify and analyze operational efficiency issues, communicating findings and recommendations to leadership for informed decision-making.

Proactively identify and recommend training and development opportunities for both new hires and existing team members to enhance skill sets and performance.

Provides input and feedback to leadership on team members' overall performance, opportunities for development, and process improvement initiatives

MINIMUM QUALIFICATIONS

  • Bachelor's degree in Bioinformatics, Computational Biology, Biostatistics, Data Science or a related field and four years of relevant experience.

Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.

ADDITIONAL REQUIREMENTS

Advanced knowledge of basic statistical principles relevant in medical research

Experience with spatial transcriptomics platforms (10x Genomics Visium, Visium HD, and/or Xenium)

Ability to analyze and solve complex problems and apply quantitative analytical approaches

Demonstrated fluency in one or more programming languages (e.g., R, Python, Perl, Java, C++) and willingness to learn new programming languages as necessary

Familiarity with statistical analytical concepts and methods

Ability to communicate effectively, both in writing and orally

Ability to establish and maintain effective working relationships with employees at all levels throughout the institution

Outstanding customer service skills

Demonstrated commitment and leadership ability to advance diversity and inclusion

Knowledge of basic human anatomy, physiology medical terminology

Ability to interpret and master complex research protocol information

Ability to handle multiple projects simultaneously within rigorous timelines

Potential to work independently with minimal supervision and in a team atmosphere

DESIRED QUALIFICATIONS

Experience with 10x Genomics Xenium Prime 5K spatial transcriptomics platform

Experience with single-cell RNA-seq analysis and integration with spatial data (Seurat, spacexr/RCTD)

#UWDeptMedicineJobs

Compensation, Benefits and Position Details

Pay Range Minimum:

$80,244.00 annual

Pay Range Maximum:

$132,612.00 annual

Other Compensation:

-

Benefits:

For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/

Shift:

First Shift (United States of America)

Temporary or Regular?

This is a regular position

FTE (Full-Time Equivalent):

100.00%

Union/Bargaining Unit:

UAW Research

About the UW

Working at the University of Washington provides a unique opportunity to change lives - on our campuses, in our state and around the world.

UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.

Our Commitment

The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81.

To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu.

Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law.


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