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Spatial Data Science Jobs in Oregon (NOW HIRING)

e184

Scientist - Endometrial Biology

Portland, OR · On-site

$37.50 - $47/hr

We operate at the intersection of biology, engineering, and computational science, building ... Analyze and interpret molecular, imaging, and functional data to generate mechanistic insight and ...

e184

Scientist - Endometrial Biology

Portland, OR · On-site

$37.50 - $47/hr

We operate at the intersection of biology, engineering, and computational science, building ... Analyze and interpret molecular, imaging, and functional data to generate mechanistic insight and ...

Varsity Tutors

High School Geography Tutor

Eugene, OR · Remote

$18 - $40/hr

Deep knowledge of physical geography, human geography, map reading and spatial analysis, climate ... Guides students through reading topographic and thematic maps, analyzing population data and ...

Varsity Tutors

High School Geography Tutor

Portland, OR · Remote

$18 - $40/hr

Deep knowledge of physical geography, human geography, map reading and spatial analysis, climate ... Guides students through reading topographic and thematic maps, analyzing population data and ...

Zillow

OR · On-site

$160K - $257K/yr

Monitor and improve deployed models based on real-world data and user feedback. * Mentor and ... Experience with geometry-heavy or spatial understanding problems, or multi-modal/sensor-fusion ...

Varsity Tutors

High School Geography Tutor

OR · Remote

$18 - $40/hr

Deep knowledge of physical geography, human geography, map reading and spatial analysis, climate ... Guides students through reading topographic and thematic maps, analyzing population data and ...

ECOnorthwest

Senior Research Analyst

Portland, OR · On-site

$123K - $123K/yr

They may possess specialized skills, such as spatial analysis or statistical analysis. This ... data and sources of information that are appropriate to assigned tasks. • Ensures that data and ...

Planet

Senior Software Engineering Manager

OR · Remote

Impact You'll Own: * Guide your team of software engineers and data scientists to deliver ... Interest in defense, intelligence or spatial imagery. #LI-REMOTE Application Deadline: May 16, 2026 ...

Lumen Technologies

Network Inventory GIS Engineer

OR · Remote

$67K - $90K/yr

Bachelor's degree in Geography, Computer Science, or a related field. 2+ years of experience in GIS ... Experience with GIS analysis, including spatial analysis, network analysis, and data visualization.

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All JobsSpatial Data Science JobsSpatial Data Science Jobs in Oregon

Spatial Data Science information

See Oregon salary details

$47K

$137.1K

$187.7K

How much do spatial data science jobs pay per year?

As of Jul 1, 2026, the average yearly pay for spatial data science in Oregon is $137,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $145,400.00 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 Oregon? For Spatial Data Science jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Spatial Data Science jobs in Oregon look for? The top searched job categories for Spatial Data Science jobs in Oregon are:
What cities in Oregon are hiring for Spatial Data Science jobs? Cities in Oregon with the most Spatial Data Science job openings:
Spatial Data Science jobs near you

Scientist - Endometrial Biology

e184

Portland, OR • On-site

$37.50 - $47/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

About us
e184 is a biotechnology research company dedicated to overcoming the limits of human biology. One of our programs in reproductive technologies develops ectogenesis - the ability to support human development outside the body - to expand reproductive freedom and redefine what is possible in medicine. Our mission is to remove the biological constraints that limit who can safely carry a pregnancy, enabling new pathways to parenthood for individuals facing medical risk, infertility, or physiological barriers to gestation.We operate at the intersection of biology, engineering, and computational science, building integrated platforms that combine advanced tissue models, adaptive culture systems, and automated experimental workflows to understand and recreate the conditions required for healthy human gestation beyond the uterus.
Role overview
As a Scientist at e184, you will lead research aimed at understanding the molecular and cellular mechanisms that govern implantation and peri-implantation development. Your work will focus on developing and applying advanced endometrial model systems to identify the signaling, structural, and physiological interactions that enable successful embryo-maternal communication.Working closely with developmental biologists, engineers, and computational scientists, you will design experiments that translate fundamental reproductive biology into experimentally testable systems that inform platform development for ex utero gestation. This is a highly hands-on role for a scientist with deep expertise in endometrial biology who is excited to apply mechanistic insight toward building next-generation reproductive technologies in a fast-paced, collaborative startup environment.
What you'll do:

  • Develop endometrial model systems: Establish, optimize, and maintain in vitro endometrial models, including primary cells, organoids, or engineered tissue systems that recapitulate peri-implantation physiology.

  • Investigate implantation mechanisms: Design and execute experiments to identify molecular pathways regulating embryo attachment, invasion, decidualization, and early maternal-fetal signaling.

  • Characterize cellular and molecular responses: Apply imaging, histology, transcriptomics, and molecular assays to evaluate endometrial receptivity, cellular differentiation, and tissue remodeling.

  • Define embryo-endometrium interactions: Develop assays to study signaling and structural interactions during implantation and early development, integrating biological findings into experimental platform design.

  • Integrate multi-modal datasets: Analyze and interpret molecular, imaging, and functional data to generate mechanistic insight and guide experimental iteration.

  • Collaborate across disciplines: Partner with embryology, bioengineering, and computational teams to translate biological findings into design requirements for experimental systems supporting early development.

Core requirements:

  • PhD in Reproductive Biology, Developmental Biology, Cell Biology, Molecular Biology, or a related field, or 5+ years of relevant academic or industry experience.

  • Demonstrated expertise in endometrial biology, implantation biology, or maternal-fetal interface research.

  • Hands-on experience with mammalian cell culture and endometrial model systems (primary cells, stromal/epithelial co-culture, or organoids).

  • Strong understanding of decidualization, endometrial receptivity, and peri-implantation developmental processes.

  • Experience designing and executing mechanistic biological experiments independently.

  • Excellent organizational skills and attention to experimental rigor.

  • Ability to work collaboratively in an interdisciplinary research environment.

  • Enthusiasm for mission-driven science within a fast-paced startup setting.

You'll stand out with:

  • Experience working with human endometrial organoids or advanced in vitro implantation models.

  • Expertise in hormone-responsive endometrial systems and decidualization assays.

  • Hands-on histology experience, including tissue processing, sectioning, staining, and microscopy-based analysis.

  • Experience with transcriptomics, single-cell sequencing, or spatial omics approaches.

  • Background studying embryo-maternal signaling pathways or early placentation.

  • Experience integrating molecular datasets with functional developmental outcomes.

  • Prior startup, translational research, or early-stage technology development experience.

Why e184?

  • Unrivaled impact: Your work directly enables technology that transforms human fertility and reproductive medicine.

  • Full-spectrum growth: Gain exposure to the entire lifecycle of discovery. From screening to mechanistic validation.

  • Best of both worlds: Experience the creative chaos of an early-stage startup with the stability of a well-capitalized company.

  • Elite collaboration: Work alongside a world-class team who are as driven as you are.

The perks:

  • Competitive salary + equity participation is considered

  • State-of-the-art facility in Portland metro area

  • Comprehensive Medical, Dental, Vision, and 401(k) with company match

  • 20 days PTO + 11 paid holidays

Disclaimer

The above job description is intended to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to be an exhaustive list of all duties, responsibilities, and skills required. Responsibilities and duties may change or be adjusted to meet the needs of the company, and additional duties may be assigned as necessary. The job description is subject to change at any time at the discretion of e184.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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