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Spatial Data Science Jobs (NOW HIRING)

Collaborate closely with bioinformatics and data science partners to ensure that data formats and ... Hands-on experience with spatial biology platforms (such as CosMx or comparable systems), including ...

As Data Science organization, our goal is to harness the power of user data to help Maps make great ... spatial data analysis Prior proven industry experience with large data sets using technologies like ...

Data Scientist II

Madison, WI · On-site +1

$80K/yr

Document data sources, workflows, dashboards, and spatial data assets * Support data governance ... Independently identifies and implements appropriate data science techniques to find data patterns ...

Data Scientist

Rosemont, IL · On-site

$99K - $124K/yr

Use the most effective machine learning techniques to answer data science questions, define data ... Exposure to Geo Spatial Data, Demography Data * Experience with SQL Development, Stored Procedures ...

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a ... spatial data, and the relative impact of manual versus automated edits. Individual pay is ...

We're seeking a Data Scientist who combines technical expertise with strong interpersonal skills to ... science, physics, or a STEM related field Recommended Qualifications * Experience with spatial and ...

Showing results 21-40

Spatial Data Science information

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$44.5K

$129.7K

$177.5K

How much do spatial data science jobs pay per year?

As of Aug 25, 2026, the average yearly pay for spatial data science in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 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 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 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.

What does a spatial data scientist do?

A spatial data scientist analyzes geographic data to identify patterns, relationships, and trends 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, and logistics.
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Cities with the most Spatial Data Science job openings:

What states have the most Spatial Data Science jobs?

States with the most job openings for Spatial Data Science jobs include:

What job categories do people searching Spatial Data Science jobs look for?

The top searched job categories for Spatial Data Science jobs are:

Infographic showing various Spatial Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Senior Scientist - Spatial Biology

Seattle, WA

Actalent
5 - 10K employees

$104K - $142K/yr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

Job Title: Senior Scientist – Spatial Biology (Fixed-Term Contract)

Job Description

This fixed-term Senior Scientist role focuses on applying advanced spatial multi-omic platforms to clinical FFPE tissue specimens in support of a strategic pharmaceutical collaboration. The position centers on novel immuno-oncology mechanism discovery, with a particular emphasis on characterizing T-cell states and TCR engagement within the tumor microenvironment. The scientist will own the full experimental pipeline, from tissue processing and assay execution through data generation, quality control, and delivery of analysis-ready datasets. This is a hands-on, execution-focused role for an experienced spatial biologist who can operate independently within a defined project timeline and deliverable schedule over a 29-week contract.

Responsibilities

  • Execute spatial multi-omic assays on FFPE tissue specimens following established standard operating procedures, adapting protocols as needed to address tissue-specific challenges.
  • Own end-to-end sample processing, including tissue quality control and triage, coordination of sectioning, staining, probe hybridization, and instrument run setup.
  • Perform single-cell spatial data generation across imaging cycles, ensuring robust data capture and consistency throughout the workflow.
  • Conduct real-time quality control of assays and instrument performance, promptly flagging, troubleshooting, and resolving technical issues.
  • Curate, quality-check, and package datasets for delivery to internal stakeholders and external collaborators within agreed timelines.
  • Maintain clear chain-of-custody and version control for all datasets and deliverables to ensure traceability and data integrity.
  • Maintain detailed experimental records, including run logs, QC reports, protocol deviations, and troubleshooting documentation.
  • Communicate progress, data quality issues, and key results clearly and promptly to project leads and cross-functional teams through verbal updates and written reports.
  • Collaborate closely with bioinformatics and data science partners to ensure that data formats and metadata meet downstream analysis requirements.
  • Handle and maintain biological specimens, including BSL-2 tissues, in strict compliance with institutional biosafety requirements.
  • Work closely with internal R&D teams and the collaborator’s research group to align experimental execution with project goals and timelines.
  • Operate independently in a hands-on wet-lab environment, managing multiple experiments and deliverables against a defined project schedule.

Essential Skills

  • PhD in bioengineering, biomedical engineering, biophysics, chemical biology, cancer biology, or a related discipline with 3+ years of post-graduate experience.
  • Hands-on experience with spatial biology platforms (such as CosMx or comparable systems), including direct wet-bench operation rather than analysis-only work.
  • Strong background in FFPE tissue processing, including preparation, handling, and optimization for spatial assays.
  • Demonstrated expertise in in situ hybridization techniques applied to tissue specimens.
  • Proficiency in immunohistochemistry and immunofluorescence methods for tissue-based assays.
  • Working knowledge of tumor immunology and T-cell biology, including familiarity with the tumor microenvironment.
  • Experience with fluorescence microscopy and multi-cycle or multiplexed imaging workflows.
  • Proven ability to independently execute, troubleshoot, and perform quality control on complex assays against defined delivery timelines.
  • Strong written and verbal communication skills, with the ability to present data and findings to both scientific and program-management audiences.
  • Ability to work on-site to perform wet-lab activities and operate instruments in alignment with hybrid schedule requirements.
  • Experience maintaining detailed laboratory records, including run logs, QC documentation, and deviation reports.
  • Demonstrated capability to manage chain-of-custody and version control for experimental datasets.

Additional Skills & Qualifications

  • Experience working with clinical tissue specimens, particularly in immuno-oncology research contexts.
  • Familiarity with T-cell receptor engagement and characterization of T-cell states within the tumor microenvironment.
  • Comfort collaborating with cross-functional teams, including R&D scientists, program managers, and external partners.
  • Experience supporting strategic collaborations or partnered research projects with defined milestones and deliverables.
  • Ability to adapt and refine SOPs for spatial multi-omic assays based on tissue-specific or project-specific requirements.
  • Experience coordinating closely with bioinformatics or data science teams to align experimental outputs with downstream analytical needs.
  • Strong organizational skills and attention to detail in managing multiple samples, experiments, and timelines in a fast-paced environment.

Work Environment*

The role is primarily laboratory-based, with responsibilities split between wet bench work and quality control documentation. The scientist will work on-site to perform FFPE tissue processing, staining, probe hybridization, and operation of spatial multi-omic platforms and fluorescence microscopy systems. The environment involves handling BSL-2 biological specimens in compliance with institutional biosafety standards and following established SOPs and documentation practices. Work is conducted within a hybrid schedule framework that requires on-site presence for wet-lab and instrument activities, complemented by time dedicated to data curation, QC reporting, and collaboration with cross-functional teams. The position operates within a collaborative research setting focused on immuno-oncology and spatial biology, with clear project timelines, structured deliverables, and regular communication with internal and external stakeholders.

Job Type & Location

This is a Contract position based out of Seattle, WA.

Pay and Benefits

The pay range for this position is $65.00 - $85.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully onsite position in Seattle,WA.

Application Deadline

This position is anticipated to close on Aug 31, 2026.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.


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About Actalent

Sourced by ZipRecruiter

Actalent connects passion with purpose. Our scalable talent solutions and services capabilities drive value and results and provide the expertise to help our customers achieve more. Every day, our experts around the globe are making an impact. We're supporting critical initiatives in engineering and sciences that advance how companies serve the world. Actalent promotes consultant care and engagement through experiences that enable continuous development. Our people are the difference. Actalent is an operating company of Allegis Group, the global leader in talent solutions.

Company size

5,001 - 10,000 Employees

Headquarters location

Hanover, MD, US

Year founded

1983

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