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Spatial Scientist Jobs in California (NOW HIRING)

Esri

Spatial Data Engineer I

Redlands, CA · On-site

$115K - $138K/yr

As a Spatial Data Engineer on the geocoding team, you will work with massive spatial data from both ... Bachelor's degree in computer science, information systems, GIS, or related field Recommended ...

Caltech

Research Scientist

Pasadena, CA · On-site

Teach graduate students and post-docs how to prepare and run spatial, single-cell, and companion ... Apply mature scientific knowledge of best practices, protocols, and sound wet-bench molecular ...

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How much do spatial scientist jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for spatial scientist in California is $44.17, according to ZipRecruiter salary data. Most workers in this role earn between $29.42 and $55.55 per hour, depending on experience, location, and employer.

What does a spatial scientist do?

Spatial Scientists commonly work on collecting, analyzing, and interpreting geospatial data using GIS and remote sensing technologies. Their daily tasks often include mapping land use or environmental changes, validating data accuracy, conducting spatial modeling, and preparing technical reports or presentations for stakeholders. They may also collaborate with engineers, urban planners, ecologists, or government agencies to support projects such as natural resource management, urban development, or disaster response planning. This role frequently involves both fieldwork and office-based data analysis, offering a dynamic and intellectually engaging work environment.

What skills and qualifications are needed to be a spatial scientist?

To thrive as a Spatial Scientist, you need a strong background in geography, geospatial analysis, and data interpretation, usually supported by a relevant degree such as geography, environmental science, or GIS. Proficiency in geographic information systems (GIS) software like ArcGIS or QGIS, as well as familiarity with remote sensing tools and certifications in GIS, are highly valuable. Strong analytical thinking, attention to detail, problem-solving ability, and effective communication skills distinguish successful spatial scientists. These competencies enable accurate spatial data interpretation, effective collaboration with multidisciplinary teams, and robust support for decision-making across various industries.

What is a spatial scientist?

A Spatial Scientist analyzes spatial data to study relationships, patterns, and trends in geographic and environmental systems. They use Geographic Information Systems (GIS), remote sensing, and other spatial technologies to collect, interpret, and visualize data. Their work supports decision-making in fields like urban planning, environmental management, and natural resource conservation. They often collaborate with government agencies, researchers, and private organizations to solve spatial problems and optimize land use.

How much do spatial scientists make?

Spatial scientists typically earn a median annual salary of around $70,000 to $90,000, depending on experience, education, and location. Advanced skills in GIS software, data analysis, and remote sensing can lead to higher compensation, especially in specialized or senior roles.
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Spatial Scientist jobs near you
Infographic showing various Spatial Scientist job openings in California as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $91,882 per year, or $44.2 per hour.

Scientist 2-Spatial Biology and Biophysics

10x Genomics

Pleasanton, CA • On-site

$39.25 - $49.25/hr

Other

Re-posted 18 days ago

Job description

About the role:

We are looking for an exceptional, multidisciplinary scientist to drive new research and product development efforts in our Spatial Biology department. The ideal candidate will have a proven track-record in molecular biology and biophysics with extensive experience designing and working with biomolecule imaging platforms (including 10x Genomics Xenium). This position necessitates a deep understanding of molecular biology as you will be applying your skills and knowledge to optimize and evaluate new assays in the area of spatial transcriptomics. Additionally, this role will require you to interact closely with colleagues in several departments including computational biology, software, engineering and microfluidics. You should have a strong analytical background, be driven by developing revolutionary new products and technologies, and enjoy working in a fast-paced, innovative and truly multi-disciplinary environment.

What you will be doing:

The successful candidate will contribute molecular biology and biophysics expertise and leadership to cross-disciplinary product development teams to ensure project milestones and technological specifications are met.
Design and execute experiments using novel imaging and biochemistry platforms integral to various spatial technology platforms under development at 10x Genomics. This includes in-depth analysis and reporting of your data through documentation and presentations to internal groups.
Work closely with computational biologists and optical engineers to interpret data generated by novel optical and biochemical assays.
Develop demonstrated and robust protocols that will be used internally across various teams during product development.

Minimum Requirements:

  • PhD in Molecular Biology, Biophysics, Physical Chemistry or related field.
  • 3+ years of relevant experience in situ hybridization, imaging and spatial techniques, preferably in the Biotechnology industry.
  • Proven ability to design novel molecular biology assay schemes, as evidenced by peer-reviewed publications or published patents.
  • Strong analytical background
  • Strong organizational skills.
  • Strong written and oral communication skills.
  • Strong troubleshooting and problem solving skills.
  • Ability to work in a fast-paced and quickly changing environment.
  • Desire to build game-changing technologies and impact the world of life science research.


Preferred Skills and Experience:

  • Experience with the 10x Genomics Xenium platform is a plus.
  • Fluency in R, Python or AI-aided coding to perform ad-hoc analysis is a plus.
  • Skills in image analysis are a plus.

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