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Spatial Statistics information

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$40K

$82.6K

$115.5K

How much do spatial statistics jobs pay per year?

As of Jun 13, 2026, the average yearly pay for spatial statistics in California is $82,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $114,500.00 per year, depending on experience, location, and employer.

What is a Spatial Statistics job?

A Spatial Statistics job involves analyzing and interpreting spatial data to identify patterns, relationships, and trends across geographic space. Professionals in this field use statistical techniques, geographic information systems (GIS), and data modeling to support decision-making in areas such as environmental science, urban planning, public health, and transportation. They work with large datasets, apply geostatistical methods, and create visual representations like maps and heatmaps. Common roles include spatial data analyst, GIS specialist, and environmental statistician.

What job makes $10,000 a month without a degree?

In the field of spatial statistics, high-paying roles such as freelance consultants or data analysts can earn around $10,000 per month through specialized skills in geographic information systems (GIS), statistical software, and data modeling. These positions often require expertise and experience rather than formal degrees, and they may involve remote work or contract-based projects.

What are the key skills and qualifications needed to thrive in the Spatial Statistics position, and why are they important?

To thrive in a Spatial Statistics role, you need a solid background in advanced mathematics, statistical modeling, and spatial data analysis, typically with a degree in statistics, geography, or a related quantitative field. Familiarity with GIS software (e.g., ArcGIS, QGIS), statistical programming languages (such as R or Python), and spatial databases is essential, and certifications in GIS or data science can be advantageous. Strong problem-solving skills, effective communication, and attention to detail enable you to interpret complex data and collaborate with multidisciplinary teams. These skills are crucial for analyzing geospatial patterns, presenting actionable insights, and supporting data-driven decision-making across various industries.

What jobs in the US pay 300,000 a year?

In the field of spatial statistics, senior roles such as lead data scientist or chief data officer can reach or exceed a $300,000 annual salary, especially with extensive experience, advanced skills in GIS software, and a strong understanding of statistical modeling. High-level positions in data-driven industries like technology, finance, or government agencies tend to offer such compensation levels.

What does a spatial analyst do?

A spatial analyst uses geographic information systems (GIS) and spatial data to analyze patterns, relationships, and trends in geographic space. They create maps, models, and reports to support decision-making in fields like urban planning, environmental management, and transportation. Proficiency in GIS software and spatial statistics is essential for this role.

Is GIS a high demand job?

GIS (Geographic Information Systems) specialists, including those with skills in spatial statistics, are in high demand across industries such as urban planning, environmental management, and transportation. The growing use of spatial data analysis and GIS tools like ArcGIS and QGIS contributes to strong job opportunities and career growth in this field.

What are some typical projects or tasks a Spatial Statistics professional might handle on a daily basis?

Spatial Statistics professionals often work on projects involving the collection, analysis, and interpretation of location-based data to identify patterns, trends, and relationships within geographic spaces. Daily tasks can include cleaning and integrating spatial datasets, developing statistical models, running geospatial analyses, and creating maps or visualizations to communicate findings. Collaboration with urban planners, environmental scientists, data scientists, or public health professionals is common to solve real-world problems using spatial insight. The work environment can be a blend of independent data analysis and teamwork, and many positions offer opportunities for growth into project management, advanced analytics, or GIS leadership roles.

What are the most commonly searched types of Spatial Statistics jobs in California? The most popular types of Spatial Statistics jobs in California are:
What are popular job titles related to Spatial Statistics jobs in California? For Spatial Statistics jobs in California, the most frequently searched job titles are:
What job categories do people searching Spatial Statistics jobs in California look for? The top searched job categories for Spatial Statistics jobs in California are:
Spatial Statistics jobs near you
Director, Molecular Pathology, Translational Sciences, Translational Research.

Director, Molecular Pathology, Translational Sciences, Translational Research.

Revolution Medicines

Redwood City, CA • Hybrid

Other

Posted 16 days ago

Job description

The Opportunity:

As a Director, Molecular Pathology, you will be a key member of a cross-functional Translational Sciences Team, reporting to the Senior Director and Head of Translational Sciences within Translational Research and will:

  • Biomarker Strategy: Define and execute molecular and digital pathology-driven biomarker strategies.

  • Integration of Advanced Modalities: Lead adoption of molecular pathology and spatial technologies (to support translational research and broader BDR needs.

  • Digital & Computational Pathology: Drive implementation of whole-slide imaging, AI/ML-based image analysis, and integration of spatial biomarker analytics into decision-making.

  • Data Interpretation & Reporting: Provide expert interpretation of pathology data, ensuring robust correlation with clinical outcomes and mechanistic insights.

  • Cross-functional Leadership: Collaborate with Translational Medicine, Bioinformatics, and Clinical Development colleagues to implement candidate biomarkers into Translational Biomarker plans for RAS(ON) inhibitors in alignment with overarching clinical development strategies.

Responsibilities

  • Scientific Leadership & Execution: Perform and interpret multiplex spatial biomarker datasets to inform Translational hypotheses and clinical strategies. Establish QC standards for data acquisition and analysis.

  • Cross-Functional Collaboration: Partner within Research and Clinical teams to integrate spatial biomarker findings into translational plans. Collaborate with Systems Biology and Information Sciences teams to enable visualization tools

  • External Partnership Management: Serve as primary scientific liaison to CROs for spatial biomarker workflows; review deliverables, troubleshoot issues, and drive continuous improvement.

  • Capability Building: Document best practices and SOPs for spatial biomarker workflows; recommend platform upgrades and pilot evaluations.

Required Skills, Experience & Education:

  • 10+ years in digital pathology/spatial biology within pharma, biotech, or CRO settings.

  • Scientific Expertise: Deep knowledge of spatial biology (e.g. spatial transcriptomics, Visium, Xenium, GeoMx, MerFish, etc.); ability to translate complex data into actionable insights

  • Execution Excellence: Bias for action; delivers high-quality analyses under tight timelines

  • Collaboration & Influence: Builds strong relationships across functions and with external partners; communicates clearly and persuasively.

  • Innovation & Continuous Improvement: Identifies opportunities to enhance workflows and adopt emerging technologies.

  • PhD/MD or equivalent in Cancer Biology, Translational Sciences, Pathology or related discipline.


Preferred Skills:

  • Hands-on experience with spatial pathology workloads.

  • Familiarity with AI/ML-assisted pathology workflows and spatial statistics.

  • Proven ability to manage CRO relationships and deliver time-sensitive biomarker analyses.

#LI-Hybrid  #LI-LN1

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