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Spatial Statistics Jobs in California (NOW HIRING)

Doist

Data Scientist

Fairfield, CA · On-site

$140 - $190/hr

Design and develop statistical, geospatial, and machine learning models that improve underwriting performance and portfolio management. * Analyze spatial, exposure, catastrophe, and loss data to ...

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Spatial Statistics information

See California salary details

$40K

$82.6K

$115.5K

How much do spatial statistics jobs pay per year?

As of Aug 17, 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?

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 does a spatial statistics professional do?

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 key skills and qualifications needed to thrive in the spatial statistics position?

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 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
Infographic showing various Spatial Statistics job openings in California as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $82,561 per year, or $39.7 per hour.

Senior Scientist, Bioinformatics

Kenai Therapeutics

San Diego, CA

$140K - $155K/yr

Full-time

Re-posted 17 days ago

Job description

Kenai Therapeutics is seeking a skilled and versatile computational biologist to join our highly collaborative, multidisciplinary, and dynamic team advancing next-generation allogeneic cell therapies for neurological diseases. As Senior Scientist of Bioinformatics, the ideal candidate will drive computational analysis and pipeline development across CMC and research programs. This candidate brings scientific rigor, deep hands-on expertise in single-cell and multiomics analysis, and a strong foundation in statistics and machine learning to generate actionable insights that inform therapeutic decision-making. This role requires exceptional technical skills, a proven ability to communicate complex findings across scientific disciplines, and a desire to thrive in a small, fast-moving organization where flexibility and initiative are essential.

Key Responsibilities:

  • Design, implement, and maintain scalable, reproducible pipelines for single-cell RNA-seq, spatial transcriptomics, and integrative multiomics data analysis, from raw data through biological interpretation
  • Apply statistical modeling and machine learning approaches to large-scale omics datasets to identify biomarkers, characterize cellular heterogeneity, and aid process development
  • Leverage AI-based tools and platforms to accelerate research workflows, automate analyses, and enhance software development productivity
  • Perform complex data interpretation across modalities (scRNA-seq, genomics, spatial omics, proteomics) and translate findings into actionable insights for programs and leadership
  • Partner closely with manufacturing and research teams to align computational efforts with therapeutic objectives and program priorities
  • Contribute to data infrastructure strategy, supporting robust systems for data storage, integration, traceability, and long-term analytics
  • Communicate results effectively through internal presentations, and cross-functional meetings; distill complex analyses into clear narratives for diverse audiences.

Requirements

  • Ph.D. in bioinformatics, computational biology, genomics, statistics, or a related quantitative discipline with 3+ years of relevant industry experience
  • Self-motivated, hardworking, and adaptable
  • Strong foundation in statistics and machine learning, including supervised and unsupervised methods, dimensionality reduction, and model evaluation
  • Deep hands-on experience with single-cell analysis frameworks (e.g., Scanpy, Seurat, scVI) and associated workflows across the full analytical lifecycle
  • Strong proficiency in Python and R for data analysis, visualization, and pipeline development; Javascript experience is a plus
  • Demonstrated experience supporting drug discovery and development programs with computational and bioinformatic analyses
  • Proficiency in utilizing AI and large language model-based tools for research acceleration and software development
  • Excellent written and verbal communication skills, including the ability to present complex technical work to both computational and non-computational audiences
  • Strong team player with a collaborative mindset and a commitment to working in a small, tight-knit, and high-performing team environment

Preferred

  • Background in neuroscience, developmental biology, or related areas of disease biology
  • Experience in cell therapy research, manufacturing analytics, or related cell-based therapeutic modalities
  • Familiarity with spatial transcriptomics platforms (e.g., 10x Visium, Xenium, MERFISH) and integrative multiomics approaches
  • Track record of scientific contributions evidenced by peer-reviewed publications, patents, or conference presentations

Benefits

Kenai Therapeutics is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

The salary range for this position is $140,000 USD to $155,000 USD annually. This salary range is an estimate, and the actual salary may vary based on experience and/or the Company's compensation practices.

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