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Spatial Scientist Jobs (NOW HIRING)

Vibrant Planet

Sr. Fire Scientist

Work directly with software engineers, spatial wildfire analysts, and product leads to operationalize fire science. Ensure that Pyrologix's risk engine is accurately deployed within the Vibrant ...

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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Spatial Scientist information

What are some typical daily tasks and responsibilities of a Spatial Scientist?

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

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 the highest paying job in space science?

In space science, senior roles such as aerospace engineers, astrophysicists, and mission directors tend to have the highest salaries, often exceeding $150,000 annually. Executive positions in space agencies or private aerospace companies, such as chief scientists or program managers, can earn significantly higher compensation, especially with advanced degrees and extensive experience.

What is the highest paying job in GIS?

The highest paying roles in GIS often include GIS Managers, Geospatial Directors, and senior GIS consultants, with salaries exceeding $100,000 annually. These positions typically require advanced skills, leadership experience, and proficiency with GIS software like ArcGIS or QGIS, along with relevant certifications. Senior roles in industries such as defense, government, and large tech firms tend to offer the highest compensation.

What is a Spatial Scientist job?

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.

What is a spatial scientist?

A spatial scientist analyzes geographic data to understand spatial patterns and relationships. They often use GIS (Geographic Information Systems) tools and spatial analysis techniques to support decision-making in fields like urban planning, environmental management, and transportation. Strong skills in data analysis, cartography, and programming are typically required.

Is GIS a high demand job?

GIS (Geographic Information Systems) professionals, including spatial scientists, are in high demand across industries such as urban planning, environmental management, and transportation due to the increasing reliance on spatial data analysis. Employers seek candidates with skills in GIS software, spatial data management, and analysis, often requiring certifications or degrees in related fields. The job outlook is strong, with growth driven by the need for location-based decision-making and data-driven solutions.
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Spatial Scientist jobs near you
Infographic showing various Spatial Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 91% Full Time, 5% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.
Principal Scientist, Bioinformatics

Principal Scientist, Bioinformatics

Nkarta, Inc.

South San Francisco, CA • Hybrid

Other

Posted yesterday

Job description

Overview

Nkarta is seeking a highly motivated, collaborative, detail-oriented Principal Scientist to join our Translational Medicine team. This is a high-impact, hands-on leadership role for a senior bioinformatics scientist. The successful candidate will have deep expertise in single-cell and spatial omics technologies, along with experience in functional genomics and leading computational biology and/or bioinformatics programs in a biotech or pharmaceutical setting.

This individual will work collaboratively within Translational Medicine and cross-functionally to advance, support, and execute biomarker discovery, mechanism-of-action (MOA) investigations, and translational data analysis from clinical samples. A central focus of this role is to drive and execute on Nkarta's strategy for single-cell and spatial transcriptomics, leveraging scRNA-seq, spatial, and functional genomics approaches to drive translational insights, biomarker development, and clinical decision-making in early development.

Responsibilities

  • Lead and actively participate in the design and execution of computational strategies and hands-on analysis of clinical and biological datasets to support go/no-go decisions
  • Hands-on development and application of computational methods for single-cell and spatial transcriptomics to generate actionable translational insights from clinical samples
  • Establish scalable pipelines for multi-modal data integration across programs
  • Integrate and analyze functional genomics datasets (e.g., bulk RNA-seq) to generate mechanistic insights that inform translational and clinical strategies
  • Provide high-impact analyses with direct influence on clinical decision-making and visibility to senior leadership
  • Collaborate with senior leadership to define priorities, allocate resouces, and establish timelines aligned with company objectives
  • Partner with experimental scientists to design studies leveraging advanced omics approaches and interpret results
  • Ensure reproducibility, scalability, and data quality across bioinformatics pipelines
  • Communicate complex findings effectively to scientific and non-scientific stakeholders, including senior leadership

Qualifications

  • Deep expertise in single-cell and spatial transcriptomics analysis, including scRNA-seq and related high-dimensional omics datasets
  • Strong experience analyzing functional genomics and transcriptomic data (e.g., bulk RNA-seq, WES) to derive biological and translational insights
  • Strong foundation in biological sciences, with experience or interest in immunology and disease biology
  • Deep understanding of modern statistical and computational methods for high-dimensional data analysis
  • Proficiency in Python and/or R, with experience using relevant bioinformatics frameworks
  • Experience developing and maintaining scalable data analysis pipelines and working with cloud-based infrastructure (e.g., AWS)
  • Excellent communication and presentation skills, with the ability to influence cross-functional stakeholders and translate complex data into clear, actionable insights
  • Demonstrated experience managing external CROs and bioinformatics vendors
  • Proven leadership experience, including mentoring and developing scientific teams
  • Strong cross-functional collaboration skills and ability to translate computational insights into biological and clinical impact
  • Ability to work both independently and collaboratively in a fast-paced environment, with strong organizational skills and attention to detail

Education/Background

  • PhD in Biological Sciences, Computational Biology, Biostatistics, Bioinformatics, Genomics, or a closely related discipline with 5+ years of industry experience.

The common requirements of an office environment (computers, computer screens, workstations, etc.) apply. This role is based in the South San Francisco office, with hybrid work arrangements possible.

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