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Professional Spatial Statistics Jobs (NOW HIRING)

CSS, Inc

GIS Analyst

Chevy Chase, MD · On-site

... that conducts spatial ecological analysis, statistical modeling, ecological forecasting, and ... professional experience. * Experience with data preparation, data management, workflows ...

Apply Early

CSS, Inc

GIS Analyst

Chevy Chase, MD · On-site

... that conducts spatial ecological analysis, statistical modeling, ecological forecasting, and ... professional experience. * Experience with data preparation, data management, workflows ...

CSS, Inc

GIS Analyst

Silver Spring, MD · On-site

... that conducts spatial ecological analysis, statistical modeling, ecological forecasting, and ... professional experience. * Experience with data preparation, data management, workflows ...

Wood Plc

Senior Project Manager (LSRP)

Hamilton, NJ · On-site

Candidate must be a New Jersey Licensed Site Remediation Professional (LSRP) Responsibilities ... Strong quantitative skills, proficiency with Microsoft Office applications, and spatial/statistical ...

City of Philadelphia

Lead GIS Analyst

Philadelphia, PA

Query, analyze and prepare statistics on spatial and non-spatial data using GIS, SQL, Python and ... Four years of relevant professional experience required. Baccalaureate degree from an accredited ...

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City of Philadelphia

Lead GIS Analyst

Philadelphia, PA · On-site

Query, analyze and prepare statistics on spatial and non-spatial data using GIS, SQL, Python and ... Four years of relevant professional experience required. Baccalaureate degree from an accredited ...

State of Arkansas

STATE GIS ANALYST

Little Rock, AR · On-site

$66K - $108K/yr

Conduct predictive and statistical spatial modeling, spatial overlays, network analysis, and other ... professional development.Design, produce, and customize high-quality maps and visual ...

Esri

... spatial data analytics. We serve customers across diverse domains including natural resources ... Professional experience with practical machine learning experience or relevant academic/lab work

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Professional Spatial Statistics information

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$40.5K

$83.7K

$117K

How much do professional spatial statistics jobs pay per year?

As of Jul 1, 2026, the average yearly pay for professional spatial statistics in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is the difference between Professional Spatial Statistics vs Geospatial Analyst?

AspectProfessional Spatial StatisticsGeospatial Analyst
Required CredentialsMaster's or PhD in Statistics, Geography, or related field; GIS certificationsBachelor's or Master's in Geography, GIS, or related field; GIS certifications
Work EnvironmentResearch-focused, data analysis, modeling, and statistical interpretationMapping, data collection, GIS software application, and spatial data management
Employer & Industry UsageAcademic, research institutions, government agencies, environmental organizationsUrban planning, environmental consulting, government agencies, private GIS firms

Professional Spatial Statistics primarily involves advanced statistical analysis and modeling of spatial data, often requiring higher-level degrees and a focus on data interpretation. Geospatial Analysts focus on mapping, GIS data management, and spatial data visualization. While both roles work with spatial data, their core responsibilities and skill sets differ, making them distinct but related careers in the geospatial industry.

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Professional Spatial Statistics jobs near you
Postdoctoral Associate - The Getz Lab

Postdoctoral Associate - The Getz Lab

Broad Institute of MIT and Harvard

Cambridge, MA • On-site

Full-time

Posted 3 days ago

Job description

Job Summary:
The Broad Institute of MIT and Harvard is a leading laboratory for cancer genome analysis. They are seeking a highly motivated researcher to lead computational analysis projects exploring mechanisms underlying disease initiation and progression in multiple myeloma, particularly focusing on spatial multi-omics data.
Responsibilities:
• Play a lead role in designing and executing data analysis strategies to support research projects, especially pertaining to spatial multiomics-omics data.
• Serve as a lead in the project, driving the project's scientific vision, identifying key biological questions and spearheading the computational strategies necessary to address them.
• Explore and develop tools for analyzing novel data types.
• Develop new spatial and genomic analysis methodologies for integrating data and predicting tumor outcome, subtypes, molecular mechanisms, and response to therapy.
• Conceive, implement and test statistical models; analyze data from experiments.
• Present results to a variety of audiences, including non-computational researchers.
• Prepare written reports (e.g., manuscripts, grants, patents) and presentations for meetings.
• Opportunity to teach and mentor junior team members.
Qualifications:
Required:
• A PhD in Bioinformatics, Computer Science, Machine Learning, Engineering, Mathematics, Statistics, Physics, or a related quantitative discipline.
• 0-1+ years of post-graduate experience.
• Experience with computational analysis, algorithm development, and statistics.
• Sufficient hands on experience in methods to analyze spatial multi-omic data is required; experience in analyzing data from other emerging technologies is a plus.
• Familiarity with a wide variety of bioinformatic analyses, including analyses of data from single-cell RNA sequencing (scRNA-seq), immune BCR/TCR sequencing, and bulk- and single-cell whole-genome sequencing (WGS)
• Proficiency in at least one modern programming language.
• Demonstrated experience with conducting rigorous and reproducible research in a fast-paced environment.
• Highly collaborative, with ability able to work on projects alongside fellow bioinformaticians, wet-lab experimentalists, and clinicians.
• Strong oral and written communication skills.
• Fast learner, analytical thinker, creative, hands-on, team-player.
Preferred:
• Experience with a scientific programming environment (such as Python, R, or Matlab) is preferred.
• Background in machine learning or biology is a plus.
• Knowledge of cancer genomics is a plus but is NOT required. Inclination to acquire such knowledge is imperative.
Company:
The Broad Institute brings together a diverse group of individuals from across its partner institutions — undergraduate and graduate students, postdoctoral fellows, professional scientists, administrative professionals, and academic faculty. Founded in 2003, the company is headquartered in Cambridge, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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