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Spatial Analyst Jobs in Pennsylvania (NOW HIRING)

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... Perform regular quality control checks of spatial and non-spatial datasets to ensure data integrity

Overview As one of the world's leading analytical instrumentation companies, Bruker covers a broad ... In support of the Bruker Spatial Biology objectives, this role must exhibit drive, passion, and a ...

Overview As one of the world's leading analytical instrumentation companies, Bruker covers a broad ... In support of the Bruker Spatial Biology objectives, this role must exhibit drive, passion, and a ...

Perform standard spatial analysis such as buffering, intersects, selections, etc. * Work with minimum supervision and assist other technicians as needed. * Interface directly with the field as needed ...

Perform standard spatial analysis such as buffering, intersects, selections, etc. * Work with minimum supervision and assist other technicians as needed. * Interface directly with the field as needed ...

Showing results 21-40

Spatial Analyst information

See Pennsylvania salary details

$31.1K

$73.4K

$130.3K

How much do spatial analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for spatial analyst in Pennsylvania is $73,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,600.00 and $87,200.00 per year, depending on experience, location, and employer.

How does a spatial analyst typically collaborate with other departments on large-scale projects?

Spatial Analysts often work closely with teams such as urban planning, environmental science, engineering, and IT to integrate geographic data into broader project goals. They translate complex spatial datasets into actionable insights, ensuring that maps, models, and analyses align with the needs of each department. Regular meetings and cross-functional workshops are common, where Spatial Analysts present findings, address technical questions, and adapt their analyses based on feedback. This collaborative environment helps ensure that spatial data supports decision-making across the organization.

What is the difference between Spatial Analyst vs GIS Technician?

AspectSpatial AnalystGIS Technician
Required CredentialsBachelor's in Geography, GIS, or related field; GIS certificationsAssociate's or Bachelor's in GIS, Geography, or related field; GIS certifications
Work EnvironmentField and office; analysis and data modelingOffice-based; data entry and map creation
Employer & Industry UsageGovernment agencies, environmental firms, urban planningMunicipalities, engineering firms, GIS service providers
Common Search & Comparison IntentUnderstanding GIS analysis rolesEntry-level GIS data work

While both roles work within GIS environments, Spatial Analysts focus on complex spatial data analysis and modeling, often requiring advanced skills and certifications. GIS Technicians typically handle data entry, map creation, and basic GIS tasks. The roles complement each other, with Spatial Analysts providing in-depth analysis and GIS Technicians supporting data management and visualization.

Is a spatial analyst a good career?

A spatial analyst is a professional who uses geographic information systems (GIS) and spatial data to analyze and interpret spatial patterns. The role offers opportunities in sectors like urban planning, environmental management, and transportation, often requiring skills in GIS software and data analysis. It can be a stable and rewarding career for those interested in geography and technology.

Is GIS analyst an entry level job?

A GIS analyst is often an entry-level position that requires basic knowledge of geographic information systems, spatial data analysis, and proficiency with tools like ArcGIS or QGIS. However, some roles may prefer candidates with relevant internships, certifications, or a degree in geography, GIS, or related fields.

What are the key skills and qualifications needed to thrive as a spatial analyst?

To thrive as a Spatial Analyst, you need a strong background in geography, GIS (Geographic Information Systems), data analysis, and spatial statistics, typically supported by a relevant degree. Proficiency with tools like ArcGIS, QGIS, Python, and remote sensing software, as well as certifications such as Esri Technical Certification, are commonly required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting spatial data and presenting findings to stakeholders. These skills are vital for delivering accurate spatial insights that inform decision-making across various industries.

Is a spatial analyst in demand?

Yes, spatial analysts are in demand due to the increasing use of geographic information systems (GIS) across industries such as urban planning, environmental management, and transportation. Employers seek professionals skilled in GIS software, spatial data analysis, and mapping to support decision-making and infrastructure development.
What are popular job titles related to Spatial Analyst jobs in Pennsylvania? For Spatial Analyst jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Spatial Analyst jobs in Pennsylvania look for? The top searched job categories for Spatial Analyst jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Spatial Analyst jobs? Cities in Pennsylvania with the most Spatial Analyst job openings:
Infographic showing various Spatial Analyst job openings in Pennsylvania as of August 2026, with employment types broken down into 85% Full Time, 7% Part Time, 1% Temporary, and 7% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $73,437 per year, or $35.3 per hour.

Post Doctoral.Post Doctoral.Associate

University of Pittsburgh

Pittsburgh, PA โ€ข On-site

$47K - $64K/yr

Full-time

Re-posted 13 days ago


Job description

We are seeking a highly motivated postdoctoral fellow with strong training in molecular and cellular biology to lead mechanistic studies focused on host responses to biomaterials used in female pelvic reconstructive surgery.

Our laboratory develops and evaluates advanced graft materials - including polypropylene meshes, 3D elastomeric membranes, and regenerative extracellular matrix scaffold - across translational models ranging from rodents to nonhuman primates. Experimental platforms include engineered 3D biochambers and microfluidic systems that recapitulate physiologic tissue environments. The lab also has access to well-annotated human tissue samples and biorepositories, enabling direct comparison between preclinical models and human biology.

The successful Candidate will design and execute hypothesis-driven studies to define how matrix properties regulate cellular behavior, immune activation, and tissue remodeling following implantation. Areas of focus include signaling pathways, transcriptional regulation, and mechanotransduction in stromal and immune cell populations.

Approaches include:

  • Primary cell culture and co-culture systems (fibroblasts, smooth muscle cells, immune populations)
  • Immunohistochemistry and high-resolution imaging with spatial analysis
  • Flow cytometry and cell sorting for immune and stromal phenotyping
  • Functional assays (proliferation, apoptosis, migration, matrix production)
  • Multi-omic profiling (scRNA-seq, ATAC-seq, spatial transcriptomics) with integrative analysis

The fellow will be expected to contribute to both experimental design and quantitative analysis of high-dimensional datasets (experience in R or Python preferred). Ongoing collaborations with engineering and computational groups provide opportunities to incorporate microfabrication, modeling, and AI-based approaches for data integration and predictive analysis.

This position offers a rigorous research environment with strong emphasis on mechanistic biology, access to large-animal models, and direct linkage to human tissue studies. The Candidate will be supported in developing an independent research program, including first-author publications and preparation of career development funding applications. Early PhD is required.