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Spatial Data Jobs in Michigan (NOW HIRING)

... and spatial transcriptomics, ATAC-seq) and quantitative imaging (including confocal microscopy ... Analyze and interpret data using appropriate computational/statistical approaches; maintain ...

In this role, you will provide spatial and graphical interpretation of environmental analytical data, including but not limited to contaminant maps, geophysical maps and potentiometric and other ...

Provide spatial and graphical interpretation of environmental analytical data, including but not limited to contaminant maps, geophysical maps, and potentiometric and other surface maps * Manage ...

They will be writing complex SQL statements including spatial queries using Oracle's SDO_Geometry data type. They will be using Data Definition Language (DDL) and Data Manipulation Language (DML) to ...

Senior Software Engineer - Core

Detroit, MI · Remote

$121K - $159K/yr

This is a broad, hands-on role working across the full depth of our platform, including building data replay infrastructure for system validation, aggregating traffic data over spatial and temporal ...

This role directly supports data-driven actions taken across the business to have a positive impact ... spatial modeling, forecasting and/or econometric time series models. * Experience working in a ...

Our work spans method development, data generation (snRNA-seq, snATAC-seq, MPRA, spatial omics), and integrative analysis at scale, and we work closely with collaborators across the diabetes research ...

... spatial transcriptomics, neurophysiology, and advanced computational approaches. The lab is ... omic data analysis. Candidates should possess strong technical expertise in mammalian sleep ...

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Spatial Data information

See Michigan salary details

$38.8K

$113.1K

$154.7K

How much do spatial data jobs pay per year?

As of Jun 22, 2026, the average yearly pay for spatial data in Michigan is $113,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $119,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Spatial Data Analyst, and why are they important?

To excel as a Spatial Data Analyst, you need a strong background in geography, GIS, data analysis, and a relevant degree such as geography, environmental science, or computer science. Proficiency in GIS software (e.g., ArcGIS, QGIS), spatial databases (like PostGIS), and programming languages such as Python or R is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this field. These competencies are essential for accurately interpreting spatial data, generating actionable insights, and effectively sharing findings with stakeholders.

What are some typical challenges faced by spatial data analysts when working with large geospatial datasets?

Spatial data analysts often encounter challenges related to data quality and integration when working with large geospatial datasets. Issues such as inconsistent data formats, missing metadata, and varying spatial resolutions can complicate analysis. Additionally, managing the computational load of processing and visualizing large, complex datasets may require specialized software and robust hardware. Collaborating closely with GIS specialists, IT teams, and data engineers helps to address these challenges and ensure reliable results.

What is the difference between Spatial Data vs GIS Analyst?

AspectSpatial DataGIS Analyst
Required CredentialsGIS certifications, degrees in geography, GIS, or related fieldsGIS certifications, degrees in geography, GIS, or related fields
Work EnvironmentData collection, database management, mapping softwareData analysis, map creation, spatial problem-solving
Employer & Industry UsageUsed by GIS professionals, urban planners, environmental agenciesEmployed in government, consulting firms, environmental organizations
Search & Comparison IntentUnderstanding data types, data managementAnalyzing spatial data, creating maps, reports

Spatial Data refers to the raw geographic information used in mapping and analysis, while a GIS Analyst actively interprets, analyzes, and visualizes this data to support decision-making. Both roles require similar credentials and are integral to GIS projects, but Spatial Data is the foundational information, whereas GIS Analysts focus on applying that data to solve spatial problems.

What is spatial data?

Spatial data, also known as geospatial data, refers to information about the physical location and shape of objects on Earth. This data is usually stored as coordinates and topology and can represent features such as buildings, roads, rivers, or even entire countries. Spatial data is used in mapping, geographic information systems (GIS), urban planning, environmental studies, and various other fields to analyze locations, patterns, and relationships. It can be stored in formats like vector (points, lines, polygons) or raster (grids, images). Understanding spatial data is essential for making informed decisions based on geographic information.
What job categories do people searching Spatial Data jobs in Michigan look for? The top searched job categories for Spatial Data jobs in Michigan are:
Research Fellow - Bradburd Lab

Research Fellow - Bradburd Lab

University of Michigan

Ann Arbor, MI • On-site

$63K/yr

Full-time

Posted 23 days ago


University Of Michigan rating

8.1

Company rating: 8.1 out of 10

Based on 140 frontline employees who took The Breakroom Quiz

132nd of 539 rated colleges and universities


Job description

How to Apply
Review of applications will begin immediately and continue until the position is filled. Interested candidates should submit a PDF of their CV along with a cover letter describing their qualifications and relevant experience to Gideon Bradburd ( [email protected] ).
Job Summary
We are currently seeking applicants for an NIH-funded postdoc position in the Bradburd lab in the Department of Ecology and Evolutionary Biology at the University of Michigan. Research in the lab is focused on the geography of evolution, and particularly on developing statistical methods for spatial population genetics/genomics. The focus of this postdoc will be on the application of Ancestral Recombination Graphs (ARGs) for spatial population genetic inference.
Our work combines computational and statistical approaches, with a strong emphasis on simulation and empirical data analysis. The position is ideal for someone with training in statistical, theoretical, or computational population genetics, and/or someone with a strong background in evolution, mathematical biology, statistics, or computing, and an interest in population genetics.
Required Qualifications*
  • A Ph.D. is required in a biology discipline
  • Relevant background includes any of: evolutionary genetics, phylogeography, landscape genetics/genomics, computational biology, statistics, applied mathematics, population modeling, evolutionary or ecological theory, computer science, etc.

Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes .
Additional Information
This position is a one-year term-limited position with the possibility of renewal based upon performance, funding, and availability of work.
The selected candidate can expect a starting salary of $63,480 per year, and is eligible for a wide range of University benefits.
The ideal start date is Fall 2026, but that date can be flexible for the right candidate.
The Bradburd lab values diversity and is committed to creating a safe, welcoming, supportive, and fun lab environment. Applications from candidates with related scientific interests who are also passionate about diversity, equity, and inclusion in STEM are strongly encouraged. The lab is located in the beautiful Museum of Natural History building on University of Michigan's campus. Ann Arbor is consistently rated as one of the most "live-able" cities in the country.
Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
Application Deadline
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled any time after the minimum posting period has ended.
U-M EEO Statement
The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.
Job Detail
Job Opening ID
278232
Working Title
Research Fellow - Bradburd Lab
Job Title
RESEARCH FELLOW
Work Location
Ann Arbor Campus
Ann Arbor, MI
Modes of Work
Onsite
Full/Part Time
Full-Time
Regular/Temporary
Regular
FLSA Status
Exempt
Organizational Group
College Of Lsa
Department
LSA Ecology & Evolutionary Bio
Posting Begin/End Date
6/16/2026 - 6/30/2026
Salary
$63,480.00 - $63,480.00
Career Interest
Research Fellows

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About University of Michigan

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The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

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Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

Year founded

1817

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