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Spatial Analyzer Jobs in Michigan (NOW HIRING)

City of Pontiac

GIS Analyst

Pontiac, MI · On-site

$55K - $96K/yr

GIS Analyst FLSA Status: Full Time, Exempt Pay Grade: M-10 SUPERVISION Supervision Received ... Display spatial relationships and linear networks * Collaborate with Planning & Zoning Division ...

Trilon Group

G.I.S.

Houghton, MI

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 ...

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Spatial Analyzer information

What are the typical challenges faced by a Spatial Analyzer when working with large and complex datasets?

Spatial Analyzers often work with massive geospatial datasets that require careful organization, quality control, and advanced analytical techniques. One common challenge is ensuring data accuracy and consistency across multiple sources, which may involve cleaning and standardizing data formats. Additionally, handling the computational demands of processing and visualizing large datasets can require familiarity with specialized GIS software and high-performance computing resources. Collaborating with other team members, such as GIS technicians and project managers, is essential to ensure that analyses align with project goals and client needs.

What is a Spatial Analyzer?

A Spatial Analyzer is a professional who uses specialized software and measurement tools to analyze, model, and interpret spatial data, often for purposes such as surveying, construction, manufacturing, or scientific research. They work with three-dimensional data to ensure accuracy in positioning and alignment of objects or structures. Spatial Analyzers help industries maintain quality control and optimize processes by providing precise spatial measurements and analysis. Their work often involves using laser trackers, coordinate measuring machines (CMMs), and other advanced metrology technologies.

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

To thrive as a Spatial Analyzer, you need strong analytical skills in spatial data interpretation, a background in geography or related fields, and proficiency in spatial statistics. Familiarity with GIS software (such as ArcGIS or QGIS), spatial databases, and possibly certifications like GISP are typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for this role. These skills enable accurate spatial analysis, clear data visualization, and actionable insights that support informed decision-making in various industries.

What is the difference between Spatial Analyzer vs Geospatial Technician?

AspectSpatial AnalyzerGeospatial Technician
Required CredentialsGIS or surveying certifications, technical trainingGIS certifications, associate degree or technical training
Work EnvironmentSurveying sites, GIS offices, construction projectsGIS labs, field data collection, mapping projects
Industry UsageSurveying, civil engineering, constructionUrban planning, environmental management, mapping

While both roles involve GIS and spatial data, Spatial Analyzer focuses on advanced data analysis and surveying applications, often requiring specialized certifications. Geospatial Technicians primarily handle data collection, mapping, and basic analysis. The roles overlap in industry and work environment but differ in technical complexity and responsibilities.

What are popular job titles related to Spatial Analyzer jobs in Michigan? For Spatial Analyzer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Spatial Analyzer jobs in Michigan look for? The top searched job categories for Spatial Analyzer jobs in Michigan are:
What cities in Michigan are hiring for Spatial Analyzer jobs? Cities in Michigan with the most Spatial Analyzer job openings:
Spatial Analyzer jobs near you
Infographic showing various Spatial Analyzer job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 7% Part Time, 3% Contract, and 2% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
Assistant Scientist / Assistant Professor - Computational Biology

Assistant Scientist / Assistant Professor - Computational Biology

Henry Ford Medical Group

Detroit, MI • On-site

Other

Re-posted 29 days ago

Job description

Henry Ford Health

Henry Ford Health (HFH) in Detroit, Michigan, is one of the nation's leading comprehensive health systems, recognized for excellence in clinical care, research, and education. The Center for Cutaneous Biology and Immunology (CCBI) is a dynamic, multidisciplinary research program dedicated to advancing our understanding of skin biology and immunology, cancer immunology, and the functional genomics that govern immune cell behavior in cancer as well as autoimmune and inflammatory diseases. Our team fosters an innovative, collaborative, diverse, and open-minded research environment in partnership with Michigan State University. We are supported by multiple NIH-funded grants and active communities of immunologists, molecular biologists, biochemists, data scientists, physician scientists, and computational biologists. Our mission is to advance translational research that leads to meaningful improvements in clinical care.

Position Description

We invite applications for an Assistant Professor / Assistant Scientist with expertise in computational biology, statistical genetics, genomics, and AI-driven medicine. We seek a highly motivated individual who develops and applies state-of-the-art computational methods to complex, large-scale biological datasets. The successful candidate will contribute to high-impact translational research programs and lead independent research efforts, and will hold a joint faculty appointment (Assistant Scientist) with Michigan State University as part of the HFH-MSU Health Sciences partnership.

Key Responsibilities

  • Develop and apply computational, statistical, and AI/ML approaches to analyze diverse biological datasets, including:
    • GWAS, whole-genome/exome sequencing
    • DNA methylation and epigenomic profiling
    • Bulk and single-cell RNA-seq, spatial transcriptomics
    • ATAC-seq (bulk and single-cell), proteomics, CyTOF, and IMC
    • Histological and radiological imaging data
    • Clinical and epidemiological datasets
  • Lead independent research projects and contribute to collaborative team science initiatives.
  • Pursue external funding (e.g., NIH, NSF, foundations) to support research programs.
  • Mentor trainees and collaborate closely with investigators across HFH and Michigan State University.

Required Qualifications

  • PhD in biostatistics, bioinformatics, computational biology, computer science, or a related discipline.

  • Strong research track record in genetics, multi-omics integration, and/or AI applications to biological or clinical data, as demonstrated by peer-reviewed publications and conference presentations.

  • Demonstrated ability-or strong potential-to secure external research funding.

  • Proficiency in programming and analytical languages/platforms (e.g., R, Python, TensorFlow, PyTorch).

  • Experience working in Unix/Linux environments, including shell scripting (Bash, awk, sed).

  • Familiarity with tools for genomic, epigenomic, transcriptomic, and proteomic analysis, including next-generation sequencing pipelines (DNA-seq, RNA-seq, ATAC-seq, ChIP-seq).

  • Experience with single-cell and spatial transcriptomics, eQTL/pQTL analysis, and multimodal data integration.

  • Familiarity with imaging analytics (e.g., spatial transcriptomics, H&E, IMC, radiological imaging).

  • Experience in human subjects research, healthcare data, epidemiology, or biomedical applications.

  • Excellent communication, interpersonal, organizational, and collaborative skills, with the ability to work effectively with colleagues of diverse technical and scientific backgrounds.

How to Apply:

Please submit your CV, cover letter, and research statement (past accomplishments, current work, and future research vision) to:

Dr. Qing-Sheng Mi, MD, PhD

Director, Center for Cutaneous Biology and Immunology (CCBI)

Email: qmi1@hfhs.org

Equal Employment Opportunity/Affirmative Action Employer

Henry Ford Health is committed to the fair and equitable treatment of all individuals and prohibits discrimination based on race, color, creed, religion, age, sex, national origin, disability, veteran status, marital or family status, gender identity, sexual orientation, height, weight, genetic information, or any other protected category in accordance with federal and state laws.

Additional Information
  • Organization: Henry Ford Medical Group
  • Department: Dermatology - New Center Det
  • Shift: Day Job
  • Union Code: Not Applicable

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