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Spatial Computing Jobs in Florida (NOW HIRING)

Caeus

Senior Visual Database Lead

Tampa, FL · On-site

$100K - $136K/yr

... Computing) group, specifically as a Lead Geospatial Engineer performing as a project leadin the development of real-time geo-spatial database content for simulation & training. Essential Duties and ...

Vantor

Software Engineer (TS/SCI)

Melbourne, FL · On-site

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators ... Experience with scientific computing, image processing, signal processing, or large-scale data ...

Maxar

Software Engineer (TS/SCI)

Melbourne, FL · On-site

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators ... Experience with scientific computing, image processing, signal processing, or large-scale data ...

Apex Informatics

Database Administrator

Tallahassee, FL · On-site

... computing environments. The candidate must be able to work as part of a team to assist in ... Experience with GIS and spatial databases Primary Job Duties/ Tasks This resource will primarily be ...

Apex Informatics

Database Administrator

Tallahassee, FL · On-site

... computing environments. The candidate must be able to work as part of a team to assist in ... Experience with GIS and spatial databases Primary Job Duties/ Tasks This resource will primarily be ...

Hut 8

Principal, Digital Delivery "BIM"

Miami, FL · On-site

... computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We are proud to offer ... spatial conflicts across architectural, structural, mechanical, electrical, and plumbing ...

Hut 8

Principal, Digital Delivery "BIM"

Miami, FL

... computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We are proud to offer ... Lead clash detection and model coordination efforts, identifying and resolving spatial conflicts ...

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Spatial Computing information

What is spatial computing?

Spatial computing refers to the use of digital technology to interact with and manipulate physical space and objects. It integrates technologies like augmented reality (AR), virtual reality (VR), sensors, and artificial intelligence to create immersive experiences that blend the digital and physical worlds. Spatial computing is used in various fields, such as gaming, architecture, healthcare, and manufacturing, to enhance visualization, collaboration, and data analysis. This technology enables users to interact with digital content as if it were part of their real environment.

What are the key skills and qualifications needed to thrive as a spatial computing specialist, and why are they important?

To excel as a Spatial Computing Specialist, a solid background in computer science, mathematics, and 3D modeling, often supported by a relevant degree or certification, is essential. Familiarity with programming languages (such as C++, Python), spatial mapping tools, AR/VR development platforms (like Unity or Unreal Engine), and sensor integration is typically required. Strong problem-solving skills, creativity, and effective cross-disciplinary communication set top professionals apart in this field. These skills are vital for developing innovative spatial computing solutions that blend digital and physical environments, driving advancements in industries such as gaming, architecture, and healthcare.

What are some common challenges spatial computing professionals face when working on cross-disciplinary teams?

Spatial computing professionals often collaborate with experts in software development, user experience design, hardware engineering, and domain specialists. A common challenge is ensuring effective communication between team members with different technical backgrounds and vocabularies. Additionally, integrating spatial data and real-world context into digital solutions requires careful coordination and iterative testing. Successful professionals are proactive in bridging knowledge gaps and fostering a shared understanding to drive project goals forward.

What is the difference between Spatial Computing vs Augmented Reality Developer?

AspectSpatial ComputingAugmented Reality Developer
Required CredentialsTypically a degree in computer science, engineering, or related fields; knowledge of 3D modeling and programmingSimilar credentials, often with specialization in AR platforms and SDKs
Work EnvironmentDesigning and developing 3D environments, often involving hardware like AR/VR headsets and sensorsCreating AR applications for mobile devices or AR glasses, often in app development environments
Industry UsageUsed across gaming, architecture, healthcare, and training for spatial interactionPrimarily in entertainment, marketing, and mobile app development sectors

While both roles involve immersive technology, Spatial Computing focuses on creating comprehensive 3D environments and interactions, whereas Augmented Reality Developers specialize in overlaying digital content onto real-world views. Understanding these differences helps in choosing the right career path or project focus within immersive tech industries.

Is spatial computing worth it?

Spatial computing is a growing field that involves developing and working with 3D environments, augmented reality, and virtual reality technologies. Careers in this area often require skills in programming, 3D modeling, and understanding of hardware platforms, making it a valuable and expanding industry for tech professionals.

What are popular job titles related to Spatial Computing jobs in Florida?

For Spatial Computing jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Spatial Computing jobs in Florida look for?

The top searched job categories for Spatial Computing jobs in Florida are:

What cities in Florida are hiring for Spatial Computing jobs?

Cities in Florida with the most Spatial Computing job openings:

Spatial Computing jobs near you
Infographic showing various Spatial Computing job openings in Florida as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Postdoc Fellow for AI, Bioinformatics, Computational Biology, and Cancer Biomarker Discovery

Tampa, FL • On-site

Statistics Interest Group
See more jobs at Statistics Interest Groupexternal

$60 - $80/hr

Other

Posted 8 days ago

Job description

Moffitt Cancer Center, Tampa , Florida, US – Postdoc Fellow for AI, Bioinformatics, Computational Biology, and Cancer Biomarker Discovery Position Title Postdoc Fellow for AI, Bioinformatics, Computational Biology, and Cancer Biomarker Discovery Company Information

The Intelligent Cancer Omics and Immuno-Oncology (ICON) Lab, led by Dr. Xuefeng Wang, within the Department of Biostatistics and Bioinformatics at the H. Lee Moffitt Cancer Center—one of the nation’s top-ranked cancer research institutes is recruiting two postdoctoral fellows focusing on AI, Bioinformatics, Cancer Omics and Biomarker Discovery.

Duties and Responsibilities

The fellow will contribute to cutting-edge projects leveraging artificial intelligence and advanced bioinformatics to drive innovation in cancer genomics and biomarker discovery. This position offers exceptional interdisciplinary training in both computational and translational oncology, providing direct access to high-performance computing infrastructure and rich collaborative resources across Moffitt's scientific community. The position is available immediately and will remain open until filled.

Position Qualifications

The Ideal Candidate:

  • Research background/experiences in artificial intelligence, bioinformatics, biostatistics/statistics, computational biology, or genomics.
  • A highly motivated and independent researcher with a strong quantitative scientific background.
  • Prior experience in cancer genomics in not required, but a strong willingness and ability to learn new fields is highly desirable.
  • Committed to producing high-quality, high-impact research and contributing to publications and grant proposals.

Responsibilities:

  • Discover and validate new predictive biomarkers using large-scale cancer omics datasets, including single-cell and spatial omics data.
  • Develop and extend computational, statistical and machine learning methods to advance cancer clinical and translational research.
  • Design and implement novel visualizing tools to facilitate interpretation of complex omics results.
  • Collaborate with clinicians and scientists across Moffitt clinical and research programs.
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