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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 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.

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.
Spatial Computing jobs near you
Faculty Position - Department of Computational Biology

Faculty Position - Department of Computational Biology

St. Jude Children's Research Hospital

Memphis, TN • On-site

Full-time

Posted yesterday

St. Jude Children's Research Hospital rating

8.4

Company rating: 8.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

61st of 994 rated hospitals

Job description

SJCRH
Be the force behind the cures. From analyzing complex biomedical data in pediatric cancer to creating innovative technologies and computational tools, your work at St. Jude can directly impact patient care.
The Department of Computational Biology invites applications for Assistant/Associate/Full Member (faculty) positions in, but not limited to, the following areas:
A - Omics Technologies
We seek a computational technology innovator to develop next generation omics platforms for pediatric biology and diseases. Areas of interest include RNA biology (splicing/fusions), CRISPR functional genomics (CRISPRi/a, Perturb seq, combinatorial screens), single cell and spatial omics, metabolomics, and immunopeptidomics. The successful candidate will pioneer assay-algorithm co design, demonstrate cross disciplinary leadership and lead reproducible & open science
B - AI in Biomedicine
We seek an AI-first scientist to build foundation models and agentic AI tools spanning DNA/RNA/protein/imaging/spatial/EHR data for pediatric precision medicine. Topics include regulatory genomics foundation models, multimodal tissue/cell models (WSI + spatial + single-cell), proteogenomic/neoantigen prediction, computational pathology (WSI modeling, slide-omics fusion) and clinical informatics, plus trustworthy AI (calibration, uncertainty, drift monitoring). Candidates should have a record of impactful methods/tools, experience with clinical informatics pipelines, and a commitment to safe, reproducible, clinic-ready AI. Experience building LLM-driven, agentic systems for automated analysis or experiment planning with appropriate guardrails is highly valued.
Environment & Resources
The Department occupies 28,700 square feet of laboratory and office space. Investigators have dedicated shared resources for large-scale data analysis and functional validation, including priority access to cloud computing, a local high-performance computing facility housed in a state-of-the-art data center, a genomics laboratory for developing new omics technologies and assays, a wet lab supporting dry-lab faculty, and an software engineering team for high-throughput analysis and pipeline automation. The Department is key in multiple completed and ongoing institutional projects, including Pediatric Cancer Genome Project (PCGP), St. Jude Cloud, PedDep Accelerator, Real Time Clinical Genomics, iTARGETS, and COMET. The research environment at St. Jude is highly collaborative, with opportunities across basic and clinical departments and access to institution-wide core facilities led by PhD-level scientists.
Compensation & Appointment
We offer highly competitive packages, including generous startup funds, computing resources, equipment, laboratory space, personnel support, and potential institutional support beyond the start-up phase.
Appointments at the Assistant or Associate or Full Member level will be considered.
Qualifications
  • PhD (or equivalent) with at least three years of relevant postgraduate experience, or a demonstrated track record of developing novel, high-impact computational methods.
  • For Area A: evidence of assay-algorithm co-design in RNA/CRISPR/single-cell/spatial/metabolomics.
  • For Area B: experience with foundation models, multimodal learning, clinical NLP, and trustworthy AI; familiarity with clinical informatics.

How to Apply
Please submit the following directly via the online application:
(1) a curriculum vitae, (2) a 2-3 page summary of research interests, and (3) the names of three references
For more information, contact ComputationalBiologyRecruitment@stjude.org.
St. Jude is an Equal Opportunity Employer
No Search Firms
St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

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