... and cytokine profiling, spatial and multiplex imaging, Flow cytometry/CyTOF. * Support ... computing environments. Contribute to translational data infrastructure and data governance ...
... and cytokine profiling, spatial and multiplex imaging, Flow cytometry/CyTOF. * Support ... computing environments. Contribute to translational data infrastructure and data governance ...
Principal Bioinformatician
Somerset, NJ · On-site
... and cytokine profiling, spatial and multiplex imaging, Flow cytometry/CyTOF. * Support ... R and/or Python programming, Linux/Unix computing environments, Workflow management systems (e.g ...
Principal Bioinformatician
Somerset, NJ · On-site
... and cytokine profiling, spatial and multiplex imaging, Flow cytometry/CyTOF. * Support ... R and/or Python programming, Linux/Unix computing environments, Workflow management systems (e.g ...
Product Specialist 4 - JAVA/Oracle
Trenton, NJ · On-site
$51.25 - $66.25/hr
We provide these services in multiple computing environments and use technologies such as client ... Mapping Previous implementations using ESRI, version 9 or higher, Geo Spatial Web Services for ...
Product Specialist 4 - JAVA/Oracle
Trenton, NJ · On-site
$51.25 - $66.25/hr
We provide these services in multiple computing environments and use technologies such as client ... Mapping Previous implementations using ESRI, version 9 or higher, Geo Spatial Web Services for ...
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 is the difference between Spatial Computing vs Augmented Reality Developer?
| Aspect | Spatial Computing | Augmented Reality Developer |
|---|---|---|
| Required Credentials | Typically a degree in computer science, engineering, or related fields; knowledge of 3D modeling and programming | Similar credentials, often with specialization in AR platforms and SDKs |
| Work Environment | Designing and developing 3D environments, often involving hardware like AR/VR headsets and sensors | Creating AR applications for mobile devices or AR glasses, often in app development environments |
| Industry Usage | Used across gaming, architecture, healthcare, and training for spatial interaction | Primarily 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.
What job categories do people searching Spatial Computing jobs in New Jersey look for? The top searched job categories for Spatial Computing jobs in New Jersey are:
Other
Posted 16 days ago
Job description
Legend Biotech is seeking a Principal Bioinformatician as part of the Early Drug Development team based in Somerset, NJ or Remotely.
Role Overview
This role is to support translational strategies across pipeline development programs. He/She will lead computational analyses integrating multi-modality clinical, and biomarker datasets to enable mechanism-of-action understanding, patient stratification, pharmacodynamic assessment, etc. to support translational decision-making.
Key Responsibilities
- Translational Biomarker Analysis with multi-modality and multi-omics assays such as Bulk and Single cell RNA-seq, TCR/BCR-seq, WGS/WES, Amplicon-seq, ATAC-seq, ctDNA/liquid biopsy, Proteomics and cytokine profiling, spatial and multiplex imaging, Flow cytometry/CyTOF.
- Support translational biomarker discovery and validation including identification of pharmacodynamic (PD), predictive, prognostic, and response biomarkers; integrated analyses correlating biomarker data with: Clinical outcomes, PK/PD measurements, Safety for Patient stratification and Mechanism-of-action hypotheses.
- Build and maintain reproducible and scalable bioinformatics pipelines using cloud or high-performance computing environments. Contribute to translational data infrastructure and data governance strategies. Ensure analysis reproducibility, traceability, and documentation compliance. Ensure analysis reproducibility, traceability, and documentation compliance.
- Partner closely with Translational scientists, Clinical Development, Research and CMC teams, CROs and collaborators to help translate complex computational findings into biologically meaningful insights.
- Contribute to regulatory documentation required biomarker sections of INDs, IBs, Clinical study reports and Regulatory briefing documents.
- He/she has the authority to make decisions related to methodologies and approaches development processes. He/she can make decisions related to project execution, including timelines, milestones and resource allocation within budget. Higher-level approvals are required for those related to significant technical selection, budget allocations, strategic shifts, or major collaborations that have substantial scientific, financial or long-term implications.
Requirements
- PhD (5+ years) or MS (8+ years) in Bioinformatics, Computational Biology, Genomics, Systems Biology and related quantitative biological sciences.
- Strong expertise in bioinformatics, statistics with some biological training background, with experience in translational research in oncology, immunology or autoimmune disease. Gene and cell therapy involvement is a plus.
- Strong experience with: R and/or Python programming, Linux/Unix computing environments, Workflow management systems (e.g., Snakemake, Nextflow, WDL) with Cloud platforms (AWS, GCP, Azure) preferred
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