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Spatial Ai Jobs in Tennessee (NOW HIRING)

Vanderbilt University

Program Manager

Nashville, TN · On-site

Develop novel AI models for remote sensing applications * Survey geospatial research and teaching needs on campus * Recruit new collaborative geospatial projects * Manage the Spatial Analysis ...

New

Varsity Tutors

Architecture Tutor

Murfreesboro, TN · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Ability to explain spatial design, building codes, environmental design strategies, and ...

Varsity Tutors

CogAT Tutor

Memphis, TN · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching pattern recognition, analogical reasoning, and spatial visualization strategies ...

Varsity Tutors

AP Human Geography Tutor

Chattanooga, TN · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of geographic thinking and spatial concepts, population and migration patterns ...

Varsity Tutors

Architecture Tutor

Nashville, TN · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Ability to explain spatial design, building codes, environmental design strategies, and ...

Varsity Tutors

CogAT Tutor

Kingsport, TN · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching pattern recognition, analogical reasoning, and spatial visualization strategies ...

Varsity Tutors

High School Geography Tutor

Kingsport, TN · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of physical geography, human geography, map reading and spatial analysis, climate ...

Varsity Tutors

AP Human Geography Tutor

Memphis, TN · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of geographic thinking and spatial concepts, population and migration patterns ...

Varsity Tutors

CogAT Tutor

Knoxville, TN · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching pattern recognition, analogical reasoning, and spatial visualization strategies ...

Varsity Tutors

CogAT Tutor

Chattanooga, TN · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching pattern recognition, analogical reasoning, and spatial visualization strategies ...

Varsity Tutors

AP Human Geography Tutor

Murfreesboro, TN · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of geographic thinking and spatial concepts, population and migration patterns ...

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Spatial Ai information

What is Spatial AI?

Spatial AI refers to artificial intelligence systems designed to perceive, understand, and interact with the physical world in real time by processing spatial data. It combines elements of computer vision, 3D mapping, and sensor fusion to enable machines to interpret and respond to their environment, commonly used in robotics, augmented reality, and autonomous vehicles. Spatial AI technologies help machines understand objects, spaces, and movement, allowing for more advanced navigation and interaction within complex environments.

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

To excel as a Spatial AI Engineer, you need a solid background in computer vision, machine learning, and spatial data analysis, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools such as Python, TensorFlow, OpenCV, GIS software, and experience with 3D data processing are commonly required, along with relevant certifications in AI or spatial technologies. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that help bridge technical solutions and real-world applications. These skills enable the development of innovative AI-driven spatial solutions that are accurate, efficient, and effectively meet organizational or client needs.

How does a spatial AI specialist typically collaborate with cross-functional teams on large-scale projects?

Spatial AI specialists often work closely with data scientists, software engineers, and domain experts to develop and deploy intelligent spatial solutions. Their role involves integrating geospatial data with machine learning models, requiring frequent communication to align on project objectives, data requirements, and deployment strategies. Collaboration is key, especially when interpreting spatial data outputs for non-technical stakeholders and adapting models based on feedback from end users. Strong teamwork skills help ensure that spatial insights are actionable and support broader organizational goals.

What is the difference between Spatial Ai vs GIS Analyst?

AspectSpatial AiGIS Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and spatial data processingRequires degree in geography, GIS, or related field; certifications like GISP are common
Work EnvironmentTech-focused, often in software development or data science teamsGovernment agencies, environmental firms, urban planning departments
Industry UsageEmerging in industries leveraging AI for spatial data analysisEstablished in mapping, urban planning, environmental management
Search & Comparison IntentUnderstanding AI-driven spatial analysis rolesTraditional GIS data analysis and mapping roles

Spatial Ai focuses on applying artificial intelligence to spatial data, often involving machine learning and advanced algorithms. GIS Analysts primarily work with geographic information systems to analyze and visualize spatial data. While both roles handle spatial data, Spatial Ai emphasizes AI integration, whereas GIS Analysts focus on traditional GIS tools and methods.

What are popular job titles related to Spatial Ai jobs in Tennessee? For Spatial Ai jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Spatial Ai jobs in Tennessee look for? The top searched job categories for Spatial Ai jobs in Tennessee are:
What cities in Tennessee are hiring for Spatial Ai jobs? Cities in Tennessee with the most Spatial Ai job openings:
Spatial Ai jobs near you

Postdoctoral Research Associate - Geeleher Lab (dry lab)

St. Jude Children's Research Hospital

Memphis, TN • On-site

Full-time

Posted 11 days ago

St. Jude Children's Research Hospital rating

8.6

Company rating: 8.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

40th of 1,055 rated hospitals

Job description

The Geeleher Lab tightly integrates computational/AI-based analysis of high-throughput genomics datasets (e.g. single-cell / spatial genomics, functional screens) with wet-bench experimental work. We ultimately aim to improve outcomes for children with cancer, with a particular focus on neuroblastoma and other high-risk pediatric solid tumors. Our hybrid wet-dry lab has led publications in journals including Nature, Genome Biology, the Journal of the National Cancer Institute, and Nature Communications, and is supported by NIH funding, including R01 (NCI renewal recently scored 1st percentile) and R35 awards, as well as institutional funding from ALSAC.
We are seeking a dry-lab postdoctoral scientist to lead computational and AI/ML-driven efforts to identify therapeutic target pairs from atlas-scale pediatric single-cell and spatial transcriptomic datasets. We are particularly interested in developing AI- and agent-based approaches to nominate cell-surface antigen combinations for emerging dual-targeted and logic-gated therapeutic strategies, including AND-gated bispecific antibody-drug conjugates and logic-gated cellular therapies. Pediatric cancers are especially well suited to these approaches because many are driven by aberrant developmental or ectopic transcriptional programs that generate highly disease-selective cell states. However, systematic efforts to identify and prioritize such target pairs at scale remain very limited, creating substantial scope for discovery. Our integrated wet-dry lab is particularly well positioned to move prioritized candidates through experimental validation and preclinical development, with the goal of unlocking new therapeutic strategies for children with cancer.
Examples of recent representative papers led by dry-lab scientists in our lab (listed as first author), with strong ML/AI components include:
https://www.biorxiv.org/content/10.64898/2026.03.04.709438v2
https://link.springer.com/article/10.1186/s13059-024-03309-4
https://www.cell.com/cell-genomics/fulltext/S2666-979X(24)00368-9
https://academic.oup.com/nar/article/50/14/e80/6583238
https://www.nature.com/articles/s41467-025-66223-8
We also routinely publish tightly integrated wet-lab/computational studies, with recent first authorships by Geeleher Lab members, including:
https://www.nature.com/articles/s41467-021-26640-x
https://www.nature.com/articles/s41467-023-43134-0
https://www.nature.com/articles/s41467-025-57185-y
The candidate will be strongly supported in their career objectives, regardless of whether their goals are academic or industry, and will be supported in writing grants/fellowships if they are interested in the academic faculty path.
This position is located in Memphis, TN (100% on-site position), and relocation assistance is available. Salary and benefits follow the (highly competitive) St. Jude postdoctoral compensation scale (www.stjude.org/postdoc).
Position Responsibilities:
  • Lead independent computational/AI research projects focused on identifying and prioritizing candidate targets for emerging bispecific therapeutic strategies in pediatric cancers.
  • Develop AI and agent-based workflows integrating large-scale single-cell, spatial transcriptomic, bulk genomic, functional-genomic, and pharmacologic datasets to nominate disease-selective vulnerabilities and target combinations.
  • Nominate disease-selective cell-surface antigens and antigen combinations based on malignant-cell specificity, co-expression, spatial localization, normal-tissue expression, targetability, and therapeutic rationale.
  • Work closely with wet-lab scientists to design follow-up validation studies and interpret experimental results in the context of large-scale datasets.
  • Generate publication-quality analyses, figures, and visualizations, and contribute to study design, data interpretation, and project strategy.
  • Lead projects toward publication, including drafting manuscripts, preparing methods and results sections, and responding to reviewer comments.
  • Present research findings at lab meetings, institutional seminars, collaborative meetings, and scientific conferences.
  • Mentor junior lab members and contribute to a collaborative wet-dry lab environment.

Special Skills, Knowledge, and Abilities:
  • Strong background in quantitative/computational biology or a related field.
  • Very strong commitment to rigor and scientific integrity.
  • Proficiency in a major programming language used for data analysis, such as R or Python.
  • Experience with single-cell or spatial transcriptomic analysis is desirable.
  • Experience with machine learning, LLMs, AI agents, multimodal data integration, or automated biological interpretation workflows is desirable but not required.
  • Ability to rapidly learn, optimize, and implement new or advanced techniques as required by the evolving research direction.
  • Experience leading or substantially driving a complex research project (evidenced by e.g. a first author paper or similar tangible contribution).
  • Scientific writing skills, including experience contributing to or drafting manuscripts.
  • Experience in pediatric cancer is desirable but not required.
  • Strong written and spoken English, presentation, and communication skills.

Minimum Education and/or Training:
  • Ph.D. degree or equivalent in Computational Biology, Genetics/Genomics, Bioinformatics, Computer Science, Mathematics, Physics, or related field.

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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