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# Assistant Professor - Biomedical AI, Spatial Multi-Omics and Cancer Data Science

- **Company:** Virginia Commonwealth University
- **Location:** United States
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Bioinformatics, Cloud Computing, Computational Biology, Computer Simulation, Data Infrastructure, Database Development, Python (Programming Language), Metadata Standards, Software Tools, Google Cloud, High Performance Computing, Large Language Models, Containerization, Information Technology, Data Management, Virtual Agents, Api Design, Software Version Control, Data Pipelines, Programming Languages
- **Published:** September 13, 2026
- **Apply:** https://jobs.theeduledger.com/company/virginia-commonwealth-university-280822/job/assistant-professor-biomedical-ai-spatial-multi-omics-and-cancer-data-science-department-of-cellular-molecular-and-genetic-medicine-in-richmond-va-vdicchxfmrr943yj4cmrhuuw8d5e0l/

## About the Role

Minimum QualificationsPhD or equivalent degree in bioinformatics, computational biology, biomedical data science, computer science, biostatistics, statistics, engineering, genomics, cancer biology, or a related fieldDemonstrated expertise in computational analysis of biomedical data, with experience in one or more areas such as spatial omics, single-cell analysis, multi-omics integration, cancer data science, biomedical AI, or translational bioinformaticsExperience developing reproducible computational pipelines using programming languages such as Python, R, Nextflow, Snakemake, or related toolsExperience with database management, data organization, metadata standards, data curation, quality control, and/or data provenanceDemonstrated ability to work effectively in highly collaborative, multidisciplinary biomedical research teamsStrong communication skills and ability to work with basic scientists, clinicians, computational scientists, trainees, and research
staffDemonstrated ability to work in and foster an environment of respect, professionalism, and civility with a population of faculty, staff, and students from all backgrounds and experiences, or a commitment to do so as a faculty member at VCUPreferred Qualifications

The candidate will have expertise in one or more of the following areas:Spatial transcriptomics, spatial proteomics, imaging-based spatial biology, single-cell genomics, or multimodal spatial multi-omicsCancer data science, tumor microenvironment analysis, cancer ecosystem modeling, immune-tumor interaction analysis, therapeutic response studies, or translational cancer researchDevelopment of scalable and reproducible pipelines for high-dimensional biomedical data analysisDatabase design, biomedical data models, metadata frameworks, data provenance, data harmonization, and long-term data stewardshipCloud computing and high-performance computing environments, including platforms such as Google Cloud, AWS, Azure, or institutional HPC systemsAI agent development, workflow automation, LLM-enabled research tools, automated data analysis systems, or AI-assisted documentation and quality controlSoftware engineering practices, version control, containerization, workflow management, API
development, and collaborative code developmentExperience contributing to collaborative grant applications, manuscripts, cancer center research programs, shared resources, or team science initiativesApplication Materials

## Description

The Department of Cellular, Molecular and Genetic Medicine seeks a full-time, 12-month, non-tenure-track Research Assistant Professor in Biomedical AI, Spatial Multi-Omics, and Cancer Data Science. This is a 100% research position focused on collaborative and team-based biomedical research, with particular emphasis on supporting cancer center projects and translational research programs.

The candidate will bring expertise in spatial multi-omics, database management, data curation and provenance, reproducible pipeline development, AI agent development, and cloud computing. The candidate will work closely with investigators across CMGM, Massey Comprehensive Cancer Center, and the broader School of Medicine to develop, implement, and maintain computational infrastructure for high-impact biomedical and cancer research.

Duties & Responsibilities:

Research: 100%

Contribute to collaborative biomedical and cancer research projects through the development and application of computational methods, data infrastructure, and AI-enabled research workflows.

Responsibilities include developing and maintaining reproducible pipelines for spatial transcriptomics, spatial proteomics, single-cell multi-omics, imaging, and related biomedical data types; designing data management systems that support data curation, metadata tracking, provenance, quality control, and reproducibility; supporting database development and integration for large-scale cancer and molecular medicine datasets; and implementing cloud-based computing workflows for scalable analysis and collaboration.

The candidate will also contribute to AI-enabled research infrastructure, including AI agents for data analysis, workflow automation, documentation, quality control, and reproducible biomedical discovery. The successful candidate will collaborate with faculty, clinicians, trainees, and research staff; contribute to manuscripts, grant applications, presentations, and reports; and help ensure that computational workflows are rigorous, transparent, scalable, and reusable across collaborative research programs.