AI Research Scientist at VCU Massey Comprehensive Cancer Center

The Bioinformatics Shared Resource at Massey Comprehensive Cancer Center is seeking an AI Research Scientist to develop and deploy advanced machine learning, deep learning, and large language model solutions for cancer research. The ideal candidate will combine strong bioinformatics expertise with full-stack development and HPC/cloud deployment experience and will help expand AI-enabled research capabilities in support of Massey's Data to Discovery initiative.

The Bioinformatics Shared Resource at Massey Comprehensive Cancer Center is seeking a highly motivated AI Research Scientist to strengthen the cancer center's capabilities in artificial intelligence and to accelerate the use of AI across cancer research.

The successful candidate will work at the intersection of artificial intelligence, bioinformatics, and software engineering to develop, adapt, fine-tune, and deploy machine learning, deep learning, large language models, and biomedical foundation models for cancer-focused applications. The position will support research spanning cancer genomics, single-cell and spatial biology, multi-omics, tumor microenvironment studies, digital pathology, and precision oncology.

As a core member of the Bioinformatics Shared Resource, the scientist will work closely with basic, translational, and clinical investigators to translate cancer research questions into scalable, reproducible AI-enabled computational solutions. The position will also help build the infrastructure and expertise needed to advance Massey's Data to Discovery pillar.

• Develop, adapt, and evaluate machine learning and deep learning approaches for cancer genomic, transcriptomic, single-cell, spatial omics, imaging, and other high-dimensional datasets.
• Fine-tune, evaluate, and deploy large language models and biomedical foundation models for cancer research applications, including data interpretation, knowledge integration, and scientific workflow support.
• Develop AI agents and language model-based systems to support cancer bioinformatics analysis, research navigation, workflow automation, and scientific decision-making.
• Build full-stack applications integrating AI models, bioinformatics workflows, databases, visualization tools, APIs, and user-facing interfaces.
• Deploy and optimize AI models and computational workflows on institutional high-performance computing clusters and cloud platforms, and develop scalable training, inference, model-serving, and data-processing pipelines.
• Consult with Massey investigators on study design, project scoping, analytical strategy, data interpretation, and application of AI to cancer research questions.
• Collaborate on cancer-focused studies involving multi-omics, tumor microenvironment, spatial biology, digital pathology, precision oncology, and related areas.
• Develop, validate, document, and maintain reproducible AI and bioinformatics workflows that can be incorporated into ongoing Bioinformatics Shared Resource services.
• Evaluate model accuracy, robustness, reproducibility, computational efficiency, and suitability for cancer research applications.
• Provide technical guidance and training to BISR staff, trainees, and investigators in the appropriate use of AI-enabled computational approaches.
• Contribute to manuscripts, grant proposals, scientific presentations, progress reports, and dissemination of software and analytical methods.

• Ph.D. in bioinformatics, computer science, biomedical informatics, computational biology, artificial intelligence, data science, or a closely related fieldor equivalent combination of education, experience, and training
• At least 2 years of demonstrated experience in machine learning and deep learning.
• At least 2 years…