Post-Doctoral Fellow - Cellular, Molecular and Genetic Medicine

At VCU, we take pride in our deep commitment to our postdoctoral community. In 2026, the National Postdoctoral Association (NPA) named VCU as one of only 12 recipients of its inaugural Institutional Policy Awards, in recognition of our transformative efforts to elevate quality of life and workplace equity for postdocs.

VCU postdocs are Virginia state employees, with benefits mirroring 12-month faculty. We adhere closely to the NPA’s guidelines for best practices in postdoc training. We work closely with our local NPA chapter, the VCU Postdoc Association, to make this a welcoming and productive place to complete your training!

• →AI and Agentic Bioinformatics Development: Develop and evaluate AI/LLM-based approaches for bioinformatics, including agentic systems capable of selecting tools, executing analytical workflows, interpreting results, and supporting reproducible biomedical data analysis.
• →Computational Method and Software Development: Design, implement, test, and maintain computational methods, bioinformatics pipelines, and/or AI-enabled systems for biomedical data analysis. Develop reproducible and scalable workflows integrating existing and newly developed computational tools.
• →Data Analysis, Evaluation, and Benchmarking: Apply computational methods to genomic, single-cell, spatial, and multi-omics datasets. Systematically benchmark computational tools and AI-enabled workflows for accuracy, robustness, scalability, and reproducibility.
• →Research, Collaboration, and Dissemination: Collaborate with computational and biomedical researchers; contribute to manuscripts, presentations, and research proposals; document software and analytical workflows; and participate in dissemination of research findings and software resources.

Minimum Qualifications

• Ph.D. or equivalent doctoral degree in Computer Science, Artificial Intelligence, Machine Learning, Bioinformatics, Computational Biology, Data Science, Biostatistics, Biomedical Engineering, or a closely related quantitative field
• Demonstrated programming experience in Python, R, or another relevant programming language
• Experience developing computational methods, software, data-analysis pipelines, machine-learning methods, or bioinformatics workflows
• Ability to conduct independent research and work effectively in an interdisciplinary research environment.
• Strong written and oral communication skills
• Evidence of research productivity appropriate to career stage
• Demonstrated 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 Post-Doctoral Fellow at VCU.

Preferred Qualifications

• Strong software engineering and/or AI/ML background
• Experience with large language models, AI agents, retrieval-augmented generation, tool-use systems, or automated scientific workflows
• Experience developing reproducible bioinformatics pipelines using workflow or containerization technologies such as Nextflow, Snakemake, Docker, or similar frameworks
• Experience with genomic, transcriptomic, single-cell, spatial, imaging, or multi-omics data
• Experience with high-performance computing, cloud computing, GPUs, or large-scale data processing
• Experience developing research software or open-source computational tools
• Familiarity with benchmarking, software testing, reproducibility, and computational workflow evaluation
• Interest in applying advanced AI and computational methods to biomedical research

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