AI Research Scientist
$100kVirginia Commonwealth University
AI Research Scientist Job no: 45002428
Work type: Staff
Location: MCV Main Campus
Categories: Research Advertising Summary: 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. Benefits : All full-time university staff are eligible for VCU's robust benefits package that includes comprehensive health benefits, paid annual and holiday leave granted up front, generous tuition benefits, retirement planning and savings options, tax-deferred annuity and cash match programs, employee discounts, well-being resources, abundant opportunities for career development and advancement, and more.
Contact Email: View email address on click.appcast.io Advertised: 31 Aug 2026 Eastern Daylight Time
Applications close:
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Work type: Staff
Location: MCV Main Campus
Categories: Research Advertising Summary: 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. Benefits : All full-time university staff are eligible for VCU's robust benefits package that includes comprehensive health benefits, paid annual and holiday leave granted up front, generous tuition benefits, retirement planning and savings options, tax-deferred annuity and cash match programs, employee discounts, well-being resources, abundant opportunities for career development and advancement, and more.
- Continuing education for undergraduate and graduate tuition for a maximum of 6 credits per semester;
- Professional development opportunities encouraged and offered for employees as part of annual career development, e.g. certifications, seminars, courses, annual conferences, mentorship;
- 28 Vacation Days, 12+ State Holidays, and 4 Days to volunteer;
- Medical, Dental and Vision Health Benefits to meet the needs of employees and their eligible family members from the Commonwealth of Virginia as well as optional FSA;
- Participation in the Virginia Retirement System (VRS) and other retirement saving options;
- Parental and Caregiver Leave, Short Term Disability (STD), Disability Insurance, Voluntary Long Term Care Insurance, and Employee Assistance Program.
- 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 field or equivalent combination of education, experience, and training
- At least 2 years of demonstrated experience in machine learning and deep learning.
- At least 2 years of experience working with large language models, including model evaluation, prompt design, retrieval-augmented generation, fine-tuning, agentic systems, or model deployment.
- Strong programming skills in Python and experience with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or comparable platforms.
- Experience deploying computational models or applications on high-performance computing clusters and/or cloud environments.
- Experience with modern software development, including backend services, APIs, databases, containers, version control, and full-stack application development.
- Ability to work independently while contributing effectively within a multidisciplinary cancer research and shared-resource environment.
- Strong written and verbal communication skills, including the ability to translate technical concepts for experimental, translational, and clinical cancer researchers.
- Demonstrated experience working in and fostering an environment of respect, professionalism and civility with a population of faculty, staff, and students from various backgrounds and experiences, or a commitment to do so as a staff member at VCU
- Experience applying AI or machine learning to cancer genomics, transcriptomics, single-cell data, spatial omics, biomedical imaging, digital pathology, or multi-omics integration.
- Experience with biomedical foundation models, transformer architectures, multimodal learning, graph neural networks, diffusion models, or other generative modeling approaches.
- Experience developing agentic AI systems, tool-using language models, or automated scientific analysis workflows.
- Experience with retrieval-augmented generation, vector databases, knowledge graphs, and biomedical or cancer knowledge resources.
- Experience with precision oncology, tumor microenvironment analysis, biomarker discovery, or other cancer-focused computational research.
- A record of scientific publications, open-source software development, or contributions to collaborative biomedical or cancer research.
- Experience supporting investigators through a research core, shared resource, or other collaborative scientific environment.
Contact Email: View email address on click.appcast.io Advertised: 31 Aug 2026 Eastern Daylight Time
Applications close:
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Vacancy posted 20 hours ago
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