AI Research Scientist, Cancer Genomics & Bioinformatics

Towson; Richmond (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Massey Comprehensive Cancer Center's Bioinformatics Shared Resource seeks an AI Research Scientist to develop and deploy ML, DL, and large language models for cancer research. You will bridge bioinformatics and software engineering, deploying AI-enabled pipelines on HPC and cloud platforms.

Collaborate with investigators across multi-omics, digital pathology, and precision oncology, translating cancer questions into scalable, reproducible AI solutions within a shared-resource environment.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

PyTorch

TensorFlow

JAX

Cloud deployment

HPC

Bioinformatics

Communication

Education

Ph.D. in bioinformatics or related field

Tools

Docker

Kubernetes

APIs

Databases

Version control

Job description

Massey Comprehensive Cancer Center's Bioinformatics Shared Resource seeks an AI Research Scientist to develop and deploy ML, DL, and large language models for cancer research. You will bridge bioinformatics and software engineering, deploying AI-enabled pipelines on HPC and cloud platforms.

Collaborate with investigators across multi-omics, digital pathology, and precision oncology, translating cancer questions into scalable, reproducible AI solutions within a shared-resource environment.