AI Scientist, LLM & NLP for Cancer Research

Medical University Hospital Authority (MUHA); South Carolina; On-site; USD 120,000 - 180,000; Full time

Job summary

Medical University of South Carolina (MUSC) seeks a research-focused AI engineer to design, develop, and maintain LLM, RAG, and NLP systems for cancer research infrastructure (CIDER). You will collaborate with clinical, educational, and research teams to identify requirements and deploy AI-enabled tools.

Responsibilities include building secure, scalable pipelines, managing cloud-hosted services, experimenting to validate model outputs, preparing manuscripts, and supporting long-term plans for

Qualifications

• Experience designing and maintaining LLM, RAG, and NLP systems for research.
• Ability to collaborate with clinical, educational, and research teams to define requirements.

Responsibilities

• Conduct research and engineering for CIDER: design, build, evaluate, and maintain LLM and RAG systems for clinical data.
• Develop, deploy, and maintain AI-assisted research pipelines in secure environments.
• Design experiments to evaluate AI methods and publish results.
• Prepare reports and proposals for researchers and leadership.
• Collaborate with investigators and data owners to define use cases, data sources, and validation criteria
• Ensure security and compliant operation of AI infrastructure

Skills

LLM development

RAG systems

NLP systems

research engineering

Tools

Cloud platforms

Containerization

Monitoring

Job description

Medical University of South Carolina (MUSC) seeks a research-focused AI engineer to design, develop, and maintain LLM, RAG, and NLP systems for cancer research infrastructure (CIDER). You will collaborate with clinical, educational, and research teams to identify requirements and deploy AI-enabled tools.

Responsibilities include building secure, scalable pipelines, managing cloud-hosted services, experimenting to validate model outputs, preparing manuscripts, and supporting long-term plans for