AI Research Scientist: LLMs & NLP for Cancer Data

Medical University of South Carolina; Charleston (SC); On-site; USD 90,000 - 120,000; Full time

Job summary

The Medical University of South Carolina (MUSC) seeks an AI Research Engineer to design, develop, and maintain LLM, RAG, and NLP systems for translational research across the university, including infrastructure for cancer data resources. You will collaborate with clinical, educational, and research teams to define requirements and obtain data for building and validating AI-enabled tools.

Responsibilities include experiments to evaluate model outputs for accuracy and reliability, preparing

Responsibilities

• 35% Conduct research and engineering for CIDER in support of cancer research, including designing, building, evaluating, and maintaining LLM and RAG systems for clinical data; developing retrieval, prompting, and evaluation methods; and validating outputs for research projects.
• 30% Develop, deploy, and maintain AI-assisted research pipelines and applications—such as LLM-assisted coding of clinical transcripts and adaptive learning tools—in secure, controlled environments. Responsibilities include managing cloud-hosted LLM services, containerization, monitoring, reliability, and costs.
• 15% Design and conduct experiments to evaluate AI methods, including benchmark evaluations and model comparisons; analyze and interpret results; and prepare manuscripts for peer-reviewed journals and conferences.
• 15% Prepare reports, presentations, manuscript methods sections, and proposal materials for research colleagues and institutional leadership. Gather requirements for new and ongoing funded studies by collaborating with investigators, clinical and educational teams, and data owners to define use cases, data sources, and validation criteria.
• 5% Collaborate with team members and project managers through meetings and collaborative programming to ensure assigned tasks are completed accurately and on schedule.

Job description

The Medical University of South Carolina (MUSC) seeks an AI Research Engineer to design, develop, and maintain LLM, RAG, and NLP systems for translational research across the university, including infrastructure for cancer data resources. You will collaborate with clinical, educational, and research teams to define requirements and obtain data for building and validating AI-enabled tools.

Responsibilities include experiments to evaluate model outputs for accuracy and reliability, preparing