UNIV - Staff Scientist I - Department of PHS

Designs, develops, and maintains large language model (LLM), retrieval-augmented generation (RAG), and natural language processing (NLP) systems for research across MUSC, including infrastructure for the Cancer Integrated Data-Enabled Resource (CIDER) that supports research at Hollings Cancer Center. Collaborates with clinical, educational, and research teams to identify requirements and obtain the data needed to build, validate, and deploy AI-enabled research tools. Partners with investigators and project teams across MUSC to define requirements for new research initiatives. Designs and conducts experiments to evaluate model outputs for accuracy, reliability, and fitness for research use, and prepares manuscripts and presentations for scientific dissemination. Develops, implements, and oversees procedures to ensure the security, availability, and compliant operation of AI applications and supporting infrastructure. Contributes to the development and implementation of long-term plans for AI-enabled research tools and responds to requests from research teams for AI-enabled tools and analyses.

• 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.
  
  

If you like working with energetic enthusiastic individuals, you will enjoy your career with us!

The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.

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