UNIV - Staff Scientist I - Department of PHS
About The Position
The Staff Scientist I designs, develops, and maintains large language model (LLM), retrieval-augmented generation (RAG), and natural language processing (NLP) systems for research across MUSC. This includes infrastructure for the Cancer Integrated Data-Enabled Resource (CIDER), which supports research at Hollings Cancer Center. The role collaborates with clinical, educational, and research teams to identify requirements and obtain data needed to build, validate, and deploy AI-enabled research tools, and partners with investigators and project teams to define requirements for new research initiatives. The position designs and conducts experiments to evaluate model accuracy, reliability, and suitability for research use; prepares manuscripts and presentations for scientific dissemination; and develops and oversees procedures for the secure, available, and compliant operation of AI applications and supporting infrastructure. It also contributes to long-term plans for AI-enabled research tools and responds to research teams' requests for AI-enabled tools and analyses.
Responsibilities
- Conduct research and engineering for CIDER in support of cancer research, including designing, building, evaluating, and maintaining LLM and RAG systems for clinical data.
- Develop retrieval, prompting, and evaluation methods, and validate outputs for research projects.
- Develop, deploy, and maintain AI-assisted research pipelines and applications, including LLM-assisted coding of clinical transcripts and adaptive learning tools, in secure, controlled environments.
- Manage cloud-hosted LLM services, containerization, monitoring, reliability, and costs.
- 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.
- 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.
- Collaborate with team members and project managers through meetings and collaborative programming to complete assigned tasks accurately and on schedule.
- Develop, implement, and oversee procedures that support the security, availability, and compliant operation of AI applications and infrastructure.
- Contribute to long-term plans for AI-enabled research tools and respond to research teams' requests for AI-enabled tools and analyses.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
