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Field
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for Health Policy and Missouri Cancer Registry. Faculty conduct research in a variety of areas including mental health, vector biology, sleep health, cancer surveillance, community engagement, and more. Our
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regulated environments. Experience with enterprise AI platforms, LLM application frameworks, retrieval-augmented generation, vector databases, workflow automation, or agentic AI patterns. Experience with
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(RAG) systems and Vector databases. Knowledge of LangChain, LangGraph, Semantic Kernel, LlamaIndex with MLOps or LLMOps experience. Working experience in design and implementing architectural data with
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, and university administrative functions is strongly preferred. Experience with vector databases, embeddings, semantic search, enterprise search, knowledge management systems, and retrieval augmented
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operational support. Responsibilities Provide support in molecular biology and biochemistry for lab projects including designing and generating cDNA constructs and viral expression vectors; expression and
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controls for the secure deployment of AI/LLM tools, ensuring proper data governance and protection against AI-specific attack vectors (e.g., prompt injection). Secure Architecture: Serve as the security lead
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molecular biology experiments to design, construct, and analyze vectors and plasmids for transformation. Perform genotyping, genome sequencing as required. Maintain and organize laboratory stocks of DNA
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languages such as Python, Bash, or JavaScript/TypeScript. Experience using Ansible or other orchestration layer tooling. Experience with vector databases, embeddings pipelines, or AI data infrastructure (e.g
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part of this role. Nice to have Familiarity with front-end frameworks (React or comparable) for building end-to-end user-facing AI features. Production experience with vector databases, retrieval systems
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with vector databases, embeddings, or RAG-based systems Experience supporting clinical research, biomedical data, or sensitive datasets Familiarity with compliance-driven environments (FISMA Moderate