Data Science Engineer V - US

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Description

Summary : Owns complex, cross-cutting statistical/ML and generative AI initiatives that solve high-impact clinical and business problems, setting technical direction for the area, mentoring data scientists, and partnering directly with clinical and business leaders . Required Education & Experience Bachelor's degree (or higher) in a STEM field, or equivalent experience. 6–9 years of experience in data science, with significant project ownership. 4–6 years hands-on building and productionizing ML/generative AI solutions. 4–6 years hands-on experience with R, RStudio, and Shiny application development, including production-grade interactive tools. 1+ year informally mentoring data scientists. Preferred Deep experience with responsible-AI evaluation in a pediatric/clinical setting. Experience with fine-tuning or advanced RAG/agentic architectures. Experience running analyses in an HPC or research-computing environment for large-scale or computing intensive studies. Established working relationships with Research PIs, including study-design or analysis-planning input. Knowledge, Skills, and Abilities Advanced expertise in statistics, ML, and data mining; independently designs model architectures and evaluation frameworks. Advanced expertise in R and RStudio; independently designs and architects production-grade Shiny applications. Deep understanding of generative AI/LLM architecture; independently designs RAG/agentic solutions for high-stakes clinical/operational use cases. Deep

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