Data Science Engineer V - US
Core
Architect and own end-to-end delivery of complex statistical/ML and generative AI initiatives, specifically building production-grade Shiny applications and R-based analytical tools to solve high-impact clinical and business problems.
Role type
Senior IC Data Science Engineer (Clinical AI & R/Shiny)
Builds
Production-grade Shiny applications, R-based analytical tools, and complex statistical/ML/generative AI solutions for clinical use cases.
Domain
Healthcare/Clinical + Data Science + Generative AI
Deliverable
production ML models
Required skills
Advanced statistics, Machine Learning, Data Mining, R, RStudio, Shiny application development, Generative AI/LLM architecture, RAG/agentic solutions, HPC/research-computing workflows, Bias/safety evaluation frameworks
Preferred skills
Responsible-AI evaluation in pediatric/clinical settings, Fine-tuning LLMs, Advanced RAG/agentic architectures, HPC environment analysis, Study design input with Research PIs
Technologies
R, RStudio, Shiny, LLMs, HPC
Responsibilities
Architect and own delivery of complex Shiny applications and R-based analytical tools; Lead design reviews and set technical direction; Own human-in-the-loop validation processes for high-stakes models; Own bias/safety/explainability evaluation for AI outputs; Partner with Research PIs on study design and analysis planning; Build tools/libraries that scale data science products across teams.
Seniority
Senior, hands-on IC
