The Role Demands Three Principals in One

Ascend Performance Materials  ·  Principal Data Scientist – Supply Chain Decision Intelligence & AI
Supply Chain Intelligence Data Science & Operations Research Agentic AI Engineering SAP-grounded scenario simulation AI-powered risk modeling Production ML in regulated ops John Holstein THE ASCEND TRIFECTA

Supply Chain Intelligence

  • Cardinal Health Nuclear Pharmacy — 30+ hospital hub-and-spoke under NRC/FDA/DOT/EPA/OSHA multi-agency compliance
  • SAP R/3 MM/PP/SD/FI/CO — $300M contract recovery, $21M cGMP fulfillment program
  • Syncor acquisition integration ($870M); 7-state territory, $23M at 15% margin
  • LSSBB DMAIC/DMADV: 27% issue resolution reduction, 30% delivery improvement

Data Science & Operations Research

  • Monte Carlo simulation (MCNP on Cray) for nuclear reactor target optimization — DARPA
  • NIH SBIR $2.1M; AJHP peer-reviewed; 96.3% drug diversion detection accuracy
  • Optimization under exponential decay: Tc-99m 6-hr half-life, 2-hr delivery windows
  • Detection 160 days faster than traditional audit methods across 300+ facilities

Agentic AI Engineering

  • Multi-agent LLM pipeline — 88% human reviewer preference for AI-generated output
  • GxP-validated GenAI at Amgen: 40% CMC drafting reduction, FDA regulatory submission
  • Self-hosted LLM infrastructure: 950+ document throughput, no vendor API dependency
  • 5 production AI systems over 8 years; pharmaceutical-grade compliance throughout
JD: "This role combines data science, software engineering, operations research, and supply chain expertise." — Ascend Performance Materials