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GE HealthCare

Supply Chain Data Scientist

GE HealthCare

. Develop analytics that support PET supply chain reliability and On-Time Delivery (OTD) across manufacturing, quality, and logistics operations .

Posted 5/6/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $164,000 - $246,000 per yearWebsite

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • Develop analytics that support PET supply chain reliability and On-Time Delivery (OTD) across manufacturing, quality, and logistics operations
  • Analyze manufacturing and distribution data to identify leading indicators of supply risk or operational failure
  • Build analytics supporting cyclotron production, synthesis operations, QC release, and radiopharmacy dispensing performance
  • Support real-time and historical operational analysis to improve network responsiveness and reliability
  • Analyze slot utilization, dose production patterns, and customer order behavior to optimize manufacturing schedules and pharmacy workflows
  • Support modeling of dose allocation, demand variability, and production capacity across the PET network
  • Develop analytics that improve demand-to-capacity planning across CMOs and internal manufacturing sites
  • Identify opportunities to improve network redundancy and supply resilience
  • Analyze operational performance across external manufacturing partners (CMOs) and radiopharmacy networks
  • Support development of network performance dashboards including reliability, capacity utilization, and supply performance
  • Develop data models that improve visibility into CMO manufacturing performance and operational variability
  • Perform deep analysis of large operational datasets to uncover patterns in manufacturing, logistics, and order behavior
  • Apply statistical and predictive techniques to identify operational risk signals
  • Build models that improve forecast accuracy, production scheduling, and supply reliability
  • Support development of predictive analytics and machine learning approaches for supply chain optimization
  • Partner closely with: RadioPharma Operations leadership, MSAT and manufacturing teams, External Manufacturing and CMO partners, Commercial demand planning teams, Digital / IT data teams

Requirements

What you’ll need
  • Bachelor’s or Master’s degree in Data Science, Operations Research, Supply Chain Analytics, Statistics, Applied Mathematics, or Computer Science
  • 5–10+ years experience in data analytics, data engineering, data science, or supply chain analytics
  • Experience working with operational, manufacturing, or logistics datasets
  • Strong proficiency in: SQL, Python or R, Data visualization tools (Power BI, Tableau, or similar), Statistical modeling and data mining techniques, Large dataset analysis
  • Experience with supply chain analytics, manufacturing analytics, operations research, demand forecasting, optimization modeling is a plus

Benefits

Comp & perks
  • medical
  • dental
  • vision
  • paid time off
  • 401(k) plan with employee and company contribution opportunities
  • life insurance
  • disability and accident insurance
  • tuition reimbursement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data analyticsdata engineeringdata sciencesupply chain analyticsstatistical modelingdata mining techniqueslarge dataset analysisdemand forecastingoptimization modelingSQL