Supply Chain Data Scientist – RadioPharma US & Canada

GE HEALTHCARE

About The Position

The Supply Chain Data Scientist will support the RadioPharma Operations team by developing advanced analytics, insights, and decision-support tools that improve reliability, network efficiency, and patient access across GE HealthCare’s USCAN PET radiopharmaceutical supply chain. This role sits within the RadioPharma Operations organization and focuses on operational analytics, working closely with Supply Chain, External Manufacturing, MSAT, Commercial, and Quality teams to translate complex operational data into actionable insights. The position will support the optimization of a highly time-sensitive supply network, including cyclotron manufacturing, radiopharmacy operations, and distribution logistics for PET radiotracers with short half-lives. The successful candidate will combine strong data science and analytics skills with an interest in manufacturing, logistics, and supply chain performance to improve network reliability, operational decision making, and demand-to-capacity planning.

Requirements

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
Strong proficiency in: Python or R
Strong proficiency in: Data visualization tools (Power BI, Tableau, or similar)
Strong proficiency in: Statistical modeling and data mining techniques
Strong proficiency in: Large dataset analysis

Nice To Haves

Experience supporting manufacturing or supply chain operations
Experience analyzing production, logistics, or distribution networks
Familiarity with ERP, planning, or operational data systems
Exposure to predictive analytics or machine learning applied to operational data
Supply chain analytics
Manufacturing analytics
Operations research
Demand forecasting
Optimization modeling

Responsibilities

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
Translate operational questions into structured analytics and data-driven insights