Supply Chain Data Scientist – RadioPharma US & Canada

Job Description Summary

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.

Job Description

Key Responsibilities

Operational Analytics & Decision Support

• 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

Network Optimization & Supply Planning

• 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

External Manufacturing & Network Visibility

• 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

Data Architecture & Advanced Analytics

• 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

Cross-Functional Collaboration

• Partner closely with:
• RadioPharma Operations leadership
• MSAT and manufacturing teams
• External Manufacturing and CMO partners
• Commercial demand planning teams
• Digital / IT data teams

• Translate operational questions into structured analytics and data-driven insights

Required Qualifications

• 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

Technical Skills

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 any of the following is a plus:

• Supply chain analytics
• Manufacturing analytics
• Operations research
• Demand forecasting
• Optimization modeling

Preferred Experience

• 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

We will not sponsor individuals for employment visas, now or in the future, for this job opening.

For U.S. based positions only, the pay range for this position is $164,000.00-$246,000.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.

Additional Information

GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.

Relocation Assistance Provided: No

Application Deadline: May 19, 2026