Supply Chain Data Scientist – RadioPharma US & Canada
GE HealthCare · United States
- Hybrid
- Full-time
- $164,000 / year
- United States
Job highlights
- Develop advanced supply chain analytics and decision tools.
- Optimize a time-sensitive radiopharmaceutical supply network.
- Analyze manufacturing, logistics, and distribution data.
- Collaborate with cross-functional teams.
- Apply data science to improve network reliability and efficiency.
About the role
Supply Chain Data Scientist – RadioPharma US & Canada
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.
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
Compensation and Benefits
For U.S. based positions only, the pay range for this position is $164,000.00-$246,000.00 Annual. Compensation decisions are dependent on the facts and circumstances of each case, influenced by factors such as skills, qualifications, experience and location. This position may also be eligible to earn performance-based incentive compensation. GE HealthCare offers a competitive benefits package, including medical, dental, vision, paid time off, a 401(k) plan, life, disability, and accident insurance, and tuition reimbursement.
Additional Information
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).
Key Skills/Competency
- Supply Chain Data Science
- Operational Analytics
- Network Optimization
- Data Modeling
- Predictive Analytics
- Machine Learning
- SQL
- Python
- Data Visualization
- Supply Chain Analytics
Skills & topics
- Supply Chain Data Scientist
- Data Science
- Supply Chain Analytics
- Operations Research
- SQL
- Python
- R
- Data Visualization
- Predictive Analytics
- Machine Learning
- Manufacturing Analytics
- Logistics
- Demand Forecasting
- Network Optimization
- GE HealthCare
- RadioPharma
How to get hired
- Tailor your resume: Highlight your experience with SQL, Python/R, and data visualization tools. Emphasize supply chain, manufacturing, or logistics analytics.
- Showcase your skills: Quantify your achievements in improving network reliability, efficiency, or planning using data science techniques.
- Prepare for technical questions: Be ready to discuss your experience with statistical modeling, large dataset analysis, and predictive analytics.
- Demonstrate collaboration: Highlight examples of partnering with operations, manufacturing, and commercial teams to drive data-driven insights.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key technical skills required for the Supply Chain Data Scientist role at GE HealthCare?
- The Supply Chain Data Scientist role at GE HealthCare requires strong proficiency in SQL, Python or R, data visualization tools like Power BI or Tableau, statistical modeling, data mining techniques, and large dataset analysis. Experience with supply chain analytics, manufacturing analytics, operations research, demand forecasting, or optimization modeling is a plus.
- What is the expected experience level for the Supply Chain Data Scientist position at GE HealthCare?
- GE HealthCare is seeking a Supply Chain Data Scientist with 5-10+ years of experience in data analytics, data engineering, data science, or supply chain analytics. A Bachelor's or Master's degree in a relevant field such as Data Science, Operations Research, Supply Chain Analytics, Statistics, Applied Mathematics, or Computer Science is also required.
- Can I apply for the Supply Chain Data Scientist job at GE HealthCare if I require visa sponsorship?
- No, GE HealthCare will not sponsor individuals for employment visas, now or in the future, for this Supply Chain Data Scientist opening.
- What kind of data will I be working with as a Supply Chain Data Scientist at GE HealthCare?
- As a Supply Chain Data Scientist at GE HealthCare, you will work with operational, manufacturing, and logistics datasets. This includes data related to cyclotron production, synthesis operations, QC release, radiopharmacy dispensing, slot utilization, dose production patterns, customer order behavior, and external manufacturing partner performance.
- What is the salary range for the Supply Chain Data Scientist role at GE HealthCare in the US?
- For U.S. based positions, the estimated annual salary range for the Supply Chain Data Scientist role at GE HealthCare is $164,000.00 to $246,000.00. Compensation will be determined by various factors including skills, qualifications, experience, and location.
- What is the work arrangement for the Supply Chain Data Scientist position at GE HealthCare?
- The job description does not explicitly state the work arrangement (on-site, hybrid, remote) for the Supply Chain Data Scientist position. However, given the focus on specific operational sites and cross-functional collaboration, it is likely to be an on-site or hybrid role. Further clarification may be needed.