Supply Chain Data Scientist job at GE HealthCare in US National

Title: Supply Chain Data Scientist – RadioPharma US & Canada

Location: Remote

Job Description:

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, i