Pharmaceutical Supply Chain Data Analyst

We are seeking a Pharmaceutical Supply Chain Data Analyst with deep knowledge of pharmaceutical market to support the Medicine Supply Map (MSM).  In this role, you will source, integrate, and analyze regulatory approval and manufacturing data for your market so that MSM can identify, characterize, and quantify upstream supply chain risk for the medicines marketed there. You will be the team’s subject matter expert on your market’s regulatory data sources and supply chain landscape, and you will turn that knowledge into data-driven insight for customers and internal stakeholders.

Basic Qualifications:

• Bachelor’s degree in Data Science, Statistics, Pharmacy, Life Sciences, Public Health, Economics, or a related field.
• 3+ years of experience analyzing pharmaceutical, regulatory, or healthcare supply chain data.
• Intimate working knowledge of regulatory approval data and manufacturing site information.
• Solid understanding of pharmaceutical supply chain concepts, including APIs, FDFs, master files, CEPs, and drug shortages.
• Proficiency in SQL and in Python (pandas) or R.
• Experience linking and reconciling data across heterogeneous public and commercial sources.
• Strong communication skills, including the ability to explain technical findings to nontechnical audiences.

Key Responsibilities:

• Identify, evaluate, and integrate regulatory and supply chain data sources for your market: Health Drug Product Database, Notice of Compliance database, Drug Establishment License listings, GMP inspection records, and Drug Shortages  reports.
• Map marketed products to their finished dosage form and API manufacturing sites, linking each regulatory approval to its manufacturer, site, and geographic data.
• Build and maintain crosswalks that connect market-specific product and authorization identifiers to existing MSM datasets, including U.S. equivalents where applicable.
• Validate data quality and reconcile discrepancies across sources. Document methodology, assumptions, and data lineage to support repeatability and audit.
• Analyze shortage trends, manufacturing concentration, and supplier dependencies to characterize supply chain risk in your market.
• Translate findings into briefings, visualizations, and customer-facing insights for government, health system, and industry stakeholders.
• Partner with data science and product teams to adapt MSM risk models and features to your market.
• Stay current on regulatory changes, shortage policy, and market dynamics in your market.