Powering Workforce Intelligence for a $60B NYC-based Global Biopharmaceutical Leader
Discover How Draup Enabled Data-Driven Workforce Planning for a Pharmaceutical Manufacturing and R&D Leader
About the Company
A global biopharmaceutical leader, the company operates one of the industry’s most advanced U.S. manufacturing networks, spanning small-molecule production, mRNA therapeutics, highly regulated quality operations, and increasingly automated digital facilities. As demand grows for precision CMC capabilities, next-generation mRNA manufacturing, and automation-driven workflows, the company prioritized a future-ready workforce strategy built on deeper visibility into talent availability, evolving skills, and location competitiveness across its national footprint.
Before Draup
1
Fragmented View of Manufacturing & mRNA Talent
Limited visibility into CMC/mRNA talent and evolving skill clusters across U.S. regions.
2
Limited Insight into Automation Engineering Talent
No national benchmarking for PLC, controls, robotics, or digital-twin skills.
3
Unclear Talent Movement Across Key Hubs
Limited insight into inflow/outflow trends and mobility patterns across major hubs.
4
Insufficient University Pipeline Benchmarking
No unified STEM talent view to support long term planning for critical roles.
The Core Challenges
To standardize CMC and Automation Engineering role frameworks for workforce modeling.
To map emerging mRNA manufacturing capabilities and skills evolution.
To balance talent depth with cost, competition, and market maturity across U.S. hubs.
To build quantitative, location-specific hiring difficulty models for critical roles.
The Solution
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Outcome
Integrated Manufacturing Talent Strategy
Unified view of CMC and mRNA talent availability, sub-function maturity, and hiring difficulty across all major U.S. markets.
Clear Location Prioritization
Boston emerged as a high-specialization mRNA/CMC hub, Kalamazoo as a cost-efficient small-molecule center, and Raleigh as a growing market for automation and digital manufacturing talent.
Future-Ready Skill Frameworks
Enabled identification of CMC–automation skill adjacencies, alignment of hiring profiles to mRNA/LNP requirements, and structured reskilling for digital and AI-augmented plant environments, supported by targeted university partnerships.
Improved Talent Risk & Competitor Visibility
Gained granular insights into talent flows, regional shifts, competitor pressure, and long-term talent pipeline strength across key manufacturing hubs.
Powered by unparalleled global labor & market data
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