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Strong employer brand but senior, specialized pharma data role reduces candidate density.
Requires pharmaceutical clinical data expertise, limiting cross-industry transferability.
Explicit 9+ years requirement and clinical data productionization skills make filters stringent.
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Lead and manage complex projects for database management systems focusing on design, development, and installation with emphasis on pharmaceutical clinical and scientific data.
Design and build AI Ready data products using AI data engineering methods and tools, including database modeling, relational architecture, and metadata management.
Collaborate with Platform and Digital teams to define and execute technology POCs and guide business stakeholders on prioritization and synergy opportunities.
Bachelor's degree or MBA/MS with 9+ years relevant experience; or PhD/JD with 3+ years experience; or MD/DVM with any years of experience.
Proven knowledge managing pharmaceutical clinical and scientific data.
Experience in database modeling, design, relational database architecture, metadata and repository creation, and configuration management.
Proficiency in data mapping, data mining, and data transformation.
Experienced in embedding algorithms in production applications within pharmaceutical data environments.
Skilled in influencing and collaborating across teams including technical and business stakeholders.
Strong analytical capability to organize data and produce objective insights supporting decision making.