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Tier-1 pharma brand and Mumbai location increase applicant density despite specialized pharma data skill requirements.
Mandated pharmaceutical clinical and scientific data experience makes background fit highly domain-specific.
Explicit 9+ years plus required pharmaceutical clinical-data experience and production AI embedding raise shortlisting strictness.
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Lead and manage complex projects delivering database management systems and AI-ready data products within pharmaceutical clinical and scientific data contexts.
Design, develop, and optimize relational database architectures, including modeling, metadata repository creation, and configuration management.
Collaborate with platform and digital teams to define and execute AI and technology-focused Proof of Concepts, prioritizing business stakeholder needs and synergy opportunities.
BA/BS or MBA/MS with 9+ years relevant experience OR PhD/JD with 3+ years OR MD/DVM with any years of experience.
Proven expertise managing pharmaceutical clinical and scientific data.
Experience embedding algorithms in production applications.
Strong skills in database modeling, relational architecture, metadata/repository creation, configuration management, data mapping, mining, and transformation.
Experienced leader capable of delivering complex, cross-functional digital projects involving AI and data engineering in pharma contexts.
Technically proficient in end-to-end database systems and AI data engineering methods.
Collaborative operator skilled in working across platform and business teams to drive prioritized, impactful technology solutions.