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Job Description

Role Objectives:
Coordinate AI-enabled surveillance, supporting continuous or periodic monitoring of internal and external scientific evidence relevant to products, therapeutic areas, launches, competitors, evidence gaps, and defined scientific questions. Operate AI-assisted alerts, monitoring feeds, filtering, output logs, and handoffs to enable and support the Global Evidence Generation teams on evidence relevance decisions, scientific interpretation, follow-up actions, and decisions on whether outputs inform IEPs, content updates, or further analyses.

Key Responsibilities:
AI-enabled Surveillance Operations
• Configure AI-enabled alerts, monitoring feeds,



and search criteria based on Global Evidence Generation-defined scope, search focus, business triggers, cadence, and inclusion / exclusion logic
• Run automated surveillance on defined schedules and monitor feed completeness, technical errors, duplicate outputs, and predefined exclusion criteria following all protocols and guardrails
• Filter surveillance results for duplicates, formatting issues, technical errors, and clearly non-relevant outputs based on defined rules
• Route potentially relevant outputs to US evidence owners for relevance review and follow-up decisions

Output Logging & Traceability
• Log surveillance outputs, routing decisions, evidence owner responses, follow-up decisions, and surveillance history
• Maintain source links, search strings, alert parameters, monitoring cadence, inclusion / exclusion rules, and output versions
• Maintain reviewed outputs and decision rationale to support traceability and future reuse
• Track unresolv

📌 Manager, Evidence Generation AI (Bengaluru)
🏢 Takeda
📍 Bengaluru