Manager, Evidence Generation AI & Digital Lead

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use.  I further attest that all information I submit in my employment application is true to the best of my knowledge. 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 unresolved items, overdue reviews, recurring technical issues, and gaps in search criteria Stakeholder Coordination & Escalation •       Coordinate with Global Evidence Generation, RWD CoE, Scientific Communications, DD&T, I&A, and other partners to ensure surveillance outputs are routed appropriately •       Escalate unclear relevance, high-impact evidence signals, AI tool errors, recurring false positives / negatives, and surveillance scope issues to US owners •       Support continuous improvement of alert configuration, search logic, templates, and surveillance dashboards Qualifications: Experience: >2 years of related work experience; >2 years of experience in the biopharmaceutical industry; experience in medical affairs, evidence generation, literature surveillance, medical information, scientific communications, HEOR / RWE operations, or AI-enabled workflow coordination preferred Technical skills: •       Working knowledge of biomedical literature databases, evidence surveillance, search strategy basics, and literature screening workflows. •       Familiarity with AI-assisted monitoring tools, automated alerts, filtering logic, output logs, and human review checkpoints •       Ability to maintain traceable records of search criteria, output routing, review decisions, and follow-up actions •       Strong attention to detail and ability to distinguish operational filtering from scientific relevance decisions •       Familiarity with PubMed, Embase, scientific databases, evidence repositories, dashboard tools, or AI-enabled literature tools preferred Education: A scientific, medical, life sciences, pharmacy, public health, epidemiology, library science, or health economics degree is required Languages: Fluent English required; additional languages advantageous Locations IND - Bengaluru Worker Type Employee Worker Sub-Type Regular Time Type Full time