Manager, Evidence Generation AI & Digital Lead

Takeda · Healthcare & Pharma

Bengaluru, Karnātaka, India
On-site
Posted today
Full time

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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 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

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