Manager, Evidence Generation AI & Digital Lead

Takeda; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Takeda in Bengaluru seeks an experienced Surveillance Operations Specialist to coordinate AI-enabled surveillance and support evidence generation for medicines across therapeutic areas. You will configure alerts, run automated surveillance, filter outputs, route relevant findings to US evidence owners, and maintain logs with traceability.

The role requires >2 years in biopharma, a life sciences degree, and fluent English, with exposure to AI-enabled tools and literature databases.

Qualifications

• Experience in biopharmaceutical industry; >2 years in medical affairs, evidence generation, literature surveillance, medical information, scientific communications, HEOR / RWE operations, or AI-enabled workflow coordination preferred.
• A scientific, medical, life sciences, pharmacy, public health, epidemiology, library science, or health economics degree is required.
• Fluent English required; additional languages advantageous

Responsibilities

• Configure AI-enabled alerts, monitoring feeds, and search criteria based on defined scope and logic.
• Run automated surveillance on defined schedules and monitor feed completeness, errors, duplicates, and exclusion criteria.
• Filter surveillance results for duplicates, formatting issues, and non-relevant outputs.
• Route potentially relevant outputs to US evidence owners for relevance review and follow-up decisions.
• Log surveillance outputs, routing decisions, and surveillance history; maintain source links and output versions.
• Coordinate with Global Evidence Generation, RWD CoE, Scientific Communications, DD&T, I&A, and partners; escalate issues as needed.
• Support continuous improvement of alert configuration, search logic, templates, and dashboards.

Skills

Biomedical literature databases

Evidence surveillance

Search strategy basics

Literature screening workflows

AI-enabled monitoring tools

Education

Scientific/medical degree in life sciences (life sciences, pharmacy, public health, epidemiology)

Tools

PubMed

Embase

Job description

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