Manager, Evidence Generation AI & Digital Lead

Takeda; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Takeda in Bengaluru, India, seeks a detail-oriented professional to coordinate AI-enabled surveillance of scientific literature for evidence generation in pharma. The role involves configuring alerts, monitoring feeds, and routing outputs to evidence owners for review and action.

You will maintain traceable records, support dashboards, and collaborate with Global Evidence Generation and related teams to ensure accurate interpretation and timely follow-ups. Fluent English required.

Qualifications

• 2+ years in biopharmaceuticals or related field (medical affairs, evidence generation, literature surveillance, etc).
• Scientific/medical degree required.
• Fluent English; additional languages advantageous.

Responsibilities

• Configure AI-enabled alerts, monitoring feeds, and search criteria per scope and triggers.
• Run automated surveillance, monitor outputs for quality and exclusions.
• Route relevant outputs to evidence owners for review and follow-up decisions.
• Log surveillance outputs, decisions, and supporting rationale for traceability.
• Coordinate with Global Evidence Generation and partners to route outputs appropriately.

Skills

Biomedical literature databases

AI-assisted monitoring tools

Traceable records

Attention to detail

PubMed/Embase familiarity

Education

Science/medical/life sciences/pharmacy/public health/epidemiology/library science/health economics degree

Tools

PubMed

Embase

Dashboard tools

AI-enabled literature tools

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
• Support continuous improvement of alert configuration, search logic, templates, and surveillance dashboards

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