Manager, Evidence Generation AI & Digital Lead

Takeda Pharmaceutical Co.; Bengaluru; On-site; INR 1,200,000 - 2,300,000; Full time

Job summary

Takeda Pharmaceutical Co. in Bengaluru is seeking an AI Surveillance Specialist to coordinate AI-enabled evidence surveillance across internal and external sources. You will configure alerts, monitor feeds, and ensure outputs support evidence decisions and content updates.

The role requires a life sciences degree, 2+ years in biopharma, and fluent English, with strong attention to detail and traceability across surveillance activity.

Qualifications

• ≥2 years in biopharma, medical affairs or evidence generation
• Degree in life sciences, pharmacy, public health or related field required
• Experience with AI-enabled surveillance and literature screening preferred
• Fluent English; additional languages advantageous

Responsibilities

• Configure AI-enabled alerts and search criteria per scope and cadence
• Run automated surveillance and monitor data quality and exclusions
• Route relevant outputs to US evidence owners for review and follow-up decisions
• Log surveillance outputs, routing decisions, and history
• Coordinate with Global Evidence Generation and partners; escalate issues

Skills

Biomed literature databases

AI-enabled surveillance tools

Literature screening workflows

Traceability of search criteria

Dashboard tools

PubMed

Embase

Education

Life sciences/medical/public health degree

Tools

AI-assisted monitoring tools

Automated alerts

Dashboard 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

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