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Takeda Pharmaceutical · Bengaluru, Karnātaka, India

# Manager, Evidence Generation AI & Digital Lead

Bengaluru, Karnātaka, India Full-time Manager or lead {'@type': 'MonetaryAmount', 'currency': 'USD', 'value': {'@type': 'QuantitativeValue', 'unitText': ''}} 

Listed on Takeda Pharmaceutical’s official careers site. Posted October 14, 2026. Check that it is still open and apply there.
[Apply on Takeda Pharmaceutical’s careers site →](https://jobs.takeda.com/job/bengaluru/manager-evidence-generation-ai-and-digital-lead/1113/101947660000)

[OpenNash Jobs](https://jobs.opennash.com/) / [Takeda Pharmaceutical](https://jobs.opennash.com/companies/takeda-pharmaceutical/) / Manager, Evidence Generation AI & Digital Lead

## Job description

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

## At a glance
- Posted by the employer: Oct 14, 2026
- First seen by OpenNash: Oct 18, 2026
- Last checked: Oct 18, 2026
- Listed for: 4 days
- Location: Bengaluru, Karnātaka, India
- Employment type: Full-time
- Pay: {'@type': 'MonetaryAmount', 'currency': 'USD', 'value': {'@type': 'QuantitativeValue', 'unitText': ''}}[Apply on Takeda Pharmaceutical’s careers site →](https://jobs.takeda.com/job/bengaluru/manager-evidence-generation-ai-and-digital-lead/1113/101947660000)

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