Manager, Evidence Generation AI & Digital Lead

IND - 2028 Takeda Innovations India Private Limited; Bengaluru; Vor Ort; INR 800.000 - 1.300.000; Vollzeit

Zusammenfassung

Takeda Innovations India Private Limited in Bengaluru seeks a professional to coordinate AI-enabled surveillance supporting Global Evidence Generation teams on evidence relevance decisions and scientific interpretation.

You'll configure alerts, run automated surveillance, log outputs, and coordinate with cross-functional partners to ensure timely follow-ups and traceability of evidence decisions for product evidence and scientific content updates.

Qualifikationen

• 2+ years of related work experience.
• 2+ years in the biopharmaceutical industry.
• Experience in medical affairs, evidence generation or AI-enabled workflow coordination preferred

Aufgaben

• Configure AI-enabled alerts, monitoring feeds, search criteria, and logic.
• Run automated surveillance on defined schedules and check for completeness and errors.
• Filter results for duplicates, formatting issues, and non-relevant outputs.
• Route relevant outputs to US evidence owners for review and follow-up decisions

Jobbeschreibung

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

IND - Bengaluru Worker Type Employee Worker Sub-Type Regular Time Type Full time

Takeda is an industry-leading, global pharmaceutical company with an unwavering dedication to putting patients at the center of everything we do. We live our values of Takeda-ism – Integrity, Fairness, Honesty, and Perseverance – and are united by our mission to strive towards Better Health and a Brighter Future for people worldwide through leading innovation in medicine. Here, everyone matters and you will be a vital contributor to our inspiring, bold mission. At Takeda, you will make an impact on people’s lives – including your own.

Takeda is an equal opportunity employer.