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Takeda seeks an Evidence Generation Lead, Systematic Literature Reviews, to design and execute end-to-end reviews, scoping studies, and gap assessments. You will translate stakeholder needs into effective evidence designs, manage external partners, and ensure rigor and impact across global teams.
The role emphasizes methodological leadership, AI-enabled review tools, and collaboration with Clinical Science, Medical Affairs, HEOR, RWE, Biostatistics, and Market Access to drive decision-ready
The Evidence Generation Lead, Systematic Literature Reviews is responsible for leading the design, execution, and delivery of systematic literature reviews (SLRs), targeted literature reviews (TLRs), evidence gap assessments, and evidence synthesis activities that support strategic evidence generation and decision-making across the product lifecycle. This role partners closely with Clinical Science, Medical Affairs, Health Economics and Outcomes Research (HEOR), Real-World Evidence (RWE), Biostatistics, and external partners to generate high-quality, decision-ready evidence that informs asset strategy, value demonstration, and scientific communication. The incumbent will provide scientific and methodological leadership for evidence synthesis activities, ensure adherence to industry standards and best practices, and leverage digital and AI-enabled tools to enhance the efficiency, quality, and scalability of evidence review processes.
Lead end-to-end systematic literature reviews, targeted literature reviews, scoping reviews, and evidence gap assessments to support evidence generation strategies and business priorities.
Define research questions, eligibility criteria, search methodologies, screening approaches, data extraction plans, critical appraisal methods, and synthesis strategies.
Translate stakeholder evidence needs into fit-for-purpose evidence review designs aligned with asset, portfolio, and organizational objectives.
Identify evidence gaps, emerging trends, and opportunities to inform future evidence-generation priorities and research investments.
Ensure consistency, methodological rigor, and compliance with internal standards and external guidance across all review activities.
Partner with Clinical Science, Medical Affairs, HEOR, RWE, Biostatistics, Market Access, and other stakeholders to support strategic evidence planning and evidence-generation initiatives.
Contribute evidence syntheses supporting publications, congress presentations, value dossiers, health technology assessment submissions, landscape assessments, and strategic planning activities.
Communicate complex evidence findings through clear and actionable reports, presentations, and executive summaries.
Provide scientific consultation regarding literature review methodologies and evidence interpretation.
Manage external vendors and research partners responsible for literature review execution and evidence synthesis activities.
Establish project plans, timelines, quality controls, and performance expectations to ensure timely and high-quality deliverables.
Review deliverables for methodological quality, scientific accuracy, completeness, and compliance with established standards.
Drive continuous improvement initiatives to enhance efficiency and operational effectiveness within evidence synthesis processes.
Evaluate and implement innovative approaches, digital solutions, automation technologies, and AI-enabled tools to support literature review and evidence synthesis activities.
Champion adoption of advanced analytics, machine learning, and AI-assisted review technologies where appropriate to improve quality, speed, and scalability.
Maintain awareness of evolving industry methodologies, technologies, and regulatory expectations related to evidence synthesis and literature reviews.
Contribute to capability building and knowledge sharing across the Evidence Generation organization.
Takeda is leading a digital revolution. We’re not just transforming our company; we’re improving the lives of millions of patients who rely on our medicines every day. As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization.
IND – Bengaluru Worker Type Employee Worker Sub-Type Regular Time Type Full-time
IND – Bengaluru - Research and Development Worker Type Employee Worker Sub-Type Regular Time Type Full-time
IND – Bengaluru Worker Type Employee Worker Sub-Type Regular Time Type Full-time
IND – Bengaluru Worker Type Employee Worker Sub-Type Regular Time Type Full-time