Manager, Evidence Generation Lead, Systematic Literature Review

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 About the Role  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.  How You Will Contribute  Evidence Synthesis Strategy and Execution  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.  Cross-Functional Collaboration and Scientific Partnership  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.  Vendor Oversight and Operational Excellence  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.  Innovation, Data Science, and AI Enablement  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.  Minimum Requirements/Qualifications  Advanced degree (MS, MPH, PharmD, PhD, MD, or equivalent) in Life Sciences, Pharmacy, Public Health, Epidemiology, Health Outcomes Research, or a related scientific discipline.  6+ years of experience in systematic literature reviews, evidence synthesis, scientific research, medical writing, HEOR, or evidence generation within the pharmaceutical, biotechnology, healthcare, or consulting industry.  Demonstrated expertise in systematic review methodologies, evidence appraisal, literature search strategies, and evidence synthesis techniques.  Experience managing external vendors and complex evidence-generation projects.  Strong understanding of evidence-generation strategies across drug development and lifecycle management.  Excellent scientific communication, presentation, and stakeholder engagement skills.  Experience working effectively in matrixed, global, cross-functional environments.  Preferred Qualifications  Experience supporting Medical Affairs, HEOR, Value & Access, Clinical Development, or Evidence Generation organizations within biopharmaceutical companies.  Familiarity with PRISMA guidelines and related literature review standards and frameworks.  Experience with literature review platforms, evidence management systems, and systematic review software tools.  Knowledge of health economics, real-world evidence, outcomes research, and evidence generation frameworks.  Experience utilizing AI-enabled, digital, or automation solutions to enhance evidence synthesis and literature review activities.  Proven ability to influence stakeholders and drive evidence-based decision-making across functions.  Locations IND - Bengaluru Worker Type Employee Worker Sub-Type Regular Time Type Full time