Evidence Manager

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Job Description Summary The Evidence Generation Manager provides scientific leadership and end-to-end accountability for Local Evidence Planning (LEP) and execution, including Real World Evidence (RWE) and local clinical studies. This role ensures alignment between global evidence strategies (GMA) and local regulatory, access, and clinical practice needs, driving high-impact evidence generation to support decision-making and improve patient outcomes. Job Description Major accountabilities: 1. Integrated Evidence Planning (IEP) - global to local adaptation Co-build and adapt Global Integrated Evidence Plans (IEPs) to local market context, including regulatory requirements, access and reimbursement needs, clinical practice environment Identify and prioritize country-specific evidence gaps based on stakeholder needs and product strategy Ensure alignment between global evidence strategy and local execution plans Continuously assess and refine evidence priorities based on emerging data and insights 2. Local Evidence Planning, Execution Oversight, and Leadership Lead and oversee end-to-end Local Evidence Plan (LEP) execution, translating strategy into actionable studies with cross-functional alignment Provide strategic oversight of evidence generation activities, ensuring consistency with LEP priorities Maintain and continuously refine the Taiwan LEP framework to ensure adaptability to evolving environmental and business needs Lead local clinical studies and RWE across the full lifecycle, including design, execution, analysis, and result interpretation 3. External Collaboration & Evidence Co-creation Establish and maintain collaborations with medical experts, investigators and academic institutions, external stakeholders Explore data partners to expand local real-world data source Ensure external insights are integrated into evidence strategy and study design Timely and accurate handling of internal and external statistical inquiries 4. Innovation & Advanced Evidence Generation Drive adoption of innovative evidence generation approaches, including advanced RWD methodologies and novel study designs Leverage AI and emerging data technologies, to enhance efficiency, quality, and impact of evidence generation Promote continuous improvement of data-driven and innovative evidence generation capabilities 5. Global Alignment & Governance Ensure strong alignment with Global Medical Affairs - Evidence Generation (GMA) strategies, processes, and governance Ensure all activities comply with Novartis SOPs, GCP and regulatory requirements Maintain inspection readiness and documentation integrity Requirement Advanced degree in Life Sciences, Epidemiology, Biostatistics, or related field 3+ years of RWE experience using healthcare databases or EMR in industry, consulting, or CRO Strong communication and interpersonal skills Strong expertise in study design, protocol writing and methodology Demonstrated ability to work collaboratively with cross-functional teams. Ability to leverage AI and data-driven tools Knowledge / experience with SAS/ R/ S plus or any other business or research analytic software. Understanding of multivariable models (cox, poisson, binomial and multinomial logistic, ANOVA and MANOVA and multivariate approach. (cluster discriminant, factor analysis) Relevant medical/ clinical background Fluent in English & Mandarin (oral and written) Skills Desired Clinical Research, Clinical Trials, Drug Development, Internal Control, Organization Skills, Stakeholder Engagement

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