**Department: Global Health Economics & Outcomes Research (HEOR)** **Job Family: Evidence Synthesis** **Job Type: Full-Time** **Location: Hyderabad, India** **Reports To: Global HEOR Evidence Synthesis Team Lead** **Position Summary** The Global HEOR Evidence Synthesis Manager plays a critical role in supporting Amgen's global market access and health economics strategy through contributing statistical capabilities and methodological leadership for evidence synthesis methodologies (meta-analyses & ITCs). The Evidence Synthesis Manager will conduct different evidence pooling analyses ranging from meta-analyses, network meta-analyses to population-adjusted indirect treatment comparisons (MAICs and STCs) and health-economic analyses facilitating HTA and payer decision-making. **Educational Qualifications** A **Bachelor's, Master's or Doctoral-level degree in applied statistics** , biostatistics, mathematics, operations research, engineering, health economics, pharmacy, and related quantitative fields **Required experience/ knowledge** + Years of relevant experience in evidence synthesis and statistical analyses in the pharmaceutical, biotech or consulting setting: +6 years for Master's degree and +8 years for Bachelor's degree. + Hands-on experience in research design and statistical methods, including estimating survival, pooled treatment effects and other methods to estimate treatment effect + Experience in conducting health economic analyses such as cost-effectiveness/cost-utility (e.g., markov, partitioned survival model), cost minimization, budget impact, and other techniques, as appropriate + Proficiency with modeling and statistical tools such as Excel, WinBugs, OpenBugs, JAGS, R or Python. + Familiarity with AI/ML techniques and Bayesian statistics is a plus.



**Key Responsibilities** + Design and conduct advanced evidence synthesis and statistical analyses such as Pairwise Meta-Analysis, Surrogate outcome assessment, Survival analysis, External Control Arm (ECA) analysis, Indirect treatment comparison (ITCs), Network Meta-Analysis, Match adjusted indirect treatment analysis (MAIC), Simulated treatment comparison (STC) and Meta-regression + Design and develop health economic models for products at all stages of development and launch, using cost-effectiveness/cost-utility (e.g., markov, partitioned survival model), cost minimization, budget impact, and other techniques, as appropriate. + Ensure quality standards are adhered to in all analyses and new methodologies and techniques are adequately assessed and implemented. + Plan and conduct statistical analyses of clinical trials, RWE and other relevant data sources and develop supporting technical documentation for statistical analyses and economic models. + Monitor and integrate evolving HTA guidelines, payer requirements, and methodological advancements. + Create QC checklists and establish robust QC processes across projects + To proactively mentor and develop members of the team **Skills & Competencies** + Excellent English oral and written communication, with ability to tailor content to different stakeholders. + Strong quantitative and analytical skills with attention to detail. + Robust project management and time-management abilities. + Innovative use of artificial intelligence to boost efficiency. **Organizational Behaviors** + Effective cross-functional collaboration and interpersonal skills. + Proactive, independent, and detail-oriented approach to problem-solving. + Comfortable working in a global team across time zones and cultures.

📌 Global HEOR Evidence Synthesis Manager (Hyderabad)
🏢 AMGEN
📍 Hyderabad