Global HEOR Evidence Synthesis Manager

Job description

Career Category Operations Job Description 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. Strong 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. .