Global HEOR Evidence Synthesis Senior Manager

Department: Global Health Economics Outcomes Research (HEOR)Job Family: Evidence SynthesisJob Type: Full-TimeLocation: Hyderabad, IndiaReports To: Global Value Access AIN HeadPosition Summary

The Global HEOR Evidence Synthesis Manager plays a critical role in supporting Amgens global market access and health economics strategy through contributing statistical capabilities and methodological leadership for evidence synthesis methodologies (meta-analyses ITCs). This role will partner closely with Global HEOR Product Leads to ensure strong alignment with product strategy. The Evidence Synthesis Senior Manager will lead 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

ABachelors, 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: +12 years for Masters degree and +14 years for Bachelors degree.
• Expertise in research design and statistical methods, including estimating survival, pooled treatment effects and other methods to estimate treatment effect
• Experience in leading 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.
• Experience in AI/ ML techniques and Bayesian statistics is a plus.

Key Responsibilities

• Design and provide methodological leadership in 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 lead 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.