Global HEOR Economic Modelling Senior Associate

About the role

The Global HEOR Economic Modeling Senior Associate supports Amgen's global market access and health economics strategy by developing health economic models. Working closely with the team lead and Global HEOR Product Leads, the associate builds cost-effectiveness, budget impact and other models based on clinical and real-world data to inform HTA and payer decisions.

Key responsibilities

• Design and build global core health economic models for products at all stages of development and launch, using cost-effectiveness/cost-utility (e.g. Markov, partitioned survival), cost minimization and budget impact techniques.
• Program models in software such as Excel, R or Python, integrating clinical, real-world, epidemiological and economic data.
• Analyse clinical trial and real-world data to derive treatment effects, survival extrapolations, resource use and health utility estimates.
• Conduct network meta-analyses and matching-adjusted indirect comparisons to inform comparative effectiveness.
• Run univariate, multivariate and probabilistic scenario and sensitivity analyses to test model robustness.
• Deliver model structure, programmed model, technical report, user guide, presentation files and publications.
• Keep up with HTA guidelines, payer requirements and methodological advances, and explain complex findings to technical and non-technical audiences.

Required profile

• Bachelor's or Master's degree in health economics, econometry, statistics, biostatistics, mathematics, operations research, engineering or a related field.
• 3+ years of experience for a Master's degree, 5+ years for a Bachelor's degree, in economic modelling in pharma, biotech or consulting.
• Hands-on experience building cost-effectiveness and budget impact models, and NMA/MAIC.
• Experience supporting HTA submissions or payer evidence generation.
• Excellent English, strong quantitative and analytical skills, project management and time management, and comfort working in a global team across time zones.

Required skills

• Proficiency with Excel, R, SAS or STATA.
• Use of artificial intelligence to improve efficiency.