Global HEOR Economic Modeling Manager

Department: Global Health Economics & Outcomes Research (HEOR)

Job Family: Health Economics

Job Type: Full-Time

Location: Hyderabad, India

Reports To: Global HEOR Modeling Team Lead

The Global HEOR Economic Modeling Manager plays a critical role in supporting Amgen s global market access and health economics strategy through the development of health economic models. This role will partner closely with Global HEOR Product Leads to ensure strong alignment with product strategy. The Economic Modeling Manager will develop cost-effectiveness, budget impact, and other health economic models that reflect clinical and real-world data to inform HTA and payer decision-making.

• Design and develop hands on global core 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.

• Program models in software such as Excel, R, or Python, ensuring accurate integration of clinical, real-world data, epidemiological, and economic inputs.

• Conduct statistical analyses of clinical trial and real-world data to generate inputs including treatment effects, survival extrapolations, resource use, and health utility estimates.

• Design and conduct advanced evidence synthesis, including network meta-analyses (NMA) and matching-adjusted indirect comparisons (MAIC), to inform comparative effectiveness.

• Implement various types of scenario and sensitivity analyses such as univariate, multivariate, and probabilistic analyses to test model robustness.

• Deliverables will include the model structure, programmed model, technical report, users guide, and presentation files and publications.

• Work closely with HEOR Product Leads to ensure economic models follow product strategy.

• Monitor and integrate evolving HTA guidelines, payer requirements, and methodological advancements.

• Interpret complex economic findings to technical and non-technical audiences.

Education

• Bachelor s or Master s degree in health economics, econometry, statistics, biostatistics, mathematics, operations research, engineering or a related field.

Experience

• Years of relevant experience in economic modeling in the pharmaceutical, biotech or consulting setting: +6 years for Master s degree and +8 years for Bachelor s degree.

• Hands-on experience in developing cost-effectiveness, budget impact models, as well as NMA/MAIC.

• Experience supporting HTA submissions or payer evidence generation.

• Proficiency with modeling and statistical tools such as Excel, R, SAS, or STATA.

• 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.

• 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.