Global HEOR Economic Modelling Senior Associate

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, user's guide, and presentation files and publications.

• Work closely with team lead and 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.

Qualifications

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: +3 years for Master's degree and +5 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.

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.

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