Lead, mentor, and develop a team of Global HEOR Economic Modelers to ensure dedication and continuous professional growth.
Provide technical direction and oversight for the development of economic models, including cost-effectiveness/cost-utility (e.g., markov, partitioned survival model), cost minimization, budget impact, and other techniques, as appropriate.
Drive innovation and standardization in health economic modeling methodologies across portfolio.
Ensure alignment of modeling activities with HEOR TA Heads and product strategies.
Maintain expert-level understanding of global HTA requirements and evolving payer needs, integrating them into the team's economic modeling approaches.
Oversee model documentation and ensure quality control and compliance with internal and external standards.
Contribute to hiring, training, and performance evaluations within the team.
Continuously improve workflows, tools, and methodologies to enhance efficiency and quality of work.
Basic Qualifications:
Doctorate degree in Health Economics, Econometry, Biostatistics, Mathematics, Engineering or a related field
2 years of experience in health economic modeling within the pharmaceutical, biotechnology, or consulting sectors OR,
Master's degree in Health Economics, Econometry, Biostatistics, Mathematics, Engineering or a related field
8 to 10 years of experience in health economic modeling within the pharmaceutical, biotechnology, or consulting sectors OR,
Bachelor's degree in Health Economics, Econometry, Biostatistics, Mathematics, Engineering or a related field
10 to 14 years of experience in health economic modeling within the pharmaceutical, biotechnology, or consulting sectors
Diploma in Health Economics, Econometry, Biostatistics, Mathematics, Engineering or a related field
14 to 18 years of experience in health economic modeling within the pharmaceutical, biotechnology, or consulting sectors
3+ years of experience in team management capacity.
Consistent track record of supporting HTA submissions and payer evidence generation globally.
Expert proficiency with modeling and statistical tools such as Excel, R, SAS, or STATA.
Skills & Competencies:
Strong leadership and key customer engagement skills.
Excellent English oral and written communication, with ability to tailor content to different customers.
Advanced quantitative and analytical abilities with exceptional attention to detail.
Deep knowledge of HTA processes and payer landscapes across major markets.
Innovative use of artificial intelligence to boost efficiency.
