Senior Health Economics Modeling Associate

Job Purpose

The purpose of the role is to support the development of health economic models, such as cost-effectiveness and budget impact models, to understand the economic value of clients’ products and interventions.

Key Accountabilities

Within project teams under the guidance and leadership of senior team members, objectives of the role will be to:

• Provide high quality, timely, scientific/strategic solutions to meet client needs
• Conduct and analyse primary and secondary research, which will shape the development of strategic recommendations
• Build and check health economic models, using appropriate software tools, to elucidate and express the economic value of clients’ products
• Systematically search for and synthesise disparate qualitative and quantitative health economic evidence, and interpret meaningfully
• Write, refine, review and critique sections of reports, journal manuscripts and other deliverables for client or external delivery

Other responsibilities associated with the role include the following:

• Professional conduct at all working levels within a client organization and within Parexel
• Complete basic job-related responsibilities, including timesheets, expense reports, maintenance of CVs, project deliverable archiving, participation in internal initiatives/projects or as a mentor as requested by management

Skills

• Strong computing skills (MS Office) including MS Excel (including VBA)
• High analytical ability and basic knowledge of at least one programming language like R, Python, Julia, ...
• A high degree of written accuracy and attention to detail
• Good communication skills, both oral and in writing, especially in the relaying of technical information
• Self-motivation, enthusiasm, ambition and flexibility
• Fluent English

Knowledge and Experience

• Training and experience in health economics including the conceptualization and development of cost-effectiveness and budget impact models
• Experience of programming and software such as SAS, STATA, R, ... is an advantage
• Keen interest in medical research, provision of healthcare and the pharmaceutical industry

Education

• Master’s degree or equivalent in either life science or a quantitative discipline, such as health economics, economics, mathematics or statistics.