Health Economics Associate

Job description

When our values align, there's no limit to what we can achieve.   At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do. Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference. Contribute to the development of health economic models that evaluate the cost-effectiveness of health technologies for global reimbursement applications. Perform data analysis, assist in model building, and support senior team members in project execution. Key Accountabilities: Project Execution • Provide high quality, timely, scientific/strategic solutions to meet client needs • Work on existing Health Economics models and start with country adaptations. • Check health economic models, using appropriate software tools, to elucidate and express the economic value of clients’ products • Systematically search for health economic models published in the scientific literature as well from Health Technology Assessment (HTA) bodies. Skills: • Strong computing skills (MS Office) • Excel knowledge at high level including writing of macros and VBA • High analytical ability • 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, another European language will be an asset • Keen interest in medical research, provision of healthcare and the pharmaceutical industry Knowledge and Experience: • 2+ yrs of experience of programming and software such as VBA, SAS, R is an advantage. • Training and/or experience in health economics and/or outcomes would be an advantage. • Experience in a relevant role would be advantageous. Education: • Master’s degree or equivalent in either life science or a quantitative discipline, such as health economics, economics, mathematics or statistics.