Health Economics Associate- Modelling

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.