About the role
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.
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