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AI Summary
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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