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.
Key Accountabilities:
Operational Execution
- Production and/or QC of derived datasets and both simple and advanced statistical outputs using efficient programming techniques
- Understand and apply moderately advanced statistical methods
- Coordinate and lead a project team to successful completion of a project within given timelines and budget
- Interact with clients as key contact with regard to statistical and contractual issues
- Assist in the production of analysis plans, statistical reports, statistical sections of integrated clinical reports and other process supporting documents
- Check own work in an ongoing manner to ensure first-time quality
- Provide training in statistical analysis to internal clients
- Proactively participate in and/or lead process/quality improvement initiatives
- Travel to, attend and actively contribute to all kind of client meetings as appropriate (eg discussing analysis concepts, presenting and discussing study results
General Activities
- Mentor and train junior members of the department
- Additional responsibilities as defined by supervisor/manager
Business Development
- Support of Business Development, eg by attending and preparing bid defense meetings
Skills:
- Good analytical skills
- Good project management skills
- Professional attitude
- Attention to detail
- A good understanding of statistical issues in clinical trials
- Prior experience with SAS programming desirable
- Ability to work independently
- Good mentoring/leadership skills
Knowledge and Experience:
- PhD in Statistics or related discipline entry level, MS in Statistics or related discipline with some experience
- The knowledge of pharmacokinetic data is an advantage
- Competent in written and oral English in addition to local language
Education:
- PhD in Statistics or related discipline, MS in Statistics or related discipline
