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.
Key Accountabilities:
Operational Execution
Coordinate and lead a project team to successful completion of a project within timelines and budget
Interact with clients as key contact with regard to statistical and contractual issues
Perform QC of derived datasets, tables, figures and data listings produced by other members of the department
Check own work in an ongoing way to ensure first time quality
Understand and apply advanced statistical methods
Lead production and quality control of randomizations, analysis plans, statistical reports, statistical sections of integrated clinical reports and other process supporting documents
Provide a supporting role as a non-voting independent statistician providing data and analysis for DMC review
Travel to, attend and actively contribute to all kind of client meetings as appropriate (eg discussing analysis concepts, presenting, discussing and interpreting study results)
Business Development
Support of Business Development, eg by actively contributing to study design considerations in internal and client meetings, providing and discussing sample size scenarios, support of budget and proposal development, attending and preparing bid defense meetings for potential studies, programs of work and FSPs
General Activities
Additional responsibilities as defined by supervisor/manager.
Skills:
Good analytical skills
Good project management skills
Professional attitude
Attention to detail
Thorough understanding of statistical issues in clinical trials
Prior experience with SAS programming required
Ability to work independently
Good leadership skills
Good business awareness/ business development
Willingness to work in a matrix environment and to value the importance of teamwork
Knowledge and Experience:
PhD in Statistics or related discipline with some experience or MS in Statistics or related discipline with significant 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
Originally posted on Himalayas