Senior Biostatistician
At a glance
Senior Data Science role at Parexel. China-Shanghai Shinmay · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Lead project teams through delivery, keeping clinical study work on schedule and within budget
- Serve as the client contact for statistical questions and contract matters
- Review colleagues’ datasets, tables, figures and listings, and check your own work for accuracy
- Apply advanced statistical methods and oversee randomizations, analysis plans and clinical study reports
- Support study proposals with design input, sample-size scenarios, budget work and bid presentations
What you bring
- A statistics or related graduate degree, with experience appropriate to the degree level
- Prior SAS programming, plus proficiency in SAS and R
- Study-design expertise for IIT and RWE work, along with experience developing protocols
- Strong understanding of clinical-trial statistics and effective communication with relevant stakeholders
Who this fits
This senior role suits an experienced statistician who can lead project teams, work independently and contribute to business development. You should be comfortable working in a matrix team and communicating in English as well as the local language. The role includes travel to and participation in client meetings. The posting says you should be available for interviews soon.
From the employer
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 (e.g. discussing analysis concepts, presenting, discussing and interpreting study results)
Business Development
- Support of Business Development, e.g. 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
Required Qualifications:
• Study design expertise, specifically for IIT and RWE studies
• Protocol development experience
• Proficiency in SAS and R programming
• Excellent communication skills with relevant stakeholders
• Available for interviews soon
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