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Are you ready to make your mark in the healthcare industry using your ingenuity and technical expertise? At Parexel, there's no limit to what you can accomplish. We work with the top 50 global pharmaceutical companies, the top global biotech companies, and hundreds of small and emerging companies. We've supported the development of some of the most important treatments of our time, including nearly all of the 50 top selling drugs currently on the market. Join us and you'll make a profound difference in millions of lives. With a role in our Information Technology group, you'll work with cutting-edge technology on internal and client-facing projects. Collaborating with people from all over the world and touching everything from enterprise systems and clinical applications to infrastructure and networking, you'll keep our data safe and confidential. You'll have the chance to develop your skills and pursue advancement opportunities that include managerial and technical tracks. If you have stellar coding and design experience and a passion to learn more about healthcare, Parexel invites you to discover our rewarding opportunities in Enterprise Architecture, Software Development, Project Management and Business Analysis, and more. In a global clinical trial environment, business-focused applications, connectivity, and data security are critical to a trial's outcome. Find out how you can be an invaluable part of our success story.
Principal Biostatistician
Job ID R0000037450Parexel is hiring a Principal Biostatistician to work remotely. The Principal Biostatistician works independently on all level complexity clinical trial projects, often with major regulatory impact. The person will be recognized internally and externally as a statistical expert.
Location: United States - Remote
Key Accountabilities:
Operational Execution
Provide broad statistical support, including trial design, protocol and CRF development on specific studies
Lead production and quality control of randomization, analysis plans, statistical reports, statistical sections of integrated clinical reports and other process supporting documents
Perform sample-size calculations, generate randomization lists and write statistical methodology sections for inclusion in study protocols
Provide statistical input into Data Monitoring Committee (DMC) activities, including development of DMC charters and analysis plans
Provide a supporting role as a non-voting independent statistician providing data and analysis for DMC review
Business Development
Support of Business Development, 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
General Activities
Understand regulatory requirements related to the specific therapeutic areas and the implications for statistical processing and analysis
Understand, apply and provide training in extremely advanced and sometimes novel statistical methods
Contribute to the development and delivery of internal and external statistical training seminars and courses
Review position papers based on current good statistical practice
Interact with clients and regulatory authorities
Review publications and clinical study reports
Travel to, attend, and actively contribute to all kind of client meetings as appropriate (e.g. discussing analysis concepts, presenting and discussing study results)
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
Ability to clearly describe advanced statistical techniques and interpret results
Familiarity with regulatory/research guidelines on drug development, GCP, and statistical principles (especially ICH guidelines)
Prior experience with SAS programming required
Ability to work independently
Good mentoring/leadership skills
Good business awareness/ business development
Knowledge and Experience:
PhD or MS in Statistics or related discipline with substantial 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
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