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パレクセルでの仕事

パレクセルは、臨床開発の上流から下流までのそれぞれの専門領域で、国内外の多くのお客様に高度なソリューションを提供するプロフェッショナル集団です。 パレクセルは、新しい薬や治療法を、それらを必要としている人々にいち早く届けることを目指し、日々の業務に取り組んでいます。

Biostatistician II - FSP

求人ID R0000036376 ロケーション インド 仕事内容

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 (e.g. 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, e.g. 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
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