Biostatistician II

The Biostatistician II works independently in the programming and quality control of derived datasets and all kind of statistical outputs (eg, tables, listings and figures), works under the supervision of an experienced biostatistician in the production of analysis plans and reports, provides basic statistical advice to clients and fulfils the project primary role within a designated project team.

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 3-6 Years of 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.