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 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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