Key Accountabilities:
- Provide advise and expertise in statistical methods and techniques to internal Statisticians and Programmers.
- Represent Biostatistics
- Participate in business development.
- Act as key contact regarding customer relationship management activities.
- Establish and maintain sound working relationships and effective communication with Clients and global Early Phase biostatistical group.
- Organise and participate in Client and team meetings.
- Identify and facilitate training needs in collaboration with Line Managers.
- Manage quality issues.
- Monitor productivity.
- Participate in preparation of audits / inspections, audits and any follow up activities.
- Awareness of Revenue Recognition and associated tasks and timelines.
- Effectively communicate with internal and external customers as well as third party vendors.
- Prioritise effectively and respond to urgent requests within internal group and the Client.
Skills:
- Experience in all tasks of a Trial Statistician.
- Proven knowledge in Statistics and its applications to clinical trials.
- Proven knowledge of statistical software packages.
- Good communication and presentation skills.
- Possess strong negotiation, diplomacy, team leadership skills and excellent organizational ability.
- Excellent interpersonal, verbal and written communication skills.
- Ability to identify and address issues proactively in a timely manner.
- Ability to make appropriate decisions in ambiguous situations.
- Carefully weighs the priority of project tasks and directs team accordingly.
- Excellent computer literacy.
- Demonstrate a sound knowledge of all relevant regulations, including GCP.
- Good team player.
Education:
- A Ph.D. degree or equivalent in statistical science, mathematical analysis or related field plus 4 years relevant experience or a master\'s degree plus 6 years relevant experience.
- Comprehensive knowledge of statistical theory and methods and demonstrated ability to apply it to all phases of clinical trials.
- Expertise in SAS programming including statistical analysis, data manipulation and scientific graphing.
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