Senior Scientist, Biostatistics

Key Skills

Biostatistics, Design, Effective communication skills, R Programming, Statistics

Job Description

• Provide statistical solutions to drug / vaccine research and development (R&D) projects.
• Ensure that sound scientific principles and statistical methods are applied to designing and analyzing non-clinical and clinical studies.
• Interact with people with diverse background and expertise, including research scientists, clinical scientists, regulatory experts, IT specialists, and their teams in MRL.
• Serve as statistical representative in the cross-functional teams for product discovery and development.
• Ensure that study designs are consistent with program objectives and meet worldwide regulatory and marketing needs.
• Identify technical or other potential problems arising in the design, conduct, and analysis of non-clinical or clinical studies, propose solutions and carry them out.
• Identify opportunities to add value to drug / vaccine discovery and development programs. Analyze data and interpret results from non-clinical or clinical studies.
• Apply and implement basic and complex statistical techniques to these analyses.
• Orally present and prepare written reports to effectively communicate analysis results to audience with diverse background and expertise.
• Provide responses to queries relating to study design, analysis, and interpretation posed by the research scientists, clinical scientists, and regulatory agencies.
• Participate in research activities for innovative statistical methods.

Education Minimum Requirements:

• Must possess a Ph.D. (or its US equivalent) in Statistics, Biostatistics, Data Science or related disciplines or a Master’s degree (or its US equivalent) in Statistics, Biostatistics, Data Science or related disciplines with a minimum of 4 years of relevant work experience.
• Solid knowledge of statistical principles and methodologies and strong oral and written communication skills are required.
• Must possess demonstrated strong programming skills, especially in R language; interest in statistical methodology research and in application of novel methods to real-world problems; and ability to learn, be proactive and motivated, and consistently focus on details and prompt execution.
• Ability to function well both independently and collaboratively and ability to collaborate with scientists and work on multidisciplinary teams also required.
• Telecommuting permitted. 
• 40 hours per week: M-F: 9am-5pm. 
• Must have proof of legal authority to work in the United States