Senior Manager, Statistics

Role Summary

The Senior Research Statistician/Manager/Senior Manager in Statistical Innovation provides scientific and statistical leadership to design innovative clinical trials and to evaluate, develop and deploy advanced statistical/analytical modeling and simulations to drive statistical innovation in Clinical Development.

Responsibilities

• Actively supports in the evaluation, introduction, development and education of novel statistical and/or machine learning/deep learning approaches.
• Demonstrates extensive competence in investigating/evaluating complex innovative designs and analysis options using scientific computing, modeling and simulations.
• Demonstrates extended understanding and actively seeks to acquire new knowledge in advanced and emerging statistical methods (e.g., Adaptive designs, Bayesian methods, synthetic control, predictive modeling).
• Applies imagination. Creates, invents, and implements new or better approaches, alternatives, and breakthrough ideas in modeling and simulations.
• Demonstrates ability to apply statistical knowledge to solve real-world problems. Demonstrates the ability to evaluate alternative statistical and machine learning approaches.
• Shows proficiency in development, implementation, and rollout of statistical and deep learning tools and techniques (e.g., using R, R-shiny, Python, Julia) to operationalize key innovative methodologies.
• Builds and maintains external reputation and influences industry with presentations, attending industry meetings, or authoring articles for peer-reviewed publications.
• Job level will be commensurate with experience.

Qualifications

• PhD in Statistics, Biostatistics or a highly related field.
• Senior Research Statistician: PhD with no experience required
• Manager: PhD and 2+ years of relevant experience
• Senior Manager: PhD and 4+ years of relevant experience
• Experience in pharmaceutical development and applied statistics/statistical consulting preferred.
• Advanced knowledge of statistical modeling and methodology and good understanding of drug development process.
• Demonstrated experience in advanced statistical computing & simulation skills. Proven expertise in standard (e.g., SAS, R) and specialized statistical software (e.g., FACTS, EAST) is preferred.
• Proven ability to collaborate and consult with discipline experts and leaders within and across function.
• Excellent communication skills, both oral and written
• Excellent teamwork and leadership skills
• Passionate about statistical innovation and always think out of the box and is never satisfied with status quo

Skills

• Statistical innovation
• Statistical computing and simulation
• Machine learning / deep learning tools (R, Python, R-shiny, Julia)
• Collaboration and cross-functional communication

Education

• PhD in Statistics, Biostatistics or a highly related field.

Additional Requirements

• Significant Work Activities: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hr day) is required