The Senior Statistician/Manager/Senior Manager in Statistical Innovation is responsible for providing scientific and statistical leadership to support initiatives on designing innovative clinical trials and to evaluate, develop and deploy advanced and novel statistical/analytical modeling and simulations to drive statistical innovation and Machine Learning in Clinical Development.

Responsibilities:

• Actively supports in the evaluation, introduction, development and education of novel statistical and machine learning/deep learning approaches.
• Demonstrates extensive competence in investigating/evaluating complex innovative designs and analysis options using scientific computing and simulations.
• Demonstrates extended understanding and actively seeks to acquire new knowledge in advanced and emerging statistical methods (e.g. Adaptive designs, Bayesian methods, AI/machine-learning, synthetic control, predictive modeling etc.).
• 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, etc.) 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.

• MS or PhD in Statistics, Biostatistics or a highly related field: Senior Statistician requires MS and 4+ years of relevant experience or PhD and no experience required
• Manager requires MS and 6+ years or PhD and 2+ years of relevant experience
• Senior Manager requires MS and 8+ years or 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, etc.) is preferred.
• Proficient in Python, Pytorch, Tensorflow, Keras and Githubs with deep learning experience in RNN, CNN, NLP or imaging.
• 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.

Leadership Skills:

Builds strong relationships with peers and partners to enable higher performance