PhD Statistician

We are looking for a PhD statistician with expertise in advanced computing techniques, simulations, machine learning (ML), and artificial intelligence (AI). 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 modeling and simulation 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 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. Qualifications • PhD in Statistics, Biostatistics or a highly related field. • Experience in pharmaceutical development and applied statistics/statistical consulting preferred. • Advanced knowledge of statistical modeling and methodology and good understanding of drug development process.