At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where 'Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice. As a Sr. Clinical Quantitative Scientist for Whippany, NJ, you will define, develop & implement statistical, data science, and machine learning-based analytical approaches to evaluate Oncology drug efficacy based on clinical trial data. You will use statistical modeling & machine learning methods to derive scientific insights from clinical data to assist drug development, lead development, testing & prototyping of quantitative models and tools, and lead programming activities to develop & validate data analysis packages for clinical studies. You will keep apprised of new quantitative methodologies & tools and provide recommendations for potential use, as well as communicate scientific findings to internal stakeholders.