Bayer is looking to solve the world's toughest challenges in health and hunger, and this role will contribute to evaluating Oncology drug efficacy based on clinical trial data to assist in drug development.
Requirements
- using applied statistics to analyze and interpret aggregate clinical trial data
- using advanced quantitative methods to evaluate safety & benefit-risk profile of Oncology drugs in collaboration with clinical and regulatory teams
- creating interactive data displays using statistical and/or visualization software and/or tools, including SAS, R, Shiny, and/or Python
- applying machine learning & natural language processing methods, including supervised, unsupervised and generative models, to extract patterns and insights from data
- applying artificial intelligence methods to explain the outcomes of machine learning models
- writing code in HTML & JavaScript to develop and maintain interactive web-based data visualizations, dashboards and user interface components
- developing deep generative models, including GANs & VAEs, to generate data to address simulation and imbalance use cases
Responsibilities
- define, develop & implement statistical, data science, and machine learning-based analytical approaches to evaluate Oncology drug efficacy based on clinical trial data
- 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
- lead programming activities to develop & validate data analysis packages for clinical studies
- keep apprised of new quantitative methodologies & tools and provide recommendations for potential use
- communicate scientific findings to internal stakeholders
- applying machine learning & natural language processing methods, including supervised, unsupervised and generative models, to extract patterns and insights from data
Other
- 3 yrs experience in a pharmaceutical and/or biotechnology clinical research environment
- working with clinical drug development process
- adhering to GXP regulations & CDISC standards
- leading projects and/or research teams
- communicating quantitative findings to scientific & non-scientific stakeholders at all levels of the business
