I am part of the Product Owner Hub helping develop and execute the Digital Strategy for Pharma Clinical.

The Applied Machine Learning Group (AML) strives for the application of a data-driven approach to drug research and development by developing and utilizing best-in-class machine learning (ML) models to optimize R&D processes. The implementation of ML algorithms accelerates drug discovery and a platform to monitor and self-train models enables portfolio view of our capabilities, allowing us to become more focused. We envision to work in a fast-paced setting, we expect to fail quickly and adapt swiftly, all while expanding your ML capabilities. We also believe in making the right choices not only for our immediate team but decisions to build solutions catered to broader R&D. The success at AML will be measured by bucketing the benefit of the developed capability into one or more of these three buckets, (1) Savings in time (2) Savings in cost (3) Generation of new insights

Our vision at Data Science Services & Solutions, DS3, is to Enable, Scale, and Operationalize R&D Data Science & AI capabilities to achieve Clinical Research and Development Speed, Efficiency, and Optimization. Learn more about our areas of responsibility, capabilities, strategic priorities, and collaborations. For more information, contact DS3 Head: Abi Velurethu. Artwork created using Stable Diffusion.

My name is Sandra Ille but I like to be called Sandy instead. I’ve been working for Bayer since November 2013 in the HR department. I’ve been an HRBP since I started and have always worked within the R&D organization since starting with Bayer. Currently I’m on a STA as a Global Talent Lead for the DS&AI organization. I reside in Bergenfield, NJ with my fiancé. I have a 24 year old son who is my greatest achievement and success. I have a BS and MS from West Virginia University.