Yili Chen is a seasoned data scientist at Kyowa Kirin, Inc. in the U.S., where she leverages her extensive expertise in advanced analytics, statistical modeling, and machine learning to drive innovation in the pharmaceutical industry. With a robust understanding of clinical trial processes and operational...
Yili Chen is a seasoned data scientist at Kyowa Kirin, Inc. in the U.S., where she leverages her extensive expertise in advanced analytics, statistical modeling, and machine learning to drive innovation in the pharmaceutical industry. With a robust understanding of clinical trial processes and operational challenges, Yili plays a pivotal role in uncovering deep insights across the patient journey. Her current projects focus on identifying rare disease patients through the application of advanced analytics and real-world data (RWD), which is crucial for developing targeted therapies and improving patient outcomes.
Yili’s proficiency with electronic health records (EHR), genomic data, and clinical trial data allows her to navigate complex datasets and extract meaningful insights that inform strategic decision-making. Her technical skills in deep learning and algorithm development enable her to create sophisticated models that enhance the understanding of patient behaviors and treatment responses. Furthermore, her experience with Snowflake and data analytics tools empowers her to efficiently manage and analyze large volumes of data, ensuring timely and accurate project delivery.
In addition to her technical acumen, Yili is recognized for her creative problem-solving abilities and strong teamwork skills, which foster collaboration across multidisciplinary teams. Her commitment to technical documentation ensures that insights and methodologies are clearly communicated, facilitating knowledge sharing within the organization. Passionate about advancing healthcare through data science, Yili Chen continues to make significant contributions to Kyowa Kirin’s mission of improving patient lives through innovative therapies.
