Statistician Computation - Intern at Lilly in China

Statistician Computation - Intern Location: China, Shang Hai-上海 At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Position Overview In this role, you will support data analysis and statistical programming across the drug development lifecycle to ensure data accuracy, quality, and integrity. You will also be actively involved in advancing AI-driven innovation in clinical research, contributing to the development and application of cutting-edge AI use cases that enhance efficiency and decision-making. This position offers a unique opportunity to work at the intersection of statistics, data science, and AI, and to gain hands-on experience in transforming clinical development through digital and intelligent solutions. Key Responsibilities Support the identification, design, and implementation of AI-driven use cases across the clinical development lifecycle. Collaborate with statisticians, data scientists, and cross-functional teams to explore opportunities for automation and AI-enabled optimization. Perform data cleaning, transformation, and management using SAS or other statistical programming tools. Contribute to data submission, review, and quality control processes to ensure compliance with internal and regulatory standards. Participate in the development of innovative analytical workflows that integrate traditional statistics with AI/ML approaches. Learn, apply, and adhere to GCP (Good Clinical Practice) and relevant SOPs (Standard Operating Procedures). Qualifications Currently pursuing a Bachelor’s or Master’s degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related discipline. Experience or familiarity with SAS, R, or Python; exposure to AI/ML concepts is a plus. Understanding of statistical analysis principles and data structures. Strong analytical thinking, attention to detail, and problem-solving capabilities. Effective communication skills with the ability to work collaboratively in a multidisciplinary team. Ability to thrive in a fast-paced, innovation-driven environment and manage multiple priorities. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly