Dear all, We have an exciting opportunity for a paid (10-12 week) Ph.D. student-level internship in Pharmacometrics (PMx) at the Lilly Corporate Center (or remote as appropriate). If interested in gaining hands-on experience with PMx modeling and statistical analysis of clinical trial data at different stages of drug development, please email your resume to Nicholas Ellinwood ([email protected]<mailto:[email protected]>).
Position: Internship in Pharmacometrics This is a paid Ph.D. student-level internship at Lilly Corporate Center in Indianapolis (or possibly a remote internship) and requires a 10-12 week commitment in 2021. Start time is negotiable. Department Overview: The scientists in the department of PK/PD & Pharmacometrics at Lilly are leaders in research and development throughout the value chain from preclinical lead molecule identification to clinical post-drug approval with the goal of identifying and developing the right drug with the right dose for the right patient and living the model-informed paradigm of drug research and development. Learning Objectives: * The project will aim to understand how pharmacometric modeling predictions are impacted by different mathematical, statistical, and/or computational approaches to account for placebo effects observed in clinical trials. * This is an exciting opportunity to get hands-on experience with statistical analysis of clinical trial data of different stages of drug development as well as biological and physical systems. * The intern will have the opportunity to work closely with scientists and modelers in the Pharmacometrics (PMx) group and learn about disease modeling in the autoimmune space. Basic Qualifications: * Currently enrolled in a Ph.D. program in a quantitative discipline, such as pharmacometrics, bioengineering, biostatistics, biomathematics, or equivalent degree, and have completed 2 years of post-graduate study. Required Skills: * In-depth understanding of biology and pharmacology. * Knowledge of a diverse set of advanced statistical and computational concepts and methodologies, ideally with practice applying them in the R programming language. * Strong interpersonal, writing, and presentation skills. Preferred Experience: * Exposure to other PMx models, including population PK, PKPD, and QSP models. * A demonstrated interest in applying state-of-the-art statistical methods to clinical and biological data and learning about new cutting-edge quantitative fields. * Proven data science skills with a familiarity with machine learning algorithms. * Strong mathematical and computational background with experience running simulations of systems of ordinary differential equations. Brian A. Willis, PhD Group Leader, Quantitative Systems Pharmacology Research Advisor, PK/PD and Pharmacometrics Eli Lilly and Company Lilly Corporate Center, Indianapolis IN 46285 USA 317.651.1308 (office) | 317.220.9191 (mobile) [email protected]<mailto:[email protected]> | www.lilly.com<http://www.lilly.com/> CONFIDENTIALITY NOTICE: This e-mail message (including all attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure, copying or distribution is strictly prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message.
