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]> |
http://www.lilly.com/
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