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Graduate student internship in Pharmacometrics at Eli Lilly

From: Brian A Willis <willisba>
Date: Wed, 7 Apr 2021 19:21:52 +0000

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 remo=
te as appropriate). If interested in gaining hands-on experience with PMx m=
odeling and statistical analysis of clinical trial data at different stages=
 of drug development, please email your resume to Nicholas Ellinwood (n.ell=
inwood


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 co=
mmitment in 2021. Start time is negotiable.
Department Overview:
The scientists in the department of PK/PD & Pharmacometrics at Lilly are le=
aders in research and development throughout the value chain from preclinic=
al lead molecule identification to clinical post-drug approval with the goa=
l 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 d=
evelopment.
Learning Objectives:

  * The project will aim to understand how pharmacometric modeling predic=
tions are impacted by different mathematical, statistical, and/or computati=
onal approaches to account for placebo effects observed in clinical trials.
  * This is an exciting opportunity to get hands-on experience with stati=
stical analysis of clinical trial data of different stages of drug developm=
ent 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 mod=
eling in the autoimmune space.
Basic Qualifications:

  * Currently enrolled in a Ph.D. program in a quantitative discipline, s=
uch as pharmacometrics, bioengineering, biostatistics, biomathematics, or e=
quivalent 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 pr=
ogramming 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 meth=
ods to clinical and biological data and learning about new cutting-edge qua=
ntitative fields.
  * Proven data science skills with a familiarity with machine learning a=
lgorithms.
  * Strong mathematical and computational background with experience runn=
ing 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)
willisba
lly.com/>


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Received on Wed Apr 07 2021 - 15:21:52 EDT

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