[R-jobs] Internship opportunities at Novartis Integrated Quantitative Sciences

[vwaltz .]

Multiple internship opportunities at Novartis Integrated Quantitative
Sciences are available for outstanding graduate students. Positions include:

A. Decision Support Tool: Under guidance, build a live real-world decision
support tool for users.  Requirements: Facility with R/Shiny and
Javascript; statistical or operational modeling.  Relational databases and
Linux shell scripting are desirable.  Must be thorough, committed to
completion and willing to rapidly learn tools as needed.

B. Bayesian modeling tools with Stan:  Create re-usable tools for the
Bayesian modeling of pharmacometrics data that can integrate diverse data
sources (including pre-clinical, in-silico model predictions, etc.).  Using
the latest Stan’s facilities (http://mc-stan.org) develop
templates/functions for compartmental PK models and indirect response PK/PD
models.  Produce documentation in the form of a modeling report and a
presentation.  Requirements:  Second or third year PhD student in
(bio)statistics, machine learning, computer science, engineering or related
discipline.  Strong computing background, including R experience (ideally
already familiar with Stan and/or C/C++).  Familiarity with basic Bayesian
inference and software.

How to Apply:  For these and other positions apply directly at
http://www.novartis.com/careers/job-search/index.shtml
Search and apply separately to positions 161931BR and to 161524BR

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