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.