We’re looking for an R coder, preferably with some Excel VBA coding knowledge as well, to build economic models. Most importantly, the person is adept at building models in R and wrapping in a Shiny app. The types of modeling experience (economic, health economic, econometric) can be varied as the knowledge of coding models is the most important experience.
Ideally, we’d like a long term, full-time person who can come into the office (based in Los Angeles, CA) at least twice per week. Our work is in the pharmaceutical and medical device industries, with evolving methods and lots of room for real impact and innovation.
The job will mainly entail building economic models (cost-effectiveness / Markov, cost-consequence, value-based pricing) in Excel and R.
Introduction to R
R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.
R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity.
One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. Great care has been taken over the defaults for the minor design choices in graphics, but the user retains full control.
R is available as Free Software under the terms of the Free Software Foundation’s GNU General Public License in source code form. It compiles and runs on a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux), Windows and MacOS.