Job Description 700! The number of days we can get therapies faster to patients applying Technology innovation.
ggPMX is an open-source R package developed by the Pharmacometrics group at Novartis to produce diagnostic plots of nonlinear mixed-effect (NLME) models (https://github.com/ggPMXdevelopment/ggPMX). The package is available on CRAN and is currently compatible with Monolix and nlmixr software.
Your responsibilities will include:
In this project, you will work to extend the compatibility of ggPMX to NONMEM, based on existing specifications under the guidance of experienced quantitative scientists.
NONMEM compatibility will enable to extend usage of ggPMX to three of the most popular NLME modeling software, an important and unique feature of our package. This will allow using ggPMX for all internal projects, facilitating productivity, reproducibility and harmonization.
Duration of the internship: 3 months
Minimum requirementsWhat you'll bring to the role:
- Candidates must be enrolled at a university/FH as Master/PhD student in Bioinformatics, Biomedical Sciences, Mathematics/Statistics or Pharmaceutical Sciences/Pharmacy. - Fluent in English (written and spoken) - The ideal candidate should have a very good knowledge of R and significant experience in developing R packages. Knowledge of NONMEM is a plus.
Why consider Novartis:
750 million. That's how many lives our products touch. And while we're proud of that, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people's live ?
We believe the answers are found when curious, courageous and collaborative people like you are empowered to as new questions, make bolder decisions and take smarter risks.
We are Novartis. Join us and help reimagine medicine.
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