- Development of R Shiny Apps for various data science applications in healthcare
- Hands-on data processing and analysis of high-dimensional clinical data (e.g., biomarkers, gene expression)
- Support in Data Science projects as well as (non-)clinical development in all study phases
- Identification of subgroups, e.g., by using cluster analysis or principal component analysis
- Statistical programming and development of reusable programs (e.g., functions, marcros), data visualization and output generation
- Development of R packages, e.g., subgroup analysis or cutoff determination
- Studies in statistics, mathematics, data science, or a similar direction
- Knowledge on basic and advanced statistical methods, e.g., hypothesis testing, multivariate analysis
- Advanced programming skills in R, experience with development of R packages, would be an advantage
- Strong analytical and quick-learning skills
- Precise and accurate way of working
- Team player and a high degree of initiative
- Good English skills, German is an advantage
- As a working student (f/m/d), you are available for up to 20 hours per week, whereby you can flexibly adjust your working hours to your schedule – starting immediately! We value communication, flat hierarchies, open corporate culture, and a harmonious work environment. We offer comprehensive individual development opportunities, even after your studies, continuous trainings, and flexible working hours. A modern and bright office with a subsidised canteen is part of our everyday working life. You will join an interdisciplinary team allowing you to discuss with and learn from peers with many different backgrounds.If you have any questions, please feel free to contact us by e-mail application@staburo.de.
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Staburo GmbH
A company that values communication, flat hierarchies, open corporate culture, and a harmonious work environment
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