Working Student Data Scientist in Healthcare

• 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

Do you have experience in R?, * 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

Staburo GmbH is a data science company, specialized in statistical consulting, programming and bioinformatics for healthcare projects. Our core competencies include Clinical Statistics, Translational Medicine & Biomarkers, Phase I & Pharmacokinetics/-Dynamics, Data Transparency & Disclosure Services, Health Technology Assessment and Bioinformatics. Our customers are international pharmaceutical companies, CROs, biotech companies and medical device manufacturers. Our steadily growing team supports our clients efficiently from study design to data analysis and finally the disclosing and posting of trial results.     If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.