SAP), reportingImplementation and reporting of exploratory biomarker analysesServing clients with ad-hoc data analysis requests and statistical consultingFollowing quality and documentation standards in a GxP environmentSupporting the bioinformatics/statistics team, as well as independent work in diverse and exciting projectsYour profileMaster’s degree / PhD in bioinformatics, computer science, or equivalent education Experience in analysing multiomics and biomarker data (e.
, NGS data including transcriptomics); gene set analysis and clustering is a plusExperience in setting up / executing bioinformatics pipelines using e.
Nextflow, containerisation Solid knowledge and understanding of statistical concepts e.
hypothesis testing, survival analysis, linear models, as well as experience in the application of advanced statistics visualizing, exploring and modeling multivariate data setsVery good programming.
We offer comprehensive individual development opportunities, continuous trainings, and flexible working hours.
A modern and bright office with a subsidised canteen, as well as the opportunity to work 2 days per week from home are part of our everyday working life.
Full remote work from anywhere in Germany.