We seek for a passionate Bioinformatics Data Analyst (m/f/d) to support the analysis of complex biological data in our Systems Immunology & Medicine unit. We are an interdisciplinary team of scientists, PhD students, and software engineers passionate about developing bioinformatics tools and predictive models for therapeutic targets against cancer and other diseases. In close collaboration with other teams at TRON, as well as with external partners, we apply our computational approaches and models to progressively improve the efficacy of immunotherapies, in particular cancer immunotherapies. The successful candidate will analyze multi-omics data, such as high-throughput sequencing data from cancer patients, with innovative internally developed and publicly available software solutions and support the analysis of the resulting data using statistical and machine learning methods Bioinformatics Data Analyst (m/f/d) Process and analyze internal and publically available genomic, transcriptomic and proteomics data using innovative software solutions Support PhD students, engineers and scientists in multiple projects with reproducible and best practices bioinformatic data analysis Support the benchmarking and systematical testing of internal and public detection pipelines with experimental confirmation data Contribute to the development of innovative data analysis solutions Critically evaluate analysis results, present and discuss these in internal meetings and contribute to R&D reports and publications A M.S.c degree in (Bio-)Informatics, Computer Science or a comparable study program At least two years of work experience in bioinformatic data analysis Strong expertise in reproducible bioinformatics data analysis in Python or R Experience analyzing next-generation sequencing (NGS) data Hands-on expertise with version control systems (e.g., git), workflow managers (e.g., Nextflow or Snakemake), and high-performance computing environments Proficiency in data visualization and interpretation Experience with data analysis of mass spectrometry-based proteomics and immunopeptidomics is a plus Comfortable working in a dynamic and evolving environment A dynamic, innovative, and creative research environment with strong expertise in immunotherapies An open, collegial, and supportive working atmosphere in a respectful organizational culture A highly diverse and inclusive workforce TRON - Translationale Onkologie an der Universitätsmedizin der Johannes Gutenberg-Universität Mainz gemeinnützige GmbH Access to our GPU-accelerated HPC cluster and laboratories with cutting-edge sequencing technologies and molecular assays Performance-based remuneration and other benefits Opportunities for personalized professional development Convenient access via public transport and car as well as bicycle parking spaces The possibility of hybrid working arrangements