Senior Scientist Bioinformatics (m/f/d)

As a Senior Scientist Bioinformatics, you will lead the analysis and integration of transcriptomic and multi-omics data, including RNA-seq and spatial transcriptomics, from both clinical trial samples and public datasets. You will translate complex data into actionable biological insights, supporting biomarker discovery and patient stratification while collaborating closely with cross-functional teams to advance clinical development.

Your responsibilities include:

• Analyze and interpret complex transcriptomic and multi-omics datasets, including bulk and single-cell RNA-seq, spatial transcriptomics, proteomics, metabolomics, and ctDNA analysis
• Integrate data from diverse sources, including publicly available datasets (e.g., TCGA and GEO) and clinical trial samples, to generate biologically meaningful insights 
• Develop, implement, and optimize computational pipelines for processing and analysis of high-throughput sequencing data 
• Ensure high data quality through robust quality control, normalization, and reproducible analysis workflows 
• Organize, manage, and maintain large-scale datasets in a structured and accessible manner 
• Document analytical methods, workflows, and results to ensure transparency and reproducibility 
• Provide scientific leadership for assigned research projects by proactively building structured research plans and driving execution in alignment with company strategy and translational objectives
• Translate research questions into clear analytical strategies and guide projects from data-driven hypothesis generation to actionable conclusions
• Stay current with advances in bioinformatics and emerging technologies, and apply innovative methods where appropriate 
• Collaborate closely with scientists, clinicians, and cross-functional teams to interpret data and inform experimental design 
• Communicate findings effectively through presentations, reports, and contributions to scientific publications 
• Contribute to collaborative research projects that support biomarker discovery and clinical development

•    Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related field

• The opportunity to contribute to the advancement of a promising clinical-stage oncology program
• A role within a dynamic biotech company at the forefront of innovative cancer therapies
• A collaborative and supportive team environment with a strong sense of shared purpose
• Flexible working arrangements, including the option for partial remote work while maintaining regular on-site collaboration
• A secure, permanent employment contract
• A competitive compensation package and attractive employee benefits