Lead a dedicated team focused on clinical bioinformatics, driving innovation and ensuring robust, scalable solutions for translational and clinical research. You build strong collaborations, manage projects end-to-end, and help turn complex data into clear, actionable results for physicians.

• Lead and mentor a team of bioinformatics analysts and software engineers
• Ensure analyses and workflows are reproducible, scalable, and suitable for clinical and translational contexts
• Continuously evaluate and integrate new technologies and analytical approaches into research
• Oversee projects from start to finish, including scope definition, planning, risk management, and documentation
• Develop and extend pipelines using Nextflow and Snakemake, and set standards for workflow engineering and documentation
• Take responsibility for project timelines, quality, and stakeholder alignment
• Build relationships with researchers, clinicians, and partners to shape projects and clarify deliverables
• Turn complex, multimodal data into clear outputs for physicians, such as dashboards and web-based reports
• Work closely with clinicians to understand their needs and keep interfaces simple
• Stay updated on developments in bioinformatics, AI, and data-driven medicine, and translate new methods into clinical solutions
• Collaborate with Software Engineering, Systems Operations, Biostatistics, and Screening & Lab Automation teams
• Recruit, mentor, and develop team members, encouraging knowledge exchange and high standards
• Plan capacity, prioritize work, and help with budgeting and reporting for the group

• Proven leadership experience in clinical bioinformatics, genomics, or translational research
• Hands-on experience developing and extending analysis pipelines and reusable components
• Experience with workflow management using Nextflow and/or Snakemake, and ability to set team standards
• Daily practice with Git version control
• Strong communication and stakeholder management skills, especially with clinicians
• Excellent English communication skills
• Solid programming skills in Python or R, with good code quality habits (reviews, testing, documentation) strongly expected
• Experience with a range of data types, from variant calling and expression analyses to single-cell sequencing
• Experience with quality control and reporting in genomics or transcriptomics
• Advantageous: experience in statistics or advanced software engineering, HPC usage, and Bash
• Knowledge of German is a plus

• Flexible working hours and family-friendly working models
• Training opportunities for professional growth
• Work in a broad and exciting field at the cutting edge of translational research
• Flat hierarchies and a team-oriented culture with knowledge exchange
• Inclusive and diverse environment that values equal opportunity
• Commitment to sustainability and working towards a climate-neutral future