• Implement advanced machine learning and data integration approaches
• Analyze and interpret single-cell and multiomics high-thoughput sequencing data
• Collaborate with leading wet lab scientists and bioinformaticians at the national and international level

• PhD or equivalent qualification in computational biology, bioinformatics, or a related field in the computational or natural sciences
• Sound knowledge in machine learning algorithms, statistical methodologies, and biological network analysis
• Experience with the analysis and integration of transcriptomic and multiomics data (bulk and single-cell)
• Proficiency in relevant programming languages (e.g. Python, R, etc.), HPC environments (e.g. Slurm), and workflow management systems (e.g. Snakemake)
• To work accurately and being able to conduct independent research, but also enjoying to work in an international and interdisciplinary environment
• Strong written and spoken English language communication skills

This opportunity offers a dynamic environment for professional and personal growth, with access to state-of-the-art laboratories and infrastructure, as well as flexible working hours. It also provides networking opportunities and visibility in high-quality national networks. Additionally, there are many university-offered benefits, including a job-ticket, active health promotion, and childcare options (crèche and kindergarten). The environment is creative and vibrant, situated in an international, science-oriented city that is considered one of the most beautiful in Germany. The salary is internationally competitive, according to the Baden-Württemberg civil service remuneration system (TV-L E13).

Interested?

Applications will be accepted until 31.10.2025 online.