Computational Biologist | Computational Biologist (m/w/d)

Job Summary

This role seeks an experienced Computational Biologist or Bioinformatician to drive the development of next-generation RNA-based precision therapies, specifically focusing on programmable RNA switches (tToeholds) for cardiovascular target cells. The professional will be responsible for the rational design, structural modeling, and data-driven optimization of these RNA architectures. Key daily tasks include analyzing bulk and single-cell RNAseq data, performing in silico design, and iteratively improving designs using molecular dynamics (MD) simulation tools and AI-driven approaches. The successful candidate must hold a PhD in a relevant field and possess strong expertise in RNA structure modeling, statistical data analysis, and machine learning using Python and R, while working within Unix-based cluster environments. This position is highly collaborative, requiring close interaction with experimental teams to integrate preclinical data and optimize therapeutic RNA structures.