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A University Hospital in Lübeck is seeking a Senior Scientist in computational biology and bioinformatics for a 9-month contract with the possibility of extension. The research focuses on gene regulation, sequence analysis, and machine learning. The ideal candidate will have a MSc or PhD, strong programming skills in languages like Python, R, or C++, and experience in data analysis. The role supports various projects and includes mentoring students, emphasizing an innovative and collaborative work environment.
The position will be hosted at the Institute of Human Genetics, in the workgroup "Regulatory Genomics" of Prof. Martin Kircher. The bioinformatics group performs research in the fields of sequence analysis, data mining, machine learning and functional genomics (https://kircherlab.github.io/). Understanding how molecular function and gene regulation is encoded in our genomes is one of our fundamental research questions. Our research focuses on computational approaches of identifying functionally relevant genetic changes in disease, development and adaptation. We devise computational approaches (e.g. CADD, CADD-SV, ReMM) to score and identify functionally relevant genetic changes in the human genome. We analyze and model gene regulatory effects from Massively Parallel Reporter Assay (MPRA) and other functional genomics data. Further, we develop more sensitive methods in diagnostics, especially for genome and cell-free DNA sequencing.
Starting date for the position is April 1st, 2026. The contract will be issued for 9 months with the prospect of continuation if additional funding can be secured.
What we offer:
Requirements:
We look forward to receiving your application by 19.01.2026.Please quote the job reference number 27406in your application.
Contact:
For questions about the position, please contact Prof. Martin Kircher: martin.kircher@uksh.de
We live diversity and strongly encourage qualified female scientists to apply. UKSH and the University of Lübeck aim to increase the number of women among faculty and staff. Applications from people with an immigrant background who meet the hiring requirements are encouraged. Disabled candidates who are equally qualified will receive preference.