Data Scientist - Bioinformatics, Machine Learning and Systems Immunology | Data Scientist - Bioinformatics, Machine Learning and Systems Immunology (f/d/m)

Universitätsklinikum Erlangen AöR

Erlangen, Bayern, Deutschland
Published Apr 9, 2026
Part-time
No information

Job Summary

This role involves joining a high-profile research consortium at Erlangen University Hospital focused on graft-versus-host and graft-versus-leukemia responses following stem cell transplantation. As a Postdoctoral Researcher, you will be responsible for processing and analyzing high-throughput multi-omics data, including single-cell RNA-seq, ATAC-seq, and spatial transcriptomics. Your daily work will include developing novel algorithms for cellular interaction visualization, leveraging machine learning to identify diagnostic markers, and creating reproducible bioinformatics workflows for a collaborative network of laboratories. This position is particularly attractive for those seeking to apply advanced computational methods to real-world clinical challenges in immunology and oncology. You will work in a stimulating research environment with access to cutting-edge facilities, benefiting from a public sector collective agreement and a fixed-term contract through 2029.

Required Skills

Education

Ph.D. in Bioinformatics, Informatics in the Natural Sciences, Biostatistics, or a related discipline with intensive training in bioinformatics.

Experience

  • Professional experience in high-dimensional data analysis and machine learning
  • Experience in the analysis of single-cell sequencing and other omics data types
  • Professional experience with Unix/Linux environments and version control systems
  • Demonstrated experience in developing computational models and bioinformatics workflows
  • Experience in presenting complex findings to interdisciplinary teams and leading scientific publications

Languages

English (Fluent)

Additional

  • The position is fixed-term through the end of 2029. German language skills are explicitly stated as not required. Candidates should have a strong interest or background in immunology, oncology, or transplant medicine.