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