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

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

We are seeking a motivated Postdoctoral Researcher (f/d/m) to join a large research consortium focused on the modulation of graft-versus-host and graft-versus-leukemia responses following allogeneic stem cell transplantation.

• Process and analyze high-throughput multi-omics data, including single-cell RNA‑seq, ATAC‑seq, and spatial transcriptomics
• Integrate complex omics datasets to refine cell‑type annotations and functional states
• Develop novel algorithms and tools for visualization and analysis of cellular interactions and signaling pathways
• Leverage machine learning and multi-omics approaches to identify diagnostic and prognostic markers for different immune cell populations
• Develop computational models to simulate molecular signaling (e.g., receptor‑ligand interactions) and their impact on systemic physiological adaptations and immune responses
• Create and maintain reproducible bioinformatics workflows for a collaborative network of immunology and hematology laboratories
• Present complex data findings to interdisciplinary teams and lead the preparation of scientific publications
• Ph.D. in Bioinformatics, Informatics in the Natural Sciences, Biostatistics or a related discipline with intensive training/experience in bioinformatics
• Proficiency in R, Python and/or Perl
• Expertise in machine learning and high-dimensional data analysis
• Expertise in the analysis of single-cell sequencing and other omics data types
• Experience with Unix/Linux environments and version control
• Strong interest or background in immunology, oncology, or transplant medicine
• A solid understanding of statistics
• Strong oral and written communications skills in English
• Ability to work independently
• A clear sense of organization, purpose, and accountability

Command of the German language is not a requirement.

• A fixed-term position for the remaining funding period of the project (through the end of 2029; total duration depends on the earliest possible start date)
• A stimulating research environment with access to cutting‑edge facilities and collaboration with leading experts in the field
• An exciting job within a motivated, open‑minded team
• All the benefits of a collective agreement, including a supplementary pension from the Federal and State Pension Institution (VBL), with us as a systemically relevant employer in the public sector
• Opportunities for professional development, international conferences, and career advancement
• A comprehensive range of health promotion services
• Thorough and qualified on‑the‑job training