Key Responsibilities

• Perform computational analysis of high-throughput sequencing datasets, including:
  • Single-cell RNA and ATAC sequencing
  • Spatial multiomics/transcriptomics (Xenium and similar)
  • Bulk RNA and ATAC-seq
  • CUT&RUN
  • NULISA
• Develop, implement, and optimize bioinformatics pipelines for data processing and analysis
• Integrate multi-omics datasets with clinical and patient-derived data
• Contribute to the development of novel computational approaches for combining large-scale datasets
• Collaborate closely with wet-lab scientists, clinicians, and other computational researchers
• Interpret and present findings to multidisciplinary teams
• Ensure reproducibility, documentation, and proper data management practices

Required Qualifications & Skills

• PhD or MSc in Bioinformatics, Computational Biology, Genomics, or a related field
• Strong programming skills in R and Python
• Proven experience analyzing next-generation sequencing (NGS) data
• Hands-on experience with at least some of the following:
  • Single-cell transcriptomics
  • Epigenomics (ATAC-seq, CUT&RUN, ChIP-seq)
  • Spatial transcriptomics or multiomics
• Experience working with large-scale datasets and high-performance computing environments
• Familiarity with statistical methods for high-dimensional data analysis
• Knowledge of data integration techniques across multiple modalities
• Strong problem-solving skills and the ability to work independently

Desirable Skills

• Experience working with clinical or patient-derived datasets
• Knowledge of rheumatology or immunology
• Experience in machine learning or AI approaches for biological data
• Familiarity with workflow management systems (e.g., Snakemake, Nextflow)
• Experience with cloud computing platforms

What We Offer

• Opportunity to work on impactful, translational research
• Access to cutting-edge technologies and datasets
• Collaborative and interdisciplinary research environment
• Career development and training opportunities

How to Apply

Please submit your CV and a brief cover letter outlining your experience and motivation to: kroenke-labor@charite.de.

Application Deadline: Open end

We are committed to fostering an inclusive and diverse research environment and encourage applications from all qualified candidates.