Bioinformatics Researcher – Computational Immunology (m/f/d)

We are a computational systems immunology lab in the Department of Medicine 3 - Rheumatology and Immunology investigating autoimmune diseases, including inflammatory arthritis and fibrotic diseases, with a focus on immune-stromal interactions. We integrate insights across multi-omics to generate novel understanding of disease mechanisms, discover targets, and study drug responses in clinical and preclinical settings. Our laboratory has access to advanced single-cell and spatial profiling technologies, including single-cell RNA-seq, spatial transcriptomics (Visium/MERSCOPE) and imaging mass cytometry (IMC), alongside established in vitro and in vivo model systems and close links to clinical research.
Check out our recent relevant publications:

Skin-derived myeloid precursors and joint-resident fibroblasts spread psoriatic disease from skin to joints
( https://www.nature.com/articles/s41590-025-02351-z#citeas ) CD200+ fibroblasts form a pro-resolving mesenchymal network in arthritis
( https://www.nature.com/articles/s41590-024-01774-4#citeas ) Matrix stiffness regulates profibrotic fibroblast differentiation and fibrotic niche activation in systemic sclerosis ( https://www.sciencedirect.com/science/article/pii/S0003496725010258 )

We are looking for a motivated researcher (m/f/d) to join our team. The position is open both to candidates who wish to pursue a PhD alongside the role and to applicants who prefer to contribute as a researcher without enrolling in a doctoral program. In this role, you will contribute to ongoing and new computational projects, develop analysis workflows, and support data-driven discovery across our research program. Please add a cover letter stating your motivation and fit to the role, CV and transcripts to your application.

Tasks

• Analyze high-dimensional multi-omics datasets (including single-cell and spatial data) using state-of-the-art computational methods.
• Develop, implement, and maintain reproducible analysis pipelines (QC, integration, statistics, visualization, reporting).
• Apply statistical and machine learning methods to generate robust biological insights.
  Curate and manage data and metadata to ensure reproducibility, traceability, and efficient downstream analysis.
• Contribute to scientific outputs, including figures, methods, and text for manuscripts and presentations.

Qualification

• Master's degree (or equivalent; completed by the start date) in a quantitative discipline such as Bioinformatics or Computational Biology, or in Biology / Immunology with solid quantitative experience
• Basic understanding of immunology
• Strong programming skills in R and Python
• Practical experience with high-dimensional data analysis (omics preferred)
• Solid understanding of statistics
• Strong motivation and an independent mindset, with the ability to take ownership of projects and work productively
• Excellent written and spoken English

Additional benefical

• Hands-on experience with single-cell RNA-seq

We offer

• Employment according to TV-L (depending on eligibility and final classification)
• Contract initially for 1 year with possibility for extension after positive evaluation
• Working hours: 65% to 100% (based on level of experience)
• The opportunity to contribute substantially to publication-driven projects, with realistic chances for co-authorship on high-impact manuscripts depending on contribution and project needs
• Direct exposure to translational immunology, working at the interface of experimental models and clinically relevant questions
• Access to cutting-edge technologies and datasets, including scRNA-seq, spatial transcriptomics (MERSCOPE), IMC, and CyTOF
• Support for presenting work at international conferences and engaging with an international scientific community
• Access to a strong network of established collaborators and scientists across immunology and rheumatology
• Optional structured PhD training (e.g. via life@FAU) for candidates who wish to pursue a doctorate alongside the role

Contact person

Dr. Hashem Mohammadian
Postdoctoral Researcher
Telefon: 09131 85-39592

Applications

Universitätsklinikum Erlangen
Department of Medicine 3
Prof. Dr. med. Andreas Ramming
Ulmenweg 18
91054 Erlangen