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

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

Masters 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