Computational Scientist (d/f/m) in Translational Immunology

Job Responsibilities

1. Development, optimization, and application of robust and reproducible analysis pipelines for multi-omics datasets, including cytometry, proteomics, and scRNA-seq.
2. Collaboration with clinicians, basic researchers, and data scientists involved in research project implementation.
3. Processing, visualization, and interpretation of analysis results within a scientific context (a background in immunology research is advantageous).
4. Engagement in scientific discussions with consortium investigators, the broader scientific community, and other stakeholders.
5. Collaboration with other scientists in our research group concerning omics data analysis.
6. Literature review to stay updated on emerging methods, datasets, and discoveries in the field of multi-omics.
7. Preparation of R&D reports and scientific publications.

Minimum Requirements

1. MSc in Bioinformatics, Natural Sciences, or a related field, with at least two years of full-time practical experience in bioinformatics analysis within a research group in medical life sciences; a relevant PhD is an advantage.
2. Strong programming skills in R and/or Python, with experience in handling and analyzing high-dimensional single-cell datasets (scRNA-seq, cytometry).
3. Extensive experience in multi-omics analysis and biostatistics.
4. Proven experience in research projects within a multidisciplinary environment.
5. Track record of publishing research findings in peer-reviewed journals.
6. Strong project and data management skills.
7. Excellent spoken and written English.

#J-18808-Ljbffr