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Master or equivalent in molecular biology, immunology, bioinformatics, systems biology, or comparable topics
- Strong research background in immunology, cell biology, and genomics or transcriptomics
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Strong interest in omics technologies and computational analysis
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Practical experience in multi-color flow cytometry, molecular and cell biology, and transcriptomics is of advantage
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Experience with cell culture, flow cytometry, or animal models is highly desirable, as is proficiency in programming languages such as R or Python for high‑dimensional data analysis
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Practical experience in working with mice as animal models is of advantage.
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Practical knowledge of data analysis and machine learning using R or Python is of advantage
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Very good English proficiency
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Enthusiastic and collaborative work attitude
- Ability to work independently as well as in a team
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Excellent communication skills, a collaborative mindset, and a passion for addressing impactful questions in systems medicine are essential
The Systems Medicine group at the DZNE Bonn site is a diverse, international team that investigates how chronic inflammation, aging, exposome, and neurodegenerative diseases intersect with the immune system. Our current research focuses on per‑ and polyfluoroalkyl substances (PFAS), ubiquitous environmental contaminants, and aims to uncover the molecular mechanisms by which PFAS exposure alters immune function, especially in older individuals and in the context of non‑communicable diseases.
If you are eager to contribute to transformative research that bridges environmental exposure and immune health, we encourage you to apply.
For more general information, please also visit the website of Systems Medicine.
https://www.dzne.de/en/research/research-areas/systems-medicine/
