Postdoctoral Researcher (m/f/d)

Postdoctoral Researcher (m/f/d) Computational Immunology

We Offer

• An internationally leading, well-funded research environment at the intersection of data science, RNA biology, and immunology
• Access to unique primary datasets through close collaborations with renowned international experimental labs, offering strong potential for high-impact publications
• The opportunity to contribute to and shape our widely used open-source software ecosystem (GRAND-SLAM/PRICE)
• Active support for your academic career development, including opportunities for independent research, grant writing, teaching, and student co-supervision
• Access to high-performance computing infrastructure and an international, interdisciplinary team
• Flexible working arrangements (including flexible hours and partial remote work) to support diverse life situations

Our research group is internationally leading in developing computational and statistical methods for metabolic RNA labeling data, with a strong focus on single-cell technologies (scSLAM-seq). We combine rigorous statistical modeling and high-performance software development (e.g., GRAND-SLAM, PRICE) with cutting-edge applications in RNA biology, virology, and immunology. Our interdisciplinary team works at the interface of data science and high-throughput molecular biology, maintaining close collaborations with experimental labs worldwide to decode the temporal dynamics of gene regulation.

Tasks & Responsibilities

• Conceptualization, mathematical derivation, and implementation of novel statistical and computational methods
• Leading data-analytical projects in close collaboration with our network of experimental research partners in immunology and virology
• Writing high-impact scientific publications and presenting research findings at leading international conferences
• Active contribution to teaching activities (lectures, seminars, and practical courses) within the study programs of the Faculty of Informatics and Data Science
• Co-supervision and mentoring of PhD, Master, and Bachelor students in the group
• Assistance in drafting grant proposals and maintaining open-source scientific software packages

Qualifications

• A completed doctoral degree (PhD) in bioinformatics, computational biology, statistics, computer science, data science, or a related quantitative discipline is required

Abilities & Skills

• Strong expertise in statistical modeling, high-dimensional data analysis, and machine learning, along with advanced programming proficiency (preferably in R, Python, or C/C++), is essential
• A proven track record of scientific publications in international peer-reviewed journals and excellent English communication skills are required
• Motivation and commitment to participate in academic teaching and student mentoring are expected
• Experience with the analysis of sequencing data and mathematical/statistical modeling are advantageous
• Practical knowledge of software engineering best practices (e.g., package development, Git) and prior mentoring experience are a plus

We support women and strongly encourage them to apply. As a certified family-friendly university, we support our employees in balancing family and career.

Applicants with a disability as described in SGB IX (

• 2 Abs. 2, 3) will be preferred in case of equal qualifications.