Postdoctoral Researcher (m/f/d)

Postdoctoral Researcher (m/f/d) Computational Immunology Faculty of Informatics and Data Science

Entry date: as soon as possible Volume of Employment: 40h / week Salary: TV-L E13 Duration: for 4 years

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 and PRICE)

Active support for your academic career development, including opportunities for independent research, grant writing, teaching, and student co-supervision

State-of-the-art high-performance computing infrastructure and an international, interdisciplinary team

Flexible working arrangements (including flexible hours and partial remote work) to support diverse life situations

Your tasks:

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, taught in English) 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

Your profile:

An excellent doctorate (PhD) in bioinformatics or computational biology is required

Solid practical and theoretical expertise in statistical modeling, high-dimensional data analysis, and machine learning is required

Advanced programming proficiency (preferably in R, Python, or Java) and familiarity with software engineering best practices (e.g., Git, package development) are essential

A proven track record of scientific publications in international peer-reviewed journals and excellent English communication skills are required

Active commitment to academic teaching and student mentoring is expected; prior supervisory experience is a plus

Hands-on experience with the analysis of sequencing data (e.g., transcriptomics, single-cell genomics) is advantageous

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.

The temporary employment is for scientific qualification with a contract duration of 4 years (§ 2 para. 1 WissZeitVG). The position is suitable for part-time work.

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