Postdoctoral Researcher (m/f/d)

University of Regensburg; Regensburg; Hybrid; EUR 52,000 - 68,000; Part time

Benefits offered by this job

Flexible hours

Partial remote work

High-performance computing

Job summary

The University of Regensburg invites applications for a Postdoctoral Researcher in Computational Immunology within the Faculty of Informatics and Data Science. The role focuses on developing statistical and computational methods and collaborating with experimental labs to advance immunology research.

You will publish in international journals, contribute to teaching in English, supervise students, and assist in grant proposals.

Qualifications

• PhD in bioinformatics or computational biology is required.
• Solid background in statistical modeling and data analysis.
• Experience with sequencing data and single-cell transcriptomics is advantageous.
• Proficiency in at least one of R, Python, or Java.
• Strong publication record and English communication skills.

Responsibilities

• Conceptualize and implement novel statistical/computational methods.
• Lead data-analytic projects with experimental collaborators.
• Publish high-impact research and present at international conferences.
• Contribute to teaching activities in English within the faculty.
• Supervise PhD, Master, and bachelor students.
• Draft grant proposals and maintain open-source software.

Skills

Statistical modeling

High-dimensional data analysis

Machine learning

R/Python/Java

Git / software practices

English communication

Education

PhD in bioinformatics or computational biology

Tools

GRAND-SLAM

PRICE

Git

Job description

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.