Job description:

• you will perform bioinformatical and statistical analysis of molecular profiling data including single cell and bulk NGS assays and drive the development and implementation of new technologies.

• develop new bioinformatic workflows and pipelines.

• work together with an interdisciplinary team of bioinformaticians, biologists and physicians.

• support LIT scientists in processing, analysis interpretation and publication of transcriptomic, epigenomic and other high-throughput data.

• improve NGS data analysis algorithms and design novel applications e.g. in the area of single cell sequencing or integration of multi-omic data types.

• you will support researchers by consulting and software training.

Requirements:

• applicants should hold an academic degree (MSc/PhD) in a relevant field (e.g Bioinformatics Informatics, Computational Biology, Biostatistics, Data Sciences preferably with a background in NGS analysis.

• the applicants should be highly self-motivated and be able to develop and pursue research projects independently as well as in collaborations with multi-disciplinary teams.

• experience in statistical data analysis and programming (e.g. R, Python, Perl, C++) as well as workflow managment systems (e.g. snakemake, CWL, Nextflow)

• knowledge of standard bioinformatics tools for analyzing and interpreting Next Generation Sequencing data

• proficiency in written and oral command of English

We offer:

• A varied and exciting role in an innovative research environment

• A dynamic and dedicated team committed to the future of cell therapies

• Comprehensive training on state-of-the-art methods

• Flat hierarchies and short decision-making processes

• Excellent opportunities for professional and personal development

• Flexible working hours to help balance family and career

• Company pension scheme (VBL)

• Annual special payment

• Capital-forming benefits

• Job ticket, and more

The remuneration is based on TV-L.

The Leibniz Institute for Immunotherapy targets to increase the share of women in the workforce. Therefore, qualified female candidates are explicitly encouraged to submit their applications. Moreover, the LIT advocates for the compatibility of family and career.

Disabled applicants (m/f/d) with equal qualifications will receive preferential treatment within the recruitment procedure. Please refer to your disability status already in your application.

Please note that expenses that may arise in the context of an eventual job interview cannot be reimbursed.

For more information, please contact Prof. Dr. Michael Rehli ( michael.rehli@ lit.eu ).

We are looking forward to receiving your detailed application. Please apply via our Online - Application Portal quoting the reference MR-2026-1.

Application deadline is 08 ^st March 2026.