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Data scientist/bioinformatician Omics Analysis Innate Immunity (EN)

Exzellenzcluster CMFI | Ab sofort

Innate Immunity is a vital part of the human immune system, controlling immediate innate effector responses and shaping subsequent adaptive immunity. In order to understand innate immunity better and harness its translational potential for new therapies in infection, inflammation and cancer, our lab is studying innate immune signaling pathways in human primary cells and patients. We are using omics analyses on the genetic, transcriptional and proteomics level in combination with our wet lab experiments and clinical studies, to infer makeup and dynamics of immune responses. For bioinformatic analysis and data integration we opened a data scientist/bioinformatician position over the next 4 years.

Topics to get involved in | Neutrophil extracellular traps in skin immunity and psoriasis; NLRP3 inflammasome
signaling; MyD88-driven lymphoma; Interplay of cellular senescence and innate immunity.

Suggested reading | Bittner, ..., Weber AN. BTK operates a phospho-tyrosine switch to regulate NLRP3 inflammasome activity. J Exp Med. 2021;218(11):e20201656; Herster F, ..., Weber AN. Neutrophil-extracellular trap-associated RNA (naRNA) and LL37 enable self-amplifying inflammation in psoriasis. Nat Commun 2020; 11(1):105; Knittel, ... Weber AN, ... , Reinhardt HC. B cell-specific conditional expression of Myd88p.L252P leads to the development of diffuse large B cell lymphoma in mice. Blood. 2016 Jun 2;127(22):2732-41.

The team | In order to execute this project and complement our laboratory team we hope to recruit bright and
enthusiastic researchers, including one data scientist/bioinformatician. You would be part of a dynamic and
collaborative research group with a solid track record, and located in an excellent scientific environment, the
Department of Immunology located on the campus of the University of Tübingen, one of Germany’s Excellence
Universities. The work will connect to multiple ongoing projects in our friendly, well-connected and international
(German and English speaking) environment. You will find a firm commitment to good supervision and professional development. Links with the University’s bioinformatics hub, the Center of Quantitative Biology
(QBiC) are well established and will provide opportunities for collaboration, trouble-shooting and skill development.

Further information | Please visit our website. Position to start 07/2023 or asap thereafter, Duration: 4 years, Remuneration: German TV-L E13 65-100% (depending on qualification) position, depending on level of experience. Application open NOW → apply ASAP

Your profile | Masters degree (or equivalent) in bioinformatics; documented bioinformatics experience in
programming (e.g. R, python) and methods for RNAseq, flow or other high dimensional data analysis; additional
research experience in data science desirable; high motivation to work independently and as part of a team; good
command of the English language (written and spoken); both German and international applications encouraged.
International applicants will be supported to attend German courses. German skills not required to apply successfully.

Your application | Please apply electronically to alexander.weber@uni-tuebingen.de with all of the following:
Cover/motivation letter (max 1 A4), CV, transcripts and certificates of MSc and BSc degree. Please include a detailed summary of programming skills, languages and analysis capabilities. If available, include a support letter from a previous supervisor and TOEFL/IELTS English proficiency information. Applications will be reviewed on an ongoing basis and interviews scheduled accordingly.