TRON -Translationale Onkologie an der Universitätsmedizin der JGU Mainz gemeinnützige G...
55131 Mainz am Rhein - Deutschland
Bioinformatiker/in
Vollzeit
ab 11.01.2026
Beschreibung
We seek for a passionate Computational Scientist (m/f/d) as an expert for multi-omics analysis to join our Systems Immunology & Medicine unit. We are an interdisciplinary team of scientists, PhD students, and software engineers passionate about developing bioinformatics tools and predictive models for therapeutic targets against cancer and other diseases. In close collaboration with other teams at TRON, as well as with external partners, we apply our computational approaches and models to progre...
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We seek for a passionate Computational Scientist (m/f/d) as an expert for multi-omics analysis to join our Systems Immunology & Medicine unit. We are an interdisciplinary team of scientists, PhD students, and software engineers passionate about developing bioinformatics tools and predictive models for therapeutic targets against cancer and other diseases. In close collaboration with other teams at TRON, as well as with external partners, we apply our computational approaches and models to progressively improve the efficacy of immunotherapies, in particular cancer immunotherapies.
The successful candidate will analyze clinical and preclinical multi-omics data, such as high-throughput sequencing, Ribo-seq and proteomics, and investigate how to exploit those data to improve antigen discovery and prioritization.
Use multi-omics data (e.g. proteomics, Ribo-Seq, TCR-Seq) from clinical and preclinical studies to improve antigen discovery
Compare, develop and maintain best-practise computational pipelines to analyse omics data such as proteomics and Ribo-Seq
Analyze large cohorts of multi-omics data (i.a. genomic, transcriptomic, translatomic, proteomic) to identify and prioritize novel disease-specific candidate antigens relevant for immunotherapies
Support the implementation of novel multi-omics technologies through bioinformatic expertise
Contribute to the design of validation strategies and collaborate on confirming targets through molecular and immunological assays
Present and discuss in internal meetings and on international conferences, write R&D reports and scientific publications
Ph.D. in Computational Biology, or a related data-driven field with at least 2 years of postdoctoral research experience in academia or industry
Demonstrated scientific expertise in multi-omics analysis (e.g. proteomics, immunoeptidomics, Ribo-Seq) and proficiency in analyzing next-generation sequencing (NGS) data is a must
Any experience in the field of antigen discovery is a plus
Excellent programming skills for reproducible data analysis in Python or R
Hands-on expertise with version control systems (e.g. git), workflow managers (e.g. Nextflow or Snakemake), and high-performance computing environments
Excellent communication skills and a collaborative approach, with the ability to contribute effectively to multiple projects simultaneously TRON - Translationale Onkologie an der Universitätsmedizin der Johannes Gutenberg-Universität Mainz gemeinnützige GmbH
Experience leading research projects in a multidisciplinary environment and comfortable working in a dynamic and evolving environment
Enthusiasm and curiosity for the diverse activities of our research institute completes your profile.
A dynamic, innovative, and creative research environment with strong expertise in immunotherapies
An open, collegial, and supportive working atmosphere in a respectful organizational culture
A highly diverse and inclusive workforce
Access to our GPU-accelerated HPC cluster and laboratories with cutting-edge sequencing technologies and molecular assays
Performance-based remuneration and other benefits
The opportunity for personalised further training
Job ticket (Deutschlandticket) incl. employer allowance
Bike leasing (Businessbike)
The opportunity for hybrid working
The successful candidate will analyze clinical and preclinical multi-omics data, such as high-throughput sequencing, Ribo-seq and proteomics, and investigate how to exploit those data to improve antigen discovery and prioritization.
Use multi-omics data (e.g. proteomics, Ribo-Seq, TCR-Seq) from clinical and preclinical studies to improve antigen discovery
Compare, develop and maintain best-practise computational pipelines to analyse omics data such as proteomics and Ribo-Seq
Analyze large cohorts of multi-omics data (i.a. genomic, transcriptomic, translatomic, proteomic) to identify and prioritize novel disease-specific candidate antigens relevant for immunotherapies
Support the implementation of novel multi-omics technologies through bioinformatic expertise
Contribute to the design of validation strategies and collaborate on confirming targets through molecular and immunological assays
Present and discuss in internal meetings and on international conferences, write R&D reports and scientific publications
Ph.D. in Computational Biology, or a related data-driven field with at least 2 years of postdoctoral research experience in academia or industry
Demonstrated scientific expertise in multi-omics analysis (e.g. proteomics, immunoeptidomics, Ribo-Seq) and proficiency in analyzing next-generation sequencing (NGS) data is a must
Any experience in the field of antigen discovery is a plus
Excellent programming skills for reproducible data analysis in Python or R
Hands-on expertise with version control systems (e.g. git), workflow managers (e.g. Nextflow or Snakemake), and high-performance computing environments
Excellent communication skills and a collaborative approach, with the ability to contribute effectively to multiple projects simultaneously TRON - Translationale Onkologie an der Universitätsmedizin der Johannes Gutenberg-Universität Mainz gemeinnützige GmbH
Experience leading research projects in a multidisciplinary environment and comfortable working in a dynamic and evolving environment
Enthusiasm and curiosity for the diverse activities of our research institute completes your profile.
A dynamic, innovative, and creative research environment with strong expertise in immunotherapies
An open, collegial, and supportive working atmosphere in a respectful organizational culture
A highly diverse and inclusive workforce
Access to our GPU-accelerated HPC cluster and laboratories with cutting-edge sequencing technologies and molecular assays
Performance-based remuneration and other benefits
The opportunity for personalised further training
Job ticket (Deutschlandticket) incl. employer allowance
Bike leasing (Businessbike)
The opportunity for hybrid working
Ref-Nr.: 8329049
Aktualisiert:
14.01.2026
Quelle: Bundesagentur für Arbeit
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
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