Bioinformatics Scientist (m/w/d) – Immunogenomics

Für wen suchen wir

Wir suchen für unseren Kunden, eine innovative Forschungseinrichtung in Mainz, einen Bioinformatics Scientist (m/w/d) – Immunogenomics in Direktvermittlung.

Vorteile des Kunden

• attraktive Vergütung 70.000 EUR - 72.000 EUR brutto p.a.
• Dynamisches, innovatives Forschungsumfeld mit starker Expertise in der Immuntherapieforschung
• Offene, kollegiale und respektvolle Arbeitskultur
• Vielfältige und inklusive Teamstruktur
• Zugang zu einem GPU-beschleunigten HPC-Cluster sowie modern ausgestatteten Laboren mit fortschrittlichen Sequenzierungs- und molekularen Analysetechnologien
• Leistungsorientierte Vergütung und zusätzliche Sozialleistungen
• Individuelle Möglichkeiten zur fachlichen und persönlichen Weiterentwicklung
• Deutschlandticket mit Arbeitgeberzuschuss
• Fahrradleasing (BusinessBike)
• Möglichkeit zum hybriden Arbeiten

Der Job

As a Bioinformatics Scientist (m/w/d) – Immunogenomics, you combine computational biology and AI/ML approaches to drive antigen discovery and advance cancer immunotherapy research.
 

• Lead the analysis of clinical and preclinical datasets to identify predictive and prognostic immunogenomic features associated with disease progression and therapeutic response, contributing to next-generation antigen discovery.
• Design, develop, and continuously optimize scalable and robust computational pipelines to characterize disease-specific immunogenomic landscapes.
• Develop, train, validate, and benchmark AI/ML models to improve antigen discovery and predict immunotherapy efficacy.
• Collaborate with experimental teams to support the validation of candidate targets through molecular and immunological assays.
• Communicate scientific findings through internal discussions, international conferences, R&D reports, and peer-reviewed high-impact publications.

Das bringen Sie mit

• Ph.D. in Computational Biology, Bioinformatics, or a related data-driven discipline, combined with at least two years of postdoctoral research experience in academia or industry.
• Strong scientific expertise in immunogenomics, antigen discovery, and the application of machine learning/AI methods in biomedical research.
• Proven experience in the analysis of next-generation sequencing (NGS) data, particularly whole-exome sequencing (WES), whole-genome sequencing (WGS), and RNA-seq datasets.
• Experience in copy number variation analysis and/or tumor evolution modeling is considered a strong advantage.
• Advanced programming skills for reproducible data analysis in Python and/or R.
• Hands-on experience with version control systems (e.g., Git), workflow management tools (e.g., Nextflow, Snakemake), and high-performance computing (HPC) environments.
• Strong communication and collaboration skills, with the ability to contribute effectively across multiple interdisciplinary research projects.
• High level of scientific curiosity, motivation, and enthusiasm for working in a dynamic and innovative research environment.