Scientist Computational Biology (m/w/d) - Oncology

Für wen suchen wir

Wir suchen für unseren Kunden, eine innovative Forschungseinrichtung in Mainz, einen Scientist Computational Biology (m/w/d) -Oncology 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 Scientist Computational Biology (m/w/d) – Oncology, you are responsible for analyzing multi-omics data to drive cancer immunotherapy target discovery.
 

• Analyze large-scale genomic, epigenomic, transcriptomic, and proteomic datasets to identify and prioritize novel tumor-specific antigen targets for cancer immunotherapies.
• Develop and optimize computational pipelines, algorithms, and predictive models to support the discovery of antigen targets for both personalized and off-the-shelf therapeutic approaches.
• Collaborate closely with interdisciplinary teams to design validation strategies and support the experimental verification of candidate targets using molecular and immunological assays.
• Translate complex biological data into actionable insights that contribute to innovative target discovery programs.
• Present research findings and project updates to internal stakeholders, external collaborators, and the international scientific community.
• Contribute to the preparation of scientific publications, presentations, and R&D reports to communicate key discoveries and project outcomes.
• Actively participate in collaborative research initiatives and help drive the advancement of next-generation cancer immunotherapy solutions.

Das bringen Sie mit

• PhD in Computational Biology, Immuno-Oncology, Bioinformatics, or a related data-driven discipline, combined with at least two years of postdoctoral experience in academia or industry.
• Strong scientific background in tumor immunology, cancer biology, and the identification and prioritization of novel immunotherapy targets.
• Proven expertise in reproducible data analysis using Python and/or R, with strong software engineering practices.
• Hands-on experience in the analysis and interpretation of next-generation sequencing (NGS) data.
• Solid understanding of modern computational research infrastructures, including version control systems (e.g., Git), workflow management tools (e.g., Nextflow, Snakemake), relational/non-relational databases, and high-performance computing (HPC) environments.
• Demonstrated experience in leading or contributing to research projects within interdisciplinary and collaborative environments.
• Strong motivation, scientific curiosity, and enthusiasm for working in a dynamic and innovative research setting.