Computational researcher in multi-modal data integration for kidney cancer Full-time NEW

Our Bioinformatics and Computational Pathology Group at the Institute of Pathology, Erlangen, develops computational approaches for the analysis of multi-omics and digital pathology data to support disease dissection and patient stratification. We work with real-world data in a highly interdisciplinary environment fostering translational research at the interface of computational sciences, molecular pathology, and clinical oncology.

Within a large European research project on immunotherapy response in kidney cancer, we are now looking for a highly motivated

Computational researcher (f/m/d)

to join our team. The position can be filled at either PhD or postdoctoral level. The remuneration will be according to qualifications and based on TV-L.

Job description:

• you will develop and implement computational methods for multi-modal data integration, combining histopathological imaging data with (spatial) omics, as well as clinical data to dissect interactions between tumor and microenvironment in kidney cancer;
• you will collaborate with other project partners to generate actionable clinical insights;
• you will communicate findings in meetings, publications, and international conferences.

Essential requirements:

• academic degree (MSc/PhD) in a relevant field (e.g., computer science, bioinformatics, informatics, computational sciences);
• strong proficiency in machine learning and statistics;
• strong proficiency in Python and/or R;
• familiarity with working in a Linux/Unix environment;
• fluency in English (both written and spoken);
• excellent communication and teamwork skills in an interdisciplinary environment.

Desirable qualifications:

• prior experience in deep learning approaches for omics and/or imaging data;

• experience working in a translational research environment.

How to apply:

Interested candidates should apply by 31 May 2026 with: a motivation letter (max. 1 page), an academic CV, copies of certificates, list of publications (particularly relevant for postdoctoral candidates), as well as contact information of at least two references. Please combine all these documents in a single PDF and send them to PD Dr. Fulvia Ferrazzi (fulvia.ferrazzi(at)uk-erlangen.de) and Ahmed Gomaa (ahmed.gomaa(at)uk-erlangen.de) with the subject “Application_Computational_Researcher_<name_surname>”.  Only complete applications will be considered.

Contact for further information: Dr. Fulvia Ferrazzi, tel. +49-9131-8543677.

Tagged as: Computer Science, Life Sciences