PhD Student in Computational Biology/Bioinformatics
Join a multidisciplinary team at the German Cancer Consortium to investigate cancer biology through large-scale data integration and genomic analysis.
Best for:Best for bioinformatics or life science graduates with strong programming skills and a passion for cancer research.
Overview
The German Cancer Research Center (DKFZ) and the Institute of Molecular Oncology and Functional Genomics at the DKTK partner site in Munich are seeking a motivated PhD candidate. The successful applicant will focus on investigating fundamental questions in cancer biology by integrating large-scale transcriptomic, genomic, and functional genomics datasets. This role involves working within a collaborative, multidisciplinary environment alongside experimentalists and computational scientists. Candidates are expected to pursue an independent research project while contributing to the team's broader goals in personalized oncology.
What you'll do
- Conduct independent research on fundamental questions in cancer biology.
- Integrate and analyze large-scale transcriptomic, genomic, and functional genomics datasets.
- Collaborate closely with experimental and computational researchers within the team.
- Develop and apply computational methods for processing biological data.
- Contribute to the development of high-throughput screening technologies.
- Participate in multidisciplinary team meetings and scientific discussions.
Requirements
Degree required: MSc degree in bioinformatics, computational biology, or a related field, or a life science degree with substantial computational training.
Degree offered: PhD
Language: Fluency in English is required.
Instruction: English
- Demonstrated hands-on experience in computational biology via research projects or internships.
- Proficiency in Linux/Unix environments and command-line tools.
- Experience with R and/or Python for biological data analysis.
- Solid understanding of applied statistics relevant to genomics research.
- Fluency in English.
- Must provide proof of immunity against measles per the Infection Protection Act (IfSG).
Funding & terms
How to apply
Deadline: 2026-10-08
Applications must be submitted through the official online portal. E-mail and postal applications are not accepted.
- CV
- Cover letter
- Academic transcripts
Contact
Roland Rad· Professor
+49 (0)89 4140 4374
https://www.translatum.tum.de/translatum/forschungsgruppen/rad-roland-experimentelle-krebsgenetik/
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