Postdoc Computational Oncology (Uni Tübingen)
Postdoctoral Researcher (m/f/d) in Computational Oncology
The chair for Applied Bioinformatics at the University of Tübingen, Germany (Prof. Oliver Kohlbacher) is looking for a Postdoctoral Researcher position in Computational Oncology.
Position Details
- Start Date: negotiable, available immediately
- Duration: 3 years (initially)
- Working Hours: Full-time (100%)
- Salary: According to German salary scale TV‑L E13
Job Description
The successful candidate will join an interdisciplinary team focused on applying bioinformatics to personalized oncology. The primary objective is to unravel molecular pathways of cancer by analyzing and integrating multi-omics and clinical data.
Key Responsibilities
- Analyze and interpret multi-omics datasets, including genomic, transcriptomic, and clinical data from over 7,000 cases treated in molecular tumor boards.
- Develop and implement bioinformatics pipelines to identify biomarkers and therapeutic targets.
- Collaborate with clinicians and researchers to translate computational findings into clinical applications.
- Publish research findings in peer-reviewed journals and present at international conferences.
- Mentor junior researchers and contribute to the academic environment of the institute.
Opportunities
- Access to a unique and comprehensive dataset combining genomic and clinical information from a large cohort of cancer patients.
- Potential to establish an independent research group for candidates with a strong publication record and leadership potential.
- Engagement with the University of Tübingen’s vibrant research community and participation in collaborative projects within the Clusters of Excellence ‘Machine Learning for Science’ and ‘Image-Guided and Functionally Instructed Tumor Therapies (iFIT)’.
Requirements
- PhD in Bioinformatics, Computational Biology, or a related field.
- Demonstrated expertise in analyzing high-throughput sequencing data and developing bioinformatics tools.
- Proficiency in programming languages such as Python or R, and experience with relevant bioinformatics software.
- Strong understanding of cancer biology and molecular oncology is advantageous.
- Excellent communication skills and the ability to work collaboratively in a multidisciplinary team
- Previous experience in using machine learning methods will be beneficial
Application Process
Please submit the following documents as a single PDF file:
- Cover letter detailing research interests and career goals.
- Curriculum vitae, including a list of publications.
- Contact information for at least two academic references.
Applications should be sent via email to Claudia.Walter@uni-tuebingen.de no later than August 5, 2025.
Equally qualified applicants with disabilities will be given preference in the hiring process. The University of Tübingen is committed to equal opportunities and diversity. It therefore takes individual situations into account and asks for relevant information.
The University of Tübingen seeks to raise the number of women in research and teaching and therefore urges suitable qualified women academics to apply for this position.