Full-time
The German Cancer Research Center (DKFZ) is one of Europe's largest cancer research centers. “Research for a life without cancer" is the mission of our world-class scientists and all our team members.
We provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network.
Contribute your knowledge, vision, and dedication to create a space where scientific discovery in cancer research is transformed into benefits for human health.
As a treatment and research center for oncological and hematological diseases in children and adolescents, KiTZ is committed to exploring the biology of childhood cancer and closely linking promising research approaches with patient care – from diagnosis to treatment and aftercare.
The Clinical Cooperation Unit "Pediatric Oncology" and the Division of Pediatric Neurooncology at the German Cancer Research Center and the Hopp Children's Cancer Center Heidelberg are jointly seeking a
About the Project:
Responsibilities include large-scale integration of multi-omics and drug sensitivity data, development and maintenance of cohort-based drug response classification applications, and scripting for automated drug screening workflows. The project also involves exploration of high-content imaging datasets; Develop, optimize, and standardize computational pipelines for multi-omics data processing (eg, mutation calling, RNA-seq, methylation, and epigenomic profiling)
Implement, automate, and maintain workflows for drug screening data analysis, including automated data quality control, hit calling, and sensitivity classification
Integrate genomic, transcriptomic, and pharmacologic data across multiple platforms to identify therapeutic vulnerabilities and predictive biomarkers
Generate user-friendly applications and dashboards for data visualization and exploration
Collaborate closely with wet-lab scientists, bioinformaticians, and physicians to design data-driven analyzes for translational studies
Contribute to AI/ML-driven high-content imaging data analysis pipelines for assessing drug effects on cancer cells
Constant support of students and postdocs in basic computational and bioinformatics workflows
D. in bioinformatics, computational biology, computer science, statistics, molecular biotechnology, or a related discipline
Proven experience with Linux/Unix, Python, R, and Bash scripting
Strong background in bioinformatics workflows, multi-omics integration, and/or machine learning
Familiarity with AI-based image analysis and data visualization frameworks (eg, Streamlit, Shiny, or Dash) is an asset
ground in genetics, transcriptomics, or pharmacogenomics data analysis
Understanding of drug screening and functional genomics data
Knowledge of biological data standards and reproducible research principles
Fluent in English (German not required)
Interested candidates should submit the following documents via our online application tool:
Excellent framework conditions: state-of-the-art equipment and opportunities for international networking at the highest level
30 days of vacation per year
Possibility of mobile work and part-time work
Family-friendly working environment
Sustainable travel to work: subsidized Germany job ticket
Unleash your full potential: targeted offers for your personal development to further develop your talents
Our Corporate Health Management Program offers a holistic approach to your well-being
We are convinced that an innovative research and working environment thrives on the diversity of its employees.