The Robert Bosch Center for Tumor Diseases (RBCT) is a new translational cancer research institute located on the Bosch Health Campus in Stuttgart, Germany. We are closely linked to the Robert Bosch Hospital (RBK) and the Institute for Clinical Pharmacology (IKP) and are part of the Comprehensive Cancer Center Stuttgart-Tübingen.
Our mission is to explore the molecular mechanisms that drive tumor growth and metastasis, with the goal of improving cancer patient treatment. Our research focuses on cellular identity regulation through transcriptional and epigenetic mechanisms, using high-throughput omics data.
Aufgaben
- Develop and implement bioinformatics workflows for single-cell RNA-seq and spatial omics data analysis .
- Optimize and apply nextflow/ nf-core pipelines for data processing and analysis.
- Integrate multi-omics datasets to derive meaningful biological insights.
- Perform quality control, normalization, clustering, and trajectory inference on single-cell datasets.
- Analyze spatial transcriptomics data to study tissue architecture and cellular interactions.
- Work on high-performance computing (HPC) environments, ensuring efficient and scalable data processing.
- Develop custom scripts and software tools to enhance analytical capabilities.
- Collaborate with wet-lab scientists to interpret results and refine experimental designs.
- Maintain well-documented, reproducible, and FAIR-compliant workflows.
Profil
- Required Qualifications
- Ph.D. or M.Sc. in Bioinformatics, Computational Biology, Data Science, or a related field .
- Strong experience in single-cell transcriptomics (scRNA-seq, scATAC-seq, etc.) and/or spatial omics analysis.
- Proficiency in R and Python for bioinformatics and statistical analysis.
- Hands-on experience with nf-core pipelines and Nextflow .
- Experience working with high-performance computing (HPC) environments and cloud-based solutions.
- Familiarity with open-source bioinformatics tools for single-cell analysis (e.g., Seurat, Scanpy, Cell Ranger, Squidpy).
- Solid understanding of machine learning approaches applied to biological data.
- Ability to work both independently and as part of a collaborative, interdisciplinary team.
- Strong problem-solving skills and attention to detail.
- Preferred Qualifications
- Experience with visualization techniques for single-cell and spatial omics data.
- Experience with multi-omics integration (e.g., single-cell RNA-seq + ATAC-seq/ ChIP-seq).
- Familiarity with database management and workflow automation.
- Knowledge of statistical modeling and network-based analysis.
- Contributions to open-source bioinformatics projects.
Wir bieten
- A stimulating research environment at the intersection of computational and experimental biology.
- Engage in high-impact research projects that contributes to advances in cancer treatment.
- Opportunities for professional development, co-authorship in scientific publications and conference participation.
- Access to cutting-edge computational infrastructure and datasets.
- Competitive salary and benefits package.
Robert-Bosch-Krankenhaus GmbH
Bitte beziehe Dich bei Deiner Bewerbung auf JOBinStuttgart.de
Arbeitsort
Stuttgart
Mehr zum Job
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