Informationen zur Anzeige:
Bioinformatician (m/f/d)
Stuttgart
Aktualität: 05.03.2025
Anzeigeninhalt:
05.03.2025, Robert-Bosch-Krankenhaus GmbH
Stuttgart
Bioinformatician (m/f/d)
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.
Qualifikationen:
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.
Berufsfeld
Bundesland
Standorte