Bioinformatician (m/f/d)05.03.2025 Robert-Bosch-Krankenhaus GmbH Stuttgart
Weitere passende Anzeigen:
Jobmailer
Ihre Merkliste /
Mit Klick auf einen Stern in der Trefferliste können Sie sich die Anzeige merken
1
Passende Jobs zu Ihrer Suche ...
... immer aktuell und kostenlos per E-Mail.
Sie können den Suchauftrag jederzeit abbestellen.
Es gilt unsere Datenschutzerklärung. Sie erhalten passende Angebote per E-Mail. Sie können sich jederzeit wieder kostenlos abmelden.
Bioinformatician (m/f/d)
Drucken
Teilen
Stuttgart
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
©