Bioinformatician (Spatial Image Analysis)
Kennziffer: 2025-0154
- Heidelberg
- Full-time
- Single-cell Open Lab
„Forschen für ein Leben ohne Krebs“ – das ist unsere Aufgabe am Deutschen Krebsforschungszentrum. Wir erforschen, wie Krebs entsteht, erfassen Krebsrisikofaktoren und suchen nach neuen Strategien, die verhindern, dass Menschen an Krebs erkranken. Wir entwickeln neue Methoden, mit denen Tumore präziser diagnostiziert und Krebspatient:innen erfolgreicher behandelt werden können. Jeder Beitrag zählt – ob in der Forschung, in der Administration oder der Infrastruktur. Das macht unsere tägliche Arbeit so bedeutungsvoll und spannend.
For the next possible date the Single-cell Open Lab at the German Cancer Research Center (DKFZ) is looking for a
The Single-cell Open Lab is offering a position for a bioinformatician to support the analysis of spatial omics data as part of Multispace within the Health and Life Science Alliance Heidelberg-Mannheim (https://www.health-life-sciences.de/multispace/).
Our lab provides lab infrastructure to facilitate both single-cell and spatial omics projects. We work closely with the very active research community in Heidelberg on a variety of research questions. Specifically, we aim to support multi-omics workflows, such as combining spatial transcriptomics, proteomics and metabolomics, by collaborating with other core labs across the campus. Integration of diverse datasets from the same or consecutive tissue sections will be crucial to build comprehensive molecular maps. Furthermore, we work closely with companies on advancing the field and as well as serve as beta testers for new technologies.
YOUR TASKS
We are looking for a research scientist to
- conduct bioinformatic analyses of spatial / imaging data, especially for benchmarking new instruments and technology advancements,
- build transferable analysis frameworks and data sharing schemes,
- support and educate users in running these, and
- actively contribute to ongoing initiatives, such as iofast for FAIR spatial data.
Thus, the candidate should have strong computational skills and be driven to enable our collaborators to conduct high-quality research, interact with interdisciplinary teams, contribute to hackathons, and metadata schemes for FAIR data.
YOUR PROFILE
- Master's and PhD degree in systems / quantitative biology, physics, mathematics or computer science
- Ability to independently solve complex scientific / technical problems
- Programming skills (e.g., R and Python)
- Experience in complex image analysis, preferably in the field of spatial transcriptomics and proteomics
- Knowledge in system administration is a plus
- Interest in molecular oncology
- Self-motivated and capable to communicate results in an interdisciplinary team
- An excellent written and oral command of English is essential
Unser Angebot:
- Hervorragende Rahmenbedingungen: modernste state-of-the-art Infrastruktur und Möglichkeit zum internationalen Austausch auf Spitzenniveau
- 30 Tage Urlaub
- Flexible Arbeitszeiten
- Vergütung nach TV-L inkl. betrieblicher Altersvorsorge und vermögenswirksamer Leistungen
- Möglichkeit zur mobilen Arbeit und Teilzeitarbeit
- Familienfreundliches Arbeitsumfeld
- Nachhaltig zur Arbeit: Vergünstigtes Deutschland-Jobticket
- Entfalten Sie Ihr volles Potenzial: gezielte Angebote für Ihre persönliche Entwicklung fördern Ihre Talente
- Unser betriebliches Gesundheitsmanagement bietet ein ganzheitliches Angebot für Ihr Wohlbefinden
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