Postdoctoral Scientist for Artificial Intelligence in Oncology
Kennziffer: 2024-0357
- Heidelberg
- Full-time
- Artificial Intelligence in Oncology
„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.
The lab of Prof. Dr. Moritz Gerstung is seeking a
To support the work on spatial genomics analyses of brain tumours, the Division of Artificial Intelligence in Oncology is seeking a postdoctoral scientist to join the team as soon as possible. These ongoing large-scale studies investigate the molecular mechanisms governing the microanatomical organisation across the spectrum of brain tumours [1].
The work is based on spatial transcriptomics, proteomics and genomics methods which provide a detailed molecular read out for millions of cells found in tumour tissues [2]. The lab develops and uses a range of data science and AI methods to distill biological knowledge from these large spatially resolved data sets and to extract biomarkers of disease progression [3,4]. This work is also closely related to efforts in digital pathology which provides the means to translate spatial genomics findings to a routine clinical setting [5,6].
References:
[1] Z. Seferbekova, A. Lomakin, L. R. Yates, and M. Gerstung, “Spatial biology of cancer evolution,” Nat. Rev. Genet., vol. 24, no. 5, pp. 295–313, May 2023.
[2] A. Lomakin et al., “Spatial genomics maps the structure, nature and evolution of cancer clones,” Nature, vol. 611, no. 7936, pp. 594–602, Nov. 2022.
[3] L. Marconato et al., “SpatialData: an open and universal data framework for spatial omics,” Nat. Methods, Mar. 2024, doi: 10.1038/s41592-024-02212-x. Available: http://dx.doi.org/10.1038/s41592-024-02212-x
[4] V. Kleshchevnikov et al., “Cell2location maps fine-grained cell types in spatial transcriptomics,” Nat. Biotechnol., Jan. 2022, doi: 10.1038/s41587-021-01139-4. Available: http://dx.doi.org/10.1038/s41587-021-01139-4
[5] A. Shmatko, N. Ghaffari Laleh, M. Gerstung, and J. N. Kather, “Artificial intelligence in histopathology: enhancing cancer research and clinical oncology,” Nat Cancer, vol. 3, no. 9, pp. 1026–1038, Sep. 2022.
[6] Y. Fu et al., “Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis,” Nat Cancer, vol. 1, no. 8, pp. 800–810, Aug. 2020.
Ihre Aufgaben:
In this role, the candidate will engage in all relevant steps of the aforementioned research projects. This includes experimental design, development of statistical and AI methods, computational analyses of large data sets, manuscript writing and reproducible documentation. You will work in close collaboration with AI specialists, computational biologists, clinicians and experimentalists. Due to the sizeable complexity within these projects, the candidate is encouraged to help shape these projects, explore their own areas of interest, and contribute new ideas and approaches to our research efforts.
Ihr Profil:
- Master's and PhD degree in life or physical sciences with focus on bioinformatics
- Strong academic track record evidenced by peer-revied publications, preprints or other research outputs such as code repositories
- Deep understanding of data science methodologies
- Coding proficiency in Python, including PyTorch and other machine learning libraries
- Knowledge of cancer biology
- Affinity for collaborative work across discipline boundaries, international experience is an asset
- Proficiency in spoken and written English
Unser Angebot:
- Hervorragende Rahmenbedingungen: modernste state-of-the-art Infrastruktur und Möglichkeit zum internationalen Austausch auf Spitzenniveau
- Vergütung nach TV-L inkl. betrieblicher Altersvorsorge und vermögenswirksamer Leistungen
- 30 Tage Urlaub
- Flexible Arbeitszeiten
- Möglichkeit zur Teilzeitarbeit
- Familienfreundliches Arbeitsumfeld
- Nachhaltig zur Arbeit: Vergünstigtes Deutschland-Jobticket
- Unser betriebliches Gesundheitsmanagement bietet ein ganzheitliches Angebot für Ihr Wohlbefinden
- Entfalten Sie Ihr volles Potenzial: Zugang zum DKFZ International Postdoc Program und dem DKFZ Career Service mit gezielten Angeboten für Ihre persönliche Entwicklung fördern Ihre Talente
Sie sind interessiert?
Eileen Haage
Telefon: +49(0)6221/42-4522
