Postdoctoral Researcher in Machine Learning & Non-Invasive Tumor Profiling
Kennziffer: 2025-0089
- Heidelberg
- Vollzeit
- Clinical Cooperation Unit “Multiparametric Methods for Early Detection of Prostate Cancer” and Division „Cancer Genome Research”
„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 German Cancer Research Center is seeking for as soon as possible a
The research departments of Prof. Holger Sültmann (Cancer Genome Research (dkfz.de)) and PD Dr. Magdalena Görtz (Multiparametric methods for early detection of prostate cancer (dkfz.de)) have joined forces to pioneer multi-omics profiling technologies for non-invasive tumor diagnosis and monitoring. Using cutting-edge liquid biopsy approaches, we aim to develop diagnostic panels that transform patient care, with a specific focus on diagnosis and risk stratification of urological tumors.
Your Tasks
We are looking for a highly motivated postdoctoral researcher with a strong biological background and a focus on bioinformatics. The position is ideal for candidates who are passionate about bridging biology and computational science to tackle key challenges in cancer diagnostics and treatment. The core of this role is the development of integrative analysis approaches to establish disease-relevant signatures using NGS data from liquid biomaterials. You will be responsible for the entire workflow from wet lab, NGS data analysis to the integration of data from liquid biopsies, clinical information and medical imaging. To uncover clinically meaningful disease signatures, a close collaboration with the interdisciplinary team of clinicians, wet lab scientists, and computational biologists on the campus is desired.
You will be jointly affiliated with the laboratories of Prof. Sültmann and PD Görtz and will collaborate with partners at the DKFZ (e.g., Dr. Dr. Daniel Hübschmann (hi-stem.de) and Prof. David Bonekamp Deutsches Krebsforschungszentrum (dkfz.de)), the University Hospital of Heidelberg, as well as national and international collaborators.
Your Profile
- Master's degree and PhD in biology, bioinformatics, mathematics, computer science, or a related field
- Previous expertise in NGS data analysis and data management
- Strong interest in translational oncology and a desire to work on biologically focused research projects with high clinical relevance
- Experience in big data analysis, machine learning, and predictive modeling is desirable
- High motivation to work in an interdisciplinary team including clinicians, wet lab scientists, and computational biologists
- Excellent communication skills in English (knowledge of German is an advantage)
For further questions:
PD Dr. Magdalena Görtz, Phone: +49 (0)6221 56-38226
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 mobilen Arbeit und 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
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