Computational Biologist
Kennziffer: 2024-0383
- Heidelberg
- Full-time
- Precision Sarcoma 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 Precision Sarcoma Research Group is seeking for the next possible date a
Our group is seeking a computational biologist to join the efforts of the consortium “DECIPHER-M: Deciphering Metastasis with Multimodal Artificial Intelligence Foundation Models” (Coordinators: Daniel Truhn, RWTH Aachen; Jakob Niklas Kather, EKFZ Digital Health & TU Dresden). This 5-year consortium will be initiated at the beginning of 2025 and is funded by the German Federal Ministry of Education and Research (BMBF) under “Major unanswered questions in cancer research” in the framework of the National Decade against Cancer.
Ihre Aufgaben:
The candidate will focus on the establishment and execution of single-cell and spatial omics analysis workflows, followed by the application of these data to deconvolute mechanistic processes from artificial intelligence-based composite signatures derived from foundation models, which in turn, are generated from multimodal clinical and molecular profiles of patients with metastatic cancer. The successful candidate will lead this project within a multidisciplinary team of molecular biologists and clinicians, overseeing the design, execution, and coordination of research activities as well as scientific communication.
Ihr Profil:
- PhD or equivalent in bioinformatics, computational biology, cancer biology or similar
- Strong background in analyzing and integrating large-scale bulk multi-omics datasets, experience in single-cell and spatial-omics approaches
- Proficiency in programming languages such as R and Python, bash scripting and deep learning frameworks
- Ability to acquire and process data from sequencing facilities or public resources, work with HPCs, run, adapt existing pipelines (in-house or nf-core) and develop new ones
- Strong publication record, including lead authorships, with experience in collaborative research and supervision of students or interns
- Comprehensive knowledge of cancer biology and cancer genomics, maintained through rigorous literature review and applied to data interpretation and project advancement
- Demonstrated ability to work both independently and collaboratively, with high self-initiative, a strong work ethic, and team-oriented mindset
Applications must include a CV, cover letter, complete list of publications, references or recommendation letters, and expected availability date. Incomplete applications will not be considered.
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 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
Sie sind interessiert?
Dr. Priya Chudasama
Telefon: +49 6221 42 1600
