Scientist in Computational Biology
Kennziffer: 2025-0155
- 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 at the German Cancer Research Center and the National Center for Tumor Diseases Heidelberg (Head: Dr. Priya Chudasama) is seeking for the next possible date a
We are seeking a computational biologist to join the efforts of the consortium “DECIPHER-M: Deciphering Metastasis with Multimodal Artificial Intelligence Foundation Models”. This 5-year consortium is funded by the German Federal Ministry of Education and Research (BMBF) under “Major unanswered questions in cancer research” in the framework of National Decade against Cancer.
DECIPHER-M consortium is a multi-institutional effort to transform the understanding and clinical management of metastasis, by creating foundation models using routinely collected clinical data, including pathology images, radiology imaging, electronic health records, as well as multi-omics data. This position offers an exciting opportunity to work at the intersection of cancer biology, spatial multi-omics, and artificial intelligence.
More information:
https://digitalhealth.tu-dresden.de/projects/decipher-m/
https://www.dkfz.de/en/precision-sarcoma-research
Ihre Aufgaben:
The successful candidate will join a highly interdisciplinary team of molecular biologists, pathologists, oncologists, radiologists, and data scientists to play a pivotal role in developing multi-modal data analysis and integration workflows, as well as downstream dissection of metastasis-associated multimodal signatures derived from the foundation models to gain new biological insights.
Key tasks include, but are not limited to
- Develop and implement computational pipelines for the analysis and integration of spatial multi-omics and other multimodal datasets
- Design and fine-tune machine learning and deep learning models to extract meaningful patterns and predict metastatic behavior
- Collaborate closely with experimentalists for mechanistic dissection of multimodal signatures to contribute to the identification of diagnostic or prognostic biomarkers, or therapeutic targets
- Lead the collaborative initiative, communicate findings in joint meetings, publications and international conferences
- Assist in the mentoring of team members taking on computational tasks
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 will be considered an advantage
- 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
- Proficiency in building and fine-tuning machine learning and deep learning models for biological data analysis
- 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. Please apply exclusively via the application portal. For any questions, please send an e-mail to priya.chudasama@nct-heidelberg.de.
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
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