Deutsches Krebsforschungszentrum
Heidelberg
Position: Data Scientist / Bioinformatician for Cancer Research in full- or part-time
Department: Digital Biomarkers for Oncology
Code number: 2023-0209
The German Cancer Research Center is the largest biomedical research institution in Germany. With more than 3,000 employees, we operate an extensive scientific program in the field of cancer research.
Our Junior Research Group "Digital Biomarkers for Oncology" is an interdisciplinary group of currently 18 data scientists, biologists and doctors focused on improving the digital patient journey by developing software that enhances cancer diagnostics and individual tumor behavior predictions in the precision medicine pipeline. We mainly employ machine learning and modern data analytics on human patient data. Within our group it is possible to develop an own scientific profile in digital oncology, become involved into meaningful translational research with relevance to cancer patients and to grow personally. You will be supported to be successful in your individual career goals and academic development.
Job description:
The specific project that you would be mainly working on is related to BAP1 specific cancers (i.e. uveal melanoma, cholangiocarcinoma, renal cell carcinoma) and seeks to develop specific therapies for the treatment of tumors with BAP1 loss in an interdisciplinary consortium where we are responsible for the bioinformatics / data science tasks mainly focusing on digital pathology (i.e. analyzing histologic slides via convolutional neural networks). Renal cell carcinoma, uveal melanoma, cholangiocarcinoma and malignant mesothelioma are cancer entities with frequent mutations in the tumor suppressor gene BAP1 and associated with tumor aggressiveness, metastasis and poor patient prognosis. Unfortunately, there are currently no specific therapies for the treatment of tumors with BAP1 loss. We have strong evidence that inactivating mutations in BAP1 are involved in new signaling pathways. Thus, we will evaluate targeting vulnerabilities of these signaling pathways in vitro using cell lines, in vivo using mouse models and ex vivo using patient-derived organoids as pre-clinical models.
Furthermore, we will evaluate whether BAP1 loss correlates with specific biomarkers by immunohistochemistry (IHC) in human tumor samples and develop predictive digital biomarkers via multimodal data integration. This would facilitate identifying patients who could potentially benefit from these novel therapies and provide evidence for the use of BAP1 as a biomarker of response in precision medicine. In this project, where we are responsible for the bioinformatics / data science, tasks mainly focusing on digital pathology (i.e. analyzing histologic slides via convolutional neural networks). You would work into an interdisciplinary consortium of renowned partners and help to detect signatures / develop digital biomarkers in whole slide images that support the stratification of patients.
Requirements:
We offer:
Important notice:
The DKFZ is subject to the regulations of the Infection Protection Act (IfSG). As a consequence, only persons who present proof of immunity against measles may work at the DKFZ.
Earliest Possible Start Date: as soon as possible
Duration: The position is initially limited to 2 years with the possibility of prolongation.
Application Deadline: 14.07.2023
Contact:
Dr. Titus Brinker
Phone 0151/75084347
Please note that we do not accept applications submitted via email.
The DKFZ is committed to increase the pro
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