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Postdoc on Computational Biology of Bladder Cancer Genomics

  • 48.08.18.TS
  • 36 hours per week
  • Urologie

Job description

The Erasmus MC Cancer Computational Biology Center (CCBC) is a bioinformatics and computational biology research group and facility. CCBC aims to innovate, facilitate and stimulate omics-based cancer research and generate and implement new scientific breakthroughs within the Erasmus Medical Center Cancer Institute. The Post Doc will conduct state-of-the art statistical analysis, including Machine learning, and will develop new methods and tools using in-house generated big omics data sets, world-renowned data sets from Center for Personalized Cancer Treatment (CPCT), as well as, publicly available data sets. She/He will collaborate in a multi-disciplinary team consisting of clinicians, molecular biologists and computational biologist and should contribute significantly to the field of bladder cancer using his/her bioinformatics and computational biology expertise. We aim to publish the results in high impact peer-reviewed journals in the field of oncology and computational biology. Moreover, we expect the Post-doc will be able to setup a research line in which she/he will be able to obtain extramural funding

Work environment

Erasmus MC stands for a healthy population and excellence in healthcare. By conducting groundbreaking work, we aim to push boundaries through leading the way in research, education and healthcare. We have access to the latest equipment and techniques in a state-of-the-art environment.

The Erasmus MC CCBC facility and research group collaborates on cancer research with several departments in- and outside Erasmus MC. In the TRANSCAN-2 ERA-NET and CPCT Urothelial Cancer project, the computational biologist will work in the Erasmus MC Cancer Institute and will be supervised and work together with Dr. Harmen van de Werken in close collaboration with Dr. Joost Boormans and Dr. Martijn Lolkema. In these projects the Post-Doc will work on comprehensive genomic analysis of patient cohorts consisting of upper tract urothelial carcinoma and metastatic urothelial carcinoma with the objective to identify drivers of metastatic disease, novel drug targets, biomarkers of response to local and systemic treatment, and a molecular stratification of patients with high or low risk to develop recurrent disease. In addition, She/he will work on cancer evolution, integration of Whole Genome Sequencing data with RNA-seq data and on predictive models for immunotherapy. In this dynamic work environment the computational biologist will be member of a team of bioinformaticians and computational biologist from the CCBC and with clinicians at the departments of Urology and Medical Oncology. The Post-Doc will have the opportunity to follow high-level Post-doc courses in Erasmus MC career guidance program.

Qualifications and skills

The candidate should have a PhD degree in Informatics, Bioinformatics, Computational Biology or related field and has experience in (Bio)informatics, Statistics or Computer Science. The candidate should have demonstrated excellent scientific writing and software engineering skills in Perl or Python and preferably in Java and should have proven experience in high level statistical analyses and be proficient in the computer language R. Experience in analyzing next-generation sequencing data is a prerequisite. Furthermore, the candidate should have strong analytical and problem solving skills, have excellent communication and writing skills and is able to work independently. A background in Cancer Biology is a strong plus.

Terms of employment

We offer a temporary position of 2 years with an option to extend. The gross monthly salary amounts a maximum of € 4.361,- (scale 10), depending on your level of education and relevant experience and based on a full-time working week of 36 hours. The terms of employment are in accordance with the Collective Bargaining Agreement for University Medical Centers (CAO UMC).

Information and application

For more information about this position, please contact Dr. Martijn Lolkema , Medical Oncologist at the Department of Medical Oncology, phone number: +31 (0)10 704 00 16;  Dr. Joost Boormans, Oncological Urologist at the Department of Urology, phone number: +31(0)10 704 07 02 or  Dr. Harmen van de Werken, Managing Director Erasmus MC Cancer Computational Biology Center (CCBC)/ Assistant Professor at Department Urology, phone number +31(0)10 704 44 67. 

If you are excited by the thought of this position and would like to apply, please do so by using the application form on our website.
 

No agencies please.