We are looking for computational biologists at post-doctoral level who want to pursue ambitious research in cancer and developmental genomics. This position offers a unique opportunity to participate in a multidisciplinary competence center for pediatric oncology and have a direct impact on the development of new cancer therapies.
Our group (science.ccri.at/research/research-areas/integrative-analysis) at St. Anna Children’s Cancer Research Institute (CCRI) strives to understand cellular development in cancer. Our projects center around two core themes:
* Integrative analysis of tumor development using multi-omics technologies (transcriptomics, epigenomics, proteomics). We extend our previous work on histiocytoses, and aim to dissect intra-tumor plasticity in other solid tumors (neuroblastoma, sarcoma, lymphoma) and in vitro.
* Using computational modelling to connect complex biomolecular data to interpretable biological mechanisms. To this end, we apply machine learning to large data collections and we implement interfaces that ease access to these methods for experimental scientists.
Relevant publications: Halbritter et al. Cancer Discovery 2019; Mass, …, Halbritter, et al. Science 2016; Barakat, Halbritter, et al. Cell Stem Cell 2018, Farlik, Halbritter, et al. Cell Stem Cell 2016
As a postdoc, you will
* Join a recently established, small, and highly cooperative team, dedicated to support your personal and professional development.
* Take charge of projects within one or both themes described above. You bring in your own ideas and expertise to make the projects your own. In parallel, you will have scope and are encouraged to develop your own ideas.
* Analyze multi-omics data, including single-cell RNA-seq and ATAC-seq, ChIP-seq, RRBS/WGBS, and quantitative proteomics from pediatric tumors ex vivo and in vitro.
* Interpret, present, and discuss your results with biologists and clinical researchers locally and internationally.
* Independently monitor the literature and community resources to keep abreast latest developments and to identify information, data, and methods to integrate in your own work.
* Write papers, visit conferences, review papers, apply for fellowships, and contribute to grants.
* Contribute to the supervision of junior group members.
* A challenging position in a meaningful, inspiring and international setting
* An outstanding working atmosphere in a strong team with excellent research and development opportunities
* Flexible working hours, discounted lunch in our canteen and other great benefits
* Excellent location in the center of Vienna a capital of biomedical research in Europe with excellent public transport connections
* A fair and attractive salary package according to the Austrian Science Fund FWF (www.fwf.ac.at/en/research-funding/personnel-costs/)
* PhD in a relevant subject (bioinformatics, genomics, molecular biology, cancer, etc.)
* At least one first-author publication in a reputable journal
* Good programming skills (R or Python); good understanding of statistics; comfortable in a remote Unix environment
* Extensive experience with multi-omics data analysis (e.g., RNA-seq, ATAC-seq)
* Good knowledge of molecular biology / genomics. Prior experience in cancer and/or developmental biology is a plus
* Desirable: Experience with single-cell technologies and/or machine learning frameworks
* Excellent verbal and written communication skills in English (German not required)
* An exceptional level of enthusiasm, determination, and creativity
Please send your application via email to Dr. Florian Halbritter, firstname.lastname@example.org. Applications should contain your Curriculum Vitae, list of publications (please mark / explain your three top contributions), and the contact details of three references.