Computational Cancer Researcher: Identify Targets and Biomarkers
vor 2 Wochen
At Boehringer Ingelheim RCV GmbH & Co KG, we are seeking a highly motivated and skilled researcher to join our team in Vienna. As a Computational Cancer Researcher, you will play a crucial role in identifying cancer targets and biomarkers using innovative data integration strategies.
The position has developed into a key aspect in drug discovery, and your work will be part of a larger project within the Cancer Cell Signaling Department. You will have the opportunity to apply cutting-edge computational methods to analyze large datasets and identify potential cancer targets and biomarkers.
Your responsibilities will include mining and annotating large cancer patient and cell line datasets, establishing and utilizing computational methods to identify cancer drug targets, biomarkers, and combinations thereof. You will also be responsible for documenting results, analysis scripts, and pipelines using Atlassian tools such as Bitbucket, presenting results within the department, and contributing to the development of new research projects.
To succeed in this role, you should have a BSc Degree in Bioinformatics, Computational Biology, or a related field with first-hand experience in Bioinformatics. Proficiency in programming languages such as R and Python is essential, as well as experience with command line programming and the Atlassian stack/Bitbucket or GitHub.
We offer a comprehensive benefits package, including flexible working time models/home office depending on the position, additional off-days (bridge-days) for more leisure time, staff restaurant with a variety of lunch options for daily well-being, position-specific training opportunities for personal and professional growth, and comprehensive health promotion to sustain your health in the best possible way.
As a valued member of our team, you can expect a competitive salary, estimated at approximately €38,160 per annum, commensurate with your technical skills, personal competencies, and professional experience. We are an equal opportunities employer and welcome applications from diverse candidates. If you are passionate about cancer research and want to contribute to groundbreaking discoveries, we encourage you to apply for this exciting opportunity.
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