We are one of the largest and oldest universities in Europe and one of the most important employers in our region.Our broad range of subjects, the dynamic development of our main research areas and our central location in Cologne make us attractive for students and researchers from around the world. We offer a wide range of career opportunities in science, technology, and administration.
The Poetsch Group is looking for a Biomedical DataManager (f/m/x) to support the team in its research ongenomes and their changes with age, as well as on thedevelopment of cancer. The position focuses on the collaborative development of an infrastructure and workflow for data analysis and the application of machine learning to awide range of datasets on somatic mutagenesis.
YOUR TASKS» Designing and implementing standardized folder
hierarchies and naming conventions acrossHPC storage systems
» Development of metadata schemas to enable efficientdata collection, retrieval, and data lifecycle managementfor large quantities of data
» Collaborative implementation of standard operatingprocedures for the analysis of genomic data, includingthe application of machine learning and deep learning
» Development and implementation of guidelines forthe organization of personally sensitive data andbest practices for research teams
» Implementation of research projects in the field ofsomatic mutagenesis and collaboration with researchers
» Advising Researchers on best practices for dataorganization
» Developing documentation, templates, and standardoperating procedures
YOUR PROFILE» Bachelor‘s or Master‘s degree in bioinformatics,
bioengineering, genetics, or a related field» Strong experience with Linux/Unix command-line
» Familiarity with HPC storage architectures and
» Strong attention to detail and systematic approach
» An understanding of scientific research processes in
genetics, data types in genomics, and the correspondingly large volumes of data
» Excellent communication skills to work with diversetechnical and non-technical users
» Proficiency in Python and R for data analysis
» Experience with machine learning would be
advantageous
» Very good interpersonal and communication skills; inparticular, the ability to effectively work in a diverse,collaborative and interdisciplinary research environment
» Excellent written and spoken English skills are an
WE OFFER» Opportunity to receive training in cutting-edge methods
in bioinformatics, using also deep learning on genomicsdata
» A diverse working environment with equal opportunities
Support in balancing work and family life
Extensive advanced training opportunities
Occupational health management offers
Flexible working time models
The University of Cologne promotes equal opportunities anddiversity. Women will be considered preferentially in accordance with the Equal Opportunities Act of North Rhine-Westphalia (Landesgleichstellungsgesetz – LGG NRW). We also expressly welcome applications from all suitable candidatesregardless of their gender, nationality, ethnic and socialorigin, religion, disability, age, sexual orientation and identity.
The position is available at the earliest possible time ona full-time basis (39,83 hours per week). The position isto be filled for a fixed term for 24 months. If the applicantmeets the relevant wage requirements and personalqualifications, the salary is based on remuneration group11 TV-L of the pay scale for the German public sector.
Biomedical Data Manager (f/m/x)
Faculty of Mathematics and Natural Sciences
Institute for Genetics (IfG) and the Cologne Cluster of Excellence on Aging and Aging-associated Diseases (CECAD)
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Biomedical Data Manager (f/m/x) in Köln Arbeitgeber: Universität zu Köln
Die Universität zu Köln ist ein hervorragender Arbeitgeber, der eine dynamische Forschungsumgebung und vielfältige Karrierechancen in Wissenschaft und Technik bietet. Mit einem starken Fokus auf interdisziplinäre Ausbildung und einer integrativen Arbeitskultur fördert die Universität die persönliche und berufliche Entwicklung ihrer Mitarbeiter. Zudem profitieren PhD-Studierende von flexiblen Arbeitszeitmodellen und umfangreichen Fortbildungsmöglichkeiten, während sie in einem internationalen Team an spannenden Projekten im Bereich der statistischen Physik und quantitativen Biologie arbeiten.