Scientific Data Engineer / Architect (m/f/d) in Dresden
Scientific Data Engineer / Architect (m/f/d) in Dresden
About us
Scionics Computer Innovation GmbH provides consulting, services, and support to academic institutions and scientific research organizations. We integrate information technology and data and image analysis techniques with biology and the life sciences.
Scionics is located in Dresden, Germany, and is part of the dynamic Biopolis Dresden research campus that includes the Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG) and its Center for Systems Biology Dresden (CSBD), the Center for Molecular and Cellular Bioengineering (CMCB) of the TU Dresden, and the Center for Theoretical Medicine (MTZ) which is part of the university hospital.
We work closely with all of these institutions and this provides our staff access to new technology and exciting projects and research in close contact with a highly international community of scientists who are world leaders in their respective fields.Scionics wishes to strengthen its expertise within its team providing onsite scientific computing services in the area of Research Data Management and Scientific Data Engineering.
Job Description
We seek to recruit a highly motivated individual to work as part of a scientific computing team at a client site that provides services in research data management, pipeline and workflow development, bioinformatics, bioimage analysis, and software development to the Dresden scientific community.This team is closely linked to academic research institutes, especially the MPI-CBG and associated CSBD, and with research groups working at the interface of biology, physics, and math. This provides an exciting and unique environment to work on multidisciplinary projects and access to a wide range of interesting data.
We seek to strengthen the team in the area of Research Data Management and Scientific Data Engineering and with the recruitment of a new Scientific Data Engineer / Architect.
Advances in sequencing, microscopy, and automation have created an environment in which vast amounts of data can be rapidly produced. Making this data available for analysis outside of the group in which it is produced for data-driven modelling and mathematical approaches requires that it is properly organized, structured, linked and associated with the appropriate metadata.The goal is to structure data appropriately to make it findable, accessible, interoperable, and reusable (FAIR).
The Scientific Data Engineer, working along with a team and directly with scientists, will help define, adapt and implement data management platforms and management infrastructure (image repositories, metadata schemes, big-data workflow engines, data provenance infrastructure, etc.) as well as help research groups use these tools.In cooperation with research software engineers the Scientific Data Engineer will help design and develop data pipelines and distributed computing workflows that enable access to large datasets for analysis and machine learning approaches.
A successful candidate will enjoy innovating and being creative in data design as well as in using existing tools and applications and testing and impl...
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Schlagworte: Physik, Informatik, Forschung, Research, Development, Physics, Informatics, Master, GDPR, DSGVO, Mathematik, Mathematics, Computer Science, data management, data engineering, Bioinformatics, Python, it-architect, DevOps, Developer, IT Consulting, Research Data Management, Data Engineer, Data Steward, biological research, performance computing.
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