About the ELMI

ELMI was created in 2001 to establish a unique communication network between European scientists working in the field of light microscopy and the manufacturers of their equipment.

Bio-Image Analyst, Scionics, Dresden, Germany

Company Description

Scionics Computer Innovation GmbH provides consulting, services, and support to academic institutions and scientific research organizations. Scionics integrates 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 System Biology (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. Scionics works closely with all of these institutions and this provides Scionics staff access to new technology, exciting projects and research. Scionics works together with a highly international community of scientists who are world leaders in their respective fields. Driven by the frequent requests coming from the institutions on the Biopolis Dresden research campus,
Scionics wants to strengthen its expertise in Bio-Image informatics.

Job Description

We seek to recruit a highly motivated individual to work in a team dedicated to biological image analysis. This team provides image analysis services to the Dresden scientific community. The close vicinity of research groups working at the interface of biology and physics as well as optical technology development and image processing provides an exciting and unique environment to work on multidisciplinary projects. The Bio-Image Analyst will support the needs of wet lab biologists by meeting with them to discuss their projects and proposing and implementing solutions for the image analysis component of their research. The Analyst will rely on existing software packages to demonstrate and implement quantitative, scientifically rigorous and repeatable image analysis pipelines while also considering factors such as usability and the integration of the solution into existing infrastructure. The team
deals with a diverse and exciting range of projects and a successful candidate will enjoy innovating and being creative in using existing tools, and testing and implementing new tools, to efficiently solve scientific problems. In addition, the successful candidate will contribute to the teaching of image analysis strategies and techniques, will keep up-to-date with new trends, and will work to
continue our strong relationships with imaging facilities on campus.

For additional information please check the job offer.