Image Analysis staff position in Cambridge


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Europe’s top cancer charity, Cancer Research UK, has combined with the University of Cambridge to fund the world class Cambridge Institute (CRUK CI) situated on the Cambridge Biomedical Campus.

The Institute’s research ranges from basic cancer biology through translational research to clinical application. The Institute currently houses over 400 researchers and contains state-of-the-art research facilities.

The Imaging & Microscopy core facility at the Institute provides imaging support to scientists as well as opportunities for new imaging developments and image analysis projects. Details can be found at: www.lightmicroscopy.cruk.cam.ac.uk/

We are now looking for a highly motivated, creative and self-driven scientist who is expert in advanced image data analysis and light microscopy techniques, ideally someone actively involved in the open source bio-image analysis community.

The successful candidate will have excellent knowledge of open source and commercial image data analysis tools and experience in light microscopy techniques including cell biology applications. The post holder will primarily provide support for developing image analysis methods and tools working closely with CRUK CI researchers. The post holder will be required to provide image analysis training and teaching in practical courses and workshops for students and staff at the CRUK CI and the wider Cambridge scientific community.

The successful candidate will be enthusiastic about innovative optical microscopy techniques, have experience in the use of image database and data analysis software for 4D-analysis as well as high-content imaging and be able to providing some expertise in operating microscopes (DIC, confocal, wide-field fluorescence, time-lapse). Interest in new advanced imaging methods e.g. light sheet, multiplexing and optical design is an advantage.

Holding a degree in mathematics, biological sciences or physics, engineering or image analysis or equivalent, the successful candidate will have extensive experience with programming languages such as Java, Python or Matlab. Experience developing automated workflows using a range of leading software such as ImageJ, Icy, Ilastik, KNIME, CellProfiler and Imaris is also required.

For more information and to apply:

http://www.jobs.cam.ac.uk/job/13265/

The closing date for applications is 23rd April 2017.