25 May 2018

We are seeking an Image Analysis Specialist

job opportunity

The Novo Nordisk Foundation Centers for Stem Cell Biology (DanStem) and Protein Research (CPR) at the University of Copenhagen are jointly seeking applications for the position of Image Analysis Specialist

Both DanStem and CPR are vibrant, internationally diverse, ambitious research centers, housing modern laboratories with state-of-the-art facilities located in close proximity to one another at the Faculty of Health and Medical Sciences, University of Copenhagen. The setting is ideally suited for seamless exchange of expertise, material and lively scientific communication.

Advanced light microscopy is a key technology for a wide variety of research areas at DanStem and CPR. The Centers host approximately 15 research groups with 30-40 scientists regularly using applications in cellular imaging of a variety of model systems including primary and transformed cell lines, 3D cell cultures, tissues, and organisms.  For these purposes, the Centers house approximately ten state-of-the-art research microscopes, including several confocal, high-content screening, and wide-field microscopes for various applications including cell-based screening, time-lapse imaging, laser-microirradiation, cell ablation, or optogenetics applications generating a demand for microscopy and bio-image analysis support. Therefore, the Centers offer research platforms in imaging and image analysis to support the continually evolving need for microscopy-based applications and to enhance synergy and scientific productivity.

We are now seeking a highly motivated and qualified quantitative image analysis specialist to work within the Imaging Research Platform at DanStem and the Protein Imaging Facilitywithin CPR, alongside the light microscopy specialist at both platforms.


The image analysis specialist works in a team with a dedicated microscopy specialist to provide service and support for multiple research projects of broad biomedical scope throughout the two research centers.  The image analysis specialist at CPR and DanStem is expected to

  • Provide support and training on a variety of image analysis software packages (e.g. ScanR analysis, Metamorph, Volocity, Imaris, Image J, CellProfiler, CellCognition)
  • Guide users to identify correct software and image analysis solutions
  • Help users with analysis and graphic presentation of multidimensional data
  • Write custom scripts, macros and code to expand existing
  • Develop custom tools that solve specific image processing problems
  • Organize and participate actively in image analysis workshops (including practical demonstrations) for graduate and undergraduate students
  • Manage software purchases, installation, maintenance and updates
  • Cooperate with platform personnel and contribute to platform management
  • Network actively with the global image analysis community and stay up-to-date with current trends in the field

DanStem and CPR provide state-of-the-art computational infrastructure for image and data analysis, including multiple powerful computer workstations housed in well-spaced offices, a range of commercial software packages for image and data analysis and access to cluster computing at the Danish National Supercomputer (Computerome). Our centers enjoy excellent IT support and work closely together with the Big Data Platform at CPR for image data management.

Qualifications and competences

Candidates are expected to have a Master’s or PhD degree in a biological sciences-related discipline with at least three years of experience in bio-image analysis.  Alternatively, candidates with relevant expertise, such as in computer science and data analysis or physics, coupled with a strong interest in cellular imaging and experience in working with biologists can be considered.  In addition, we wish for the candidate to have:

  • A broad overview of image analysis tools and expertise with a variety of image analysis software packages, including Imaris
  • Experience with 3D and 4D image analysis and segmentation of structures
  • Expertise in quantitative image processing, its application in biology and developing image analysis solutions with Matlab, Fiji/ImageJ, Python, Java, R or similar programming languages
  • Experience in advanced image analysis of large data sets using machine learning approaches
  • A creative mind as well as an active network to tackle challenging tasks in image analysis
  • An understanding of principles of microscopy and an interest to work with the platforms’ microscopy specialist to implement custom software tools for automation
  • Good knowledge of statistics for biologists
  • Excellent communication skills and fluency in English
  • Successful experience in project management, including multi-tasking
  • A service-minded and team player attitude
  • Ability to work in a multidisciplinary and international environment

Employment conditions

The position, with formal employment title of special consultant at the University of Copenhagen, will be in accordance with the provisions of the collective agreement between the Danish Government and AC (the Danish Confederation of Professional Associations). To the salary is added a monthly contribution to a pension fund according to the collective agreement, and a supplement could be negotiated, depending on the candidate’s experiences and qualification. In all cases, the ability to perform the job will be the primary consideration, and thus we encourage all, regardless of their personal background and status, to apply. 

Informal inquiries can be directed to Chief Operating Officer Gretchen Repasky (DanStem, gretchen.repasky@sund.ku.dk) and Professor Claudia Lukas (CPR, claudia.lukas@cpr.ku.dk).     

To apply

To apply, please submit your application, in English, via https://employment.ku.dk/staff/ by clicking “Apply now”.  The application must include:

  • a statement of motivation
  • curriculum vitae
  • copies of relevant diplomas.

The closing date for applications is July 16, 2018 at 23.59 pm.

Applications not fulfilling the above may not be accepted. 
The Centers highly value diversity and encourage applications from people of all backgrounds.