Image Analysis Specialist to The Novo Nordisk Foundation Centers for Stem Cell Biology (DanStem)
The Novo Nordisk Foundation Centers for Protein Research (CPR) and Stem Cell Biology (DanStem) at the University of Copenhagen are looking to recruit an
Image Analysis Specialist
CPR and DanStem 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. Advanced light microscopy is a key technology at both centers and their in-house imaging platforms provide service and support for a large number of scientists.
We are now seeking an enthusiastic Image Analysis Specialist for our joined team at the earliest opportunity.
You will be the first line contact for all platform users on all image analysis-related questions. Your everyday work includes both routine tasks and advanced support tasks:
Routine service and support:
- Discuss user projects in collaboration with the microscopy specialist to optimize the data acquisition for subsequent analysis
- Offer regular introductions to broadly used analysis programs (Image J, CellProfiler, Imaris, Olympus-ScanR Analysis, Perkin Elmer-Harmony, Huygens) for beginners and advanced users
- Manage computer workstations for offline image analysis and take care of software purchases, installation, maintenance and updates (local IT-support is provided)
- Provide individual hands-on support and training on image analysis software tools and guidance in identifying optimal software and image analysis solutions
- Develop custom tools and workflows for complex tasks in image analysis
- Provide support for visualization and statistical evaluation of image data
You have a Master or PhD degree in biological or biomedical sciences with at least three years of experience in bio-image analysis. Alternatively, your background is in biophysical sciences or computational image analysis, coupled with a strong interest in cellular imaging and experience in working with biologists. Ideally, you have already worked in a user support-facility environment.
You also have:
- A broad overview of image analysis tools and are familiar with a variety of image analysis software packages
- Profound expertise in classical image analysis utilizing cellular and sub-cellular object segmentation for feature extraction and downstream image data quantification
- Profound knowledge of handling, processing and analysing bioimage data from various sources: 2D-images from wide-field microscopy, 3D-images from confocal microscopy, images from super-resolution microscopes (STED and SIM), 3D images from 2-photon microscopes on deep tissues and organoids, large image data sets from light sheet microscopy, 3D and 4D image series from live cell imaging recordings, large image data sets from high-throughput screening microscopy
- Experience with handling large data sets and conversion of file types between image analysis programs
- Ideally, programming skills for the development of custom image analysis tools (such as ImageJ-Fiji Macro language, MatLab, Python, R)
- Basic skills in applying machine-learning and deep learning- based image analysis tools, which are increasingly provided in commercial software packages, and an interest to develop own skills along that line
- A good understanding of advanced light microscopy
- An interest to actively network with the image analysis community (locally and internationally) and to stay in touch with current trends in the field
- Excellent communication skills and fluency in English
- A personality that is helpful, service-minded and goal-oriented
- Ability to work in a multidisciplinary and international environment
What we offer:
- You will be part of the CPR and DanStem research centers and work together in a team with microscopy specialists at their imaging platforms
- You are encouraged to engage in a wider network of image analysis specialists at the Faculty for Health and Medical Sciences and the Danish BioImaging Network
- You will experience and facilitate exciting and diverse biomedical research by working with many scientists at two excellent research centers and be part of a vibrant, collaborative and supportive workplace
- Funding for participating in relevant conferences and courses to further develop your qualifications in image analysis
- Permanent employment contract with the University of Copenhagen
- Flexible work arrangements
- Annual salary reviews
- 30 days annual leave plus 8 public holidays
- Relocation support
- We are located in central Copenhagen, a city with one of the highest qualities of life in the world and a vibrant and highly interactive research environment. The University of Copenhagen has a strong focus on balancing professional life with a family-friendly working environment (https://www.ism.ku.dk/faq).
To apply, please submit your application, in English, via https://employment.ku.dk/administrative/ by clicking “Apply online”. Applications must include:
- A statement of motivation
- Curriculum vitae
- Copies of relevant diplomas.
- In your CV, please include a section with 3-5 examples of image analysis tasks that illustrate your abilities in the field.
Only applications in English and submitted online and will be accepted.
The closing date for applications is 31 May 2021.
Learn more about CPR and DanStem at www.cpr.ku.dk and https://danstem.ku.dk/.
The position, with formal employment title of Special Consultant (within the Technical and Administrative Personnel staff) 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 Claudia Lukas (Head of Protein Imaging Facility, CPR, firstname.lastname@example.org) and Malte Paulsen (Head of Research Platforms at DanStem, email@example.com).
Founded in 1479, the University of Copenhagen is the oldest university in Denmark. It is among the largest universities in Scandinavia and is one of the highest ranking in Europe. The University´s eight faculties include Health Sciences, Humanities, Law, Life Sciences, Pharmaceutical Sciences, Science, Social Sciences and Theology. www.ku.dk
Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career