Image Analysis Application Specialist

The Danish BioImaging Infrastructure (DBI-INFRA) is a multi-sited national research infrastructure that includes ten bioimaging facilities giving open access to a broad portfolio of bioimaging technologies; from clinical to single molecule imaging. The DBI-INFRA is the Danish node for the ERIC Euro-BioImaging. Funded by the Ministry for Higher Education and Research, DBI-INFRA implements and develops new open access bioimaging technology services to support life scientists across Denmark and Europe.

The DBI-INFRA Image Analysis Core Facility is part of the DBI-INFRA, and its main goal is to implement open access Image analysis services to support data extraction of the images generated in the DBI-INFRA bioimaging facilities. We are looking for a highly motivated and independent Bioimage Analyst. The successful candidate will join the team with effect from 1 November 2025 or as soon as possible thereafter.

The main workplace will be the Image Analysis Core Facility (IACF) at the DBI-INFRA Hub in the Faculty of Health Sciences (Copenhagen University). This unique national core facility gathers a team of experts dedicated to service in bioimage analysis. The team works supporting Life Science research groups and bioimaging facilities, analyzing a broad range of scientific datasets by leveraging the local computing infrastructure, creating new image analysis workflows and computing solutions by teaming up with computer scientists at DIKU and DTU, and promoting collaboration and FAIR share of image datasets within the Danish Bioimaging community.

DBI-INFRA is looking for a new colleague with a strong bioimage analysis background, problem-solving mindset, drive to learn and collaborate in multidisciplinary environments, and ideally with experience in service provision.

This position is limited until 31.3.2027, with the possibility of extension.

The candidate profile

Required

• Experience with common bioimage analysis software (such as ImageJ, QuPath and Napari) or with image processing and data science libraries (such as scikit-image, Pytorch, Dask …)
• Proficiency in image processing theory
• Service-oriented mindset, with a strong interest in training, user support and scientific outreach
• Strong programming experience in at least one high level programming language (e.g. Python)
• Strong problem-solving mindset and ability to collaborate in interdisciplinary environments
• Good organizational and communication skills

Advantage

• Experience in providing image analysis as a service, especially in a facility setting
• Experience in teaching and disseminating knowledge
• Experience in deploying, maintaining and updating IT infrastructure
• Experience in training deep learning models for image analysis, and working in high performance computing (HPC) environments
• Participation in collaborative open-source software projects
• Experience in research/facility leadership and management

Main tasks for the position

• Deploying bioimage analysis workflows to support ongoing Life Science research
• Providing consultation and training to promote bioimage analysis knowledge and practices
• Organizing workshops, training and outreach activities across Denmark
• Staying up-to-date with developments in and contributing to the bioimage analysis community
• Taking part in regular facility maintenance tasks, such as updating IT infrastructure and managing the service booking platform

Salary and employment terms
Salary, pension and other conditions of employment are set in accordance with the Agreement between the Ministry of Taxation and AC (Danish Confederation of Professional Associations) at the level of Special Consultant.

Depending on qualifications, a supplement may be negotiated. The employer will pay an additional 18.07 % to your pension fund.

For additional information about the position, please contact Clara Prats, e-mail: [email protected].

Application procedure
Your online application must be submitted in English by clicking ‘Apply now’ below, via KU Jobportal.
Application deadline: 14 September 2025.

The University of Copenhagen wish to reflect the diversity of society and encourage all qualified candidates to apply regardsless of personal background.

Københavns Universitet giver sine knap 10.000 medarbejdere muligheder for at udnytte deres talent fuldt ud i et ambitiøst, uformelt miljø. Vi sikrer traditionsrige og moderne rammer om uddannelser og fri forskning på højt internationalt niveau. Vi søger svar og løsninger på fælles problemer og gør ny viden tilgængelig og nyttig for andre.

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