Bioimage Analyst and Python programmer at Danish BioImaging Infrastructure Image Analysis Core Facility (DBI-INFRA IACF)

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 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 will implement and develop new open access bioimaging technologies to support life scientists across Denmark and Europe.

The DBI-INFRA Image Analysis Core Facility implements open access Image analysis services to be accessible from any of 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 15 July 2025 or as soon as possible thereafter. The position is time-limited until 31 March 2027.

The main workplace will be the newly created 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 candidates with strong problem-solving mindset, and drive to learn and collaborate in multidisciplinary environments. In addition, we are looking for a bioimage analyst, ideally with some experience in image analysis service provision.

Required skills:

• Advanced programming experience in Python
• Knowledge of basic image processing and experience with common image processing and data science libraries (scikit-image, Pytorch, Dask …)
• Strong problem-solving mindset and ability to collaborate in interdisciplinary environments
• Good organizational and communication skills

Will be considered an advantage:

• Experience in working in high performance computing (HPC) environments
• Experience in developing graphical user interfaces
• Experience in bioimage analysis
• Participation to open-source projects and interdisciplinary environments

Primary activities:

• Making bioimage analysis workflows readily available to Life Scientists
• Developing an integrated remote computing platform for bioimage analysis
• Organizing user training, workshops, and training schools
• Lifting proof-of-concept research code to production ready quality analysis workflows
• Staying up to date and contributing to the bioimage analysis community

The position is full time and is from 15 July 2025 up to and including 31 March 2027. The successful candidates will become a key player for the implementation and operation of a world-wide unique national Image analysis Core Facility and will get:

• A job with great independence and variety in the tasks
• A development-oriented and good social environment
• A committed team of interdisciplinary colleagues who place a high value on professional collaboration, and who have an unpretentious, open, and respectful tone
• Good professional and personal development opportunities such as courses and education
• An equal opportunity environment committed to diversity and inclusion in the workplace
• The world’s best quality of life (lonelyplanet.com)

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
academic research staff, seniority-based salary.

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: cprats@sund.ku.dk.

Application procedure
Your online application must be submitted in English by clicking ‘Apply now’ below.
Application deadline: 22 April 2025.

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