Associate Researcher

Organization Description

The University of Gothenburg tackles society's challenges with diverse knowledge students and 6 000 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract scientists and students from around the world. With new knowledge and new perspectives, the University contributes to a better future.

The University of Gothenburg promotes equal opportunities, equality and diversity.

SciLifeLab is a Swedish national center for molecular biosciences focusing on health and environmental research. Established in 2010 and designated a national center in 2013, SciLifeLab combines advanced technical expertise with cutting-edge knowledge in translational medicine and molecular bioscience. The SciLifeLab site in Gothenburg includes units at the University of Gothenburg and Chalmers University of Technology, with a strong connection to Sahlgrenska University Hospital. The facility offers diverse services, including Bioinformatics, Clinical Genomics, Chemical Biology, Proteomics, and more.

Role Description

This is
a permanent employment and a full time position. A probationary period may be applied.

We are seeking a highly motivated Associate Researcher (Data Scientist) with a strong background in computational image analysis, particularly in multimodal imaging. Experience in machine learning is highly valued. You will support user-driven research projects and develop integrated data workflows spanning light microscopy (confocal, super-resolution, lightsheet), volume electron microscopy, and chemical imaging (nanoSIMS, MALDI-IMS).

The position is based at IMT-GU

, hosted by 
Core Facilities, University of Gothenburg
. As part of the 
SciLifeLab Integrated Data Services (IDS) initiative

, you will help build computational support for multimodal imaging and connect imaging technologies with data-driven life science.

Qualification requirements:

• A university degree in computer science, physics, engineering, bioinformatics, or a related field (PhD degree is meritorious but not mandatory).
• Demonstrated expertise in image analysis, data science, or related computational research, with a strong track record in developing, applying, and supporting analytical methods.
• Experience with machine (deep) learning frameworks (e.g. PyTorch, TensorFlow).
• Excellent written and verbal English communication skills, required for daily interaction with an international user base.

Preferred qualifications:

• Proven experience applying machine (deep) learning to imaging data.
• Strong programming skills, preferably in Python, and use of version control (Git/GitHub).
• Knowledge of open-source image analysis software (e.g. Fiji, Napari, scikit-image).
• Familiarity with high-performance computing or cloud environments.
• Experience with multimodal or correlative imaging data (light/electron microscopy & chemical imaging).
• Experience in teaching computational methods.
• Knowledge of data conversion and handling standard formats (OME-TIFF, OME-Zarr).
• Knowledge of workflow management systems for analysis pipelines.
• Familiarity with data stewardship and FAIR principles.

Personal abilities:

We are looking for a service-minded team player with a strong interest in enabling cutting-edge research through advanced image analysis. The candidate should be eager to expand their knowledge in new computational and imaging methods and thrive in a highly interdisciplinary environment. In a core facility, it is essential to manage multiple user projects and organize work within short timelines. The ideal candidate is enthusiastic and solution-oriented, combining technical expertise with strong communication skills and a genuine commitment to supporting other researchers.

Read more and apply here: Göteborgs universitet | Associate Researcher (Data Scientist)