Staff Scientist in bioinformatics for 3D electron microscopy

Wifo; Umeå kommun; On-site; SEK 450,000 - 650,000; Full time

Job summary

Wifo is looking for a Staff Scientist in bioinformatics at Umeå University, focusing on advanced 3D electron microscopy image analysis. The role includes leading projects and teaching at postgraduate level as part of the BioImage Informatics team.

Candidates must hold a PhD in a relevant field and have extensive experience in image analysis and data collection. The position is full-time, fixed-term for 12 months, and requires excellent English communication skills.

Qualifications

• PhD in a relevant field is required.
• Experience with advanced image analysis is necessary.
• Strong background in EM data collection is needed.
• 3+ years in digital image analysis methods is required.
• Very good English communication skills are crucial.

Responsibilities

• Provide expertise in planning and analysis of EM data.
• Lead individual research support projects.
• Teach methodology courses at postgraduate level.
• Plan work with the BioImage Informatics team.
• Stay updated with EM and image analysis software.

Skills

Advanced image analysis of EM data

Cooperation and communication in English

Creative and service-minded attitude

Education

PhD in cell and structural biology, bioimaging, biotechnology, data science

Tools

Deep learning models on HPC resources

Version control and workflow languages

Job description

Staff Scientist in bioinformatics for 3D electron microscopy

National Bioinformatics Infrastructure Sweden (NBIS) recruits a bioinformatics expert to the national support team for electron microscope image analysis and multimodal 3D data, at SciLifeLab Umeå as workplace.

Project description

Umeå University is recruiting a staff scientist to work with advanced 3D image analysis of electron microscopy data, tomography, cryo-EM, SEM generated image volumes and correlation of image data from multimodal microscopy data. As a Staff scientist, you will be part of a team of technical personnel, working together with national research infrastructure at Umeå Centre for Electron Microscopy (UCEM) as part of the SciLifeLab Bioinformatics Platform (National Bioinformatics Infrastructure Sweden: www.nbis.se), a national infrastructure with over 120 experts providing advanced bioinformatics support, infrastructure and training to the Swedish life science research community, and participating in international collaborations. Within NBIS, you will be part of the BioImage Informatics team. This employment is funded through NBIS under the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS).

Work tasks

As a staff scientist, you will provide researchers with expertise in the planning and analysis of electron microscopy (EM) and multimodal data, in the life science area, including biological, chemical, biochemical and medical research areas. You will lead individual research support projects and be involved in teaching methodology courses at postgraduate level on EM data analysis. The EM data analysis support is prioritised at a national level. You will perform support and service tasks individually and plan your work together with the NBIS BioImage Informatics team. Work assignments include team and user meetings locally and nationally, computational image analysis work, presentations, writing protocols and reports. You will stay up to date with EM and image analysis software developments, test and implement new developments, as well as communication and training together with other software developers, researchers and infrastructure users. You will help to develop, implement and maintain computational tools and workflows. You will also help coordinate ongoing facility projects and collaborations between partner microscopy facilities in Sweden and internationally. Your workplace will be at UCEM in Umeå. Our working language is English.

Qualifications

• PhD in cell and structural biology, bioimaging, biotechnology, data science or equivalent.
• Experience of applying and/or developing advanced image analysis of EM data and correlative microscopy imaging.
• Background knowledge about EM data collection (SEM, TEM and/or Cryo-EM) for life science research projects.
• Extensive (3+ years) experience of applying and/or developing advanced digital image analysis methods in bioimage analysis, including tomographic 3D reconstruction and use of multiple software for 3D image analysis, segmentation and visualisation.
• Very good skills in cooperation and communication in English.

In this position you must work independently and flexibly, take on new challenges, establish new methods, participate in several different projects in parallel, take initiatives, be creative and have a service-minded attitude towards collaborative facility work, to help infrastructure users and research groups with research projects and to achieve results.

Additional qualifications

• Relevant postdoctoral studies or equivalent industry experience.
• Experience of different types of microscopy, e.g. sample preparation and instrument operations.
• Expertise in reproducible code using code sharing platforms, version control, workflow languages and container solutions.
• Experience training deep learning-based models on HPC resources.
• Well-established international network in EM and earlier international collaborations around research infrastructure.

Application

Your application should contain a personal letter with motivation for why you are applying for the job, a CV, a copy of the relevant diploma and other relevant certificates/grades, as well as names and contact details of two reference persons. Applications must be submitted via our e-recruitment system no later than June 15, 2026.

Terms of employment

The employment is full time and a fixed-term employment of 12 months. Start day by agreement.

Umeå University wants to offer an equal environment where open dialogue between people with different backgrounds and perspectives lay the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment.