Staff Scientist position in bioinformatics for 3D electron microscopy

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 (https://www.scilifelab.se/units/bioimage-informatics/). 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 both locally and nationally, computational image analysis work, presentations, writing protocols and reports. You enjoy being 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
We are looking for a person with a PhD in cell and structural biology, bioimaging, biotechnology, data science or equal. You have experience of applying and/or developing advanced image analysis of EM data and correlative microscopy imaging. Experience or background knowledge about EM data collection (SEM, TEM and/or Cryo-EM) for life science research projects are important to understand the computational methods. Extensive (3+ years) experience of applying and/or developing advanced digital image analysis methods in the field of bioimage analysis is a requirement, as well as documented experience in tomographic 3D reconstruction and in using multiple software for 3D image analysis, segmentation and visualisation. The selected candidate must have very good skills in cooperation and communication in English. 

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

Additional qualifications
Relevant postdoctoral studies or equivalent industry experience are a strong merit but not a requirement. Experience of different types of microscopy, for example sample preparation and instrument operations, is a merit. “Reproducible research” and “FAIR data” are central concepts to us, and expertise in the development of reproducible code by using code sharing platforms, version control, workflow languages and container solutions is a merit. Experience in training deep learning-based models on HPC-resources is also meriting. A well-established international network in EM, and earlier international collaborations around research infrastructure, is highly valued.

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 August 16, 2026. 

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

Information
For more information, please contact Linda Sandblad, linda.sandblad@umu.se