Uppsala University, Department of Immunology, Genetics and Pathology
The Department of Immunology, Genetics and Pathology at Uppsala University has a broad research profile with strong research groups focusing on cancer, genetic and autoimmune diseases. A fundamental idea at the department is to stimulate translational research and thereby promote closer interactions between medical research and health care. Research is presently organized in six research programs: Cancer Precision Medicine, Cancer Immunotherapy, Genomics and Neurobiology, Molecular Tools and Functional Genomics, Neuro-Oncology and Neurodegeneration and Vascular Biology. Departmental activities are also integrated with the units for Oncology, Clinical Genetics, Clinical Immunology, Clinical Pathology, and Hospital Physics at Uppsala University Hospital. The department has teaching assignments in several education programs, including Master Programs, at the Faculty of Medicine. The department has a yearly turnover of around SEK 550 million, out of which about two thirds derive from external funding. IGP has approximately 400 employees, out of which 100 are PhD-students, and there are in total more than 850 affiliated staff members.
The Vickovic Lab at Uppsala University is seeking a dynamic, self-motivated, team-oriented Postdoctoral researcher to expand computational efforts in understanding disease mechanisms through integration of fluorescence imaging and sequencing data to build multi-modal graph environments. We are interested in developing integrative multi-modal data analysis tools incorporating single cell and spatially resolved omics data, imaging data, clinical phenotypes, variants and genotypes. The successful candidate will have the unique opportunity to work at the intersection of mathematical modeling, computer vision, omics data analysis, workflow optimization, and resource building. The postdoctoral researcher can also propose and pursue their own ideas that fit the general research program of the lab.
Duties – Develop new computational, deep learning methods for integrating and analyzing large-scale, spatially resolved RNA-seq, imaging and genotypic data using current state of the art technologies. – Work closely with experimental colleagues and cores to understand the nature of generated data. – Coordinate efforts across multiple organizations. – Actively participate in the preparation of manuscripts for publication and present at scientific conferences. – Assist in peer- and student-mentorship. – Share expertise and provide training and guidance to group members as needed.
Kvalifikationskrav – PhD degree in in computer science, computer vision, bioengineering, computational neuroscience, applied mathematics or a foreign equivalent degree. The degree needs to be obtained by the time of the decision of employment. Those who have obtained a PhD degree three years prior to the application deadline are primarily considered for employment. The starting point of the three-year frame period is the application deadline. Due to special circumstances, the degree may have been obtained earlier. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc. – A minimum of two first author papers published in journals with IF > 10. – In-depth conceptual or technical understanding of modern high-throughput molecular technologies in the life sciences (RNA-seq, spatial transcriptomics, immunohistochemistry, CRISPR/Cas, short and long read sequencing) required. – Strong oral and written communication, data documentation, and presentation skills required – Experience writing scientific articles for publication required. – Ability to handle multiple projects at the same time required. – Excellent collaborative and interpersonal skills, and willingness to work in a fast-paced team environment required.
Additional qualifications – Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations and delivers on commitments. – Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so. – Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity.
About the employment The employment is a temporary position of two years according to central collective agreement, with the possibility of a one-year extension Full time position. Starting date as agreed. Placement: Uppsala.
For further information about the position, please contact: Sanja Vickovic, sanja.vickovic@igp.uu.se
Please submit your application by 20 April 2026, UFV-PA 2026/864
Tagged as: Life Sciences
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