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. More information about the department’s activities can be found here: www.uu.se/en/staff/department/immunology-genetics-and-pathology
SciLifeLab (www.scilifelab.se), established in 2010, is a hub for life science research in Sweden and a collaboration between Swedish universities. SciLifeLab forms an internationally unique infrastructure and research community, bringing together groundbreaking life science technologies with data and AI expertise. Computational methods and artificial intelligence applied to large-scale molecular data are transforming the study of biological systems at all levels, from molecular structures and cellular processes to human health and global ecosystems.
The successful candidate will be working at the SciLifeLab Data Centre, a central unit within SciLifeLab with responsibility for IT- and data management issues, serving the SciLifeLab’s infrastructure platforms and other SciLifeLab-organised programs and activities, including the national research program for data-driven life sciences (DDLS). We have a national assignment and operate a range of services for life science data and e-infrastructure. We also work with issues about FAIR data and open science, and in close collaboration with major national and international partners.
Duties
SciLifeLab is now recruiting Data Engineers to integrate AI within SciLifeLab’s ecosystem of data and IT services for data-driven research. The role involves developing and maintaining systems and services for deployment, monitoring, and maintenance of AI models created in research contexts. In addition, it involves developing and maintaining services allowing integration of large language models, foundation models focused on life science data, and narrow models in complex research workflows (for example, through AI agent architectures). The responsibilities include continuously monitoring global AI developments and assessing the relevance to the life science research community.
You will work in an agile team of data engineers, system developers, data stewards, and community managers building systems with the goal to empower researchers in life science to leverage the latest AI technologies. We are looking for individuals who are passionate about technology and eager to contribute to the future of life science research.
We offer a dynamic and inspiring work environment. We also value colleagiality, knowledge sharing between teams and developers, and provide opportunities for continuous learning and development.
Qualifications
Applicants must have relevant education, certificates, or work experience that demonstrate expertise for the role. In addition, the following are required:
– Documented several years of experience in training, evaluating, and deploying machine learning models, including deep neural networks and relevant frameworks
– Documented several years of experience in systems development with Python and version control systems, e.g., Git
– Documented experience with using container and cloud technologies such as Docker, Helm, and Kubernetes
– Documented experience in large-scale data management, high-performance computing systems, GPU acceleration, and parallel file systems
– Ability to communicate fluently in English, both spoken and written
Additional qualifications
– Knowledge of or interest in biomedical research and infrastructure
– Experience working with Scrum or similar agile methodologies
– Experience with AI related frameworks and libraries such as LangChain/Haystack, etc.
– Diligence, initiative, and an interest in supporting Swedish research in artificial intelligence and data-driven life science
Great emphasis will be placed on personal suitability. The applicant must have excellent collaboration skills, initiative, and strong communication abilities, as well as demonstrated active competence progression relevant for this position. As a person, you should be flexible, creative, and service-oriented. You should also be quality-conscious as well as goal- and results-oriented.
About the employment
The employment is a permanent position, probationary period may be applied. Scope of employment 100 %. Starting date as agreed. Placement: Uppsala
For further information about the position, please contact: Ola Spjuth, SciLifeLab AI Lead, ola.spjuth@scilifelab.se, Johan Rung, Head of SciLifeLab Data Centre, johan.rung@scilifelab.se
Please submit your application by 17 April 2026, UFV-PA 2026/866