Data engineer (AI)

Uppsala University

Application deadline

July 11, 2022

Data engineer (AI)

Uppsala University is a comprehensive research-intensive university with a strong international standing. Our ultimate goal is to conduct education and research of the highest quality and relevance to make a long-term difference in society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has over 54,000 students, more than 7,500 employees and a turnover of around SEK 8 billion.

The Department of Immunology, Genetics and Pathology at Uppsala University has a broad research profile with strong research groups focused on cancer, autoimmune and genetic diseases. A fundamental idea at the department is to stimulate translational research and thereby closer interactions between medical research and health care. Research is presently conducted in the following areas: medical and clinical genetics, clinical immunology, pathology, neuro biology, neuro-oncology, vascular biology, radiation science and molecular tools. Department activities are also integrated with the units for Oncology, Clinical Genetics, Clinical Immunology, Clinical Pathology, and Hospital Physics at Akademiska sjukhuset, Uppsala. The department has teaching assignments in several education programmes, including Master Programmes, at the Faculty of Medicine, and at the Disciplinary Domain of Science and Technology. The department has a yearly turnover of around SEK 500 million, out of which more than half is made up of external funding. The staff amounts to approximately 345 employees, out of which 100 are PhD-students, and there are in total more than 700 affiliated people. Feel free to read more about the department’s activities here:

SciLifeLab ( is a hub for life science research in Sweden and a collaboration between Swedish universities. Everyone at SciLifeLab is employed at one of the partner universities. Since 2013, SciLifeLab is assigned by the Swedish government to operate national infrastructure, to provide cutting-edge life science technologies and -expertise to Swedish researchers, and to be a top international centre for research in health- and environment sciences. SciLifeLab is also hosting a national COVID-19 research program and a new large research programme for Data-Driven Life Sciences, with eleven partner organisations.

The successful candidate will be working with the SciLifeLab Data Centre (DC), a central unit within SciLifeLab with responsibility for IT- and data management issues, serving the SciLifeLab and the Data Driven Life Science (DDLS) research program. We have a national assignment and, for example, operate the Swedish national Covid-19 research data portal. We also work with issues about FAIR data and open science, and in close collaboration with major national and international e-infrastructures. Working at the Data Centre, you will be at the core of Sweden’s top infrastructure for life sciences and have the opportunity to actively shape how state-of-the-art IT and data science are integrated in Swedish life science research, and help to maximize the scientific impact of the large amount of research data generated at SciLifeLab. You will work in a team with researchers, data engineers, data stewards and system developers in a rapidly growing, dynamic and progressive team with a leading role in Swedish data driven life science. Our major task now is to build a national framework for life science data – the DDLS data platform.

Job description
SciLifeLab Data Centre is looking for a motivated and knowledgeable Data engineer for our AI model sharing platform, which will serve both national infrastructure users and researchers through the Data driven life science (DDLS) data platform. You will be working with systems for AI modeling and deployment of models. You will also interact with research groups and assist with technical solutions and infrastructure for AI modeling and sharing of models. Working with and contributing to standards for sharing of AI modeling will also be part of the work, as well as to interact with international collaborators and organisations. You will work in a team of researchers, engineers, data stewards and system developers, in the middle of SciLifeLab’s national research infrastructure and the research program for Data-Driven Life Science, DDLS.

This job requires a university degree in a relevant area. In addition is required:
– Documented experience from AI/ML.
– Documented experience of version control systems, e.g. Git
– Documented experience in Python, web development and API development
– Documented experience from working with Kubernetes and Docker
– Documented experience from working in Linux based environments
– Fluent in English

– Knowledge or interest in biomedical research and infrastructure.
– Ability to work both individually and in cooperation with personnel in widely different fields.
– Experience from AI modeling and deployment of AI models
– Drive and initiative to support and develop data driven life science in Sweden.

Personal suitability will strongly affect the recruitment for this position.

Last updated: 2022-06-27

Content Responsible: David Gotthold(