Data engineer (AI) - Hiring in process/Finished, not possible to apply

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: cancer precision medicine, cancer immunotherapy, genomics and neurobiology, molecular tools and functional genomics, neuro-oncology and neurodegeneration and vascular biology. 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: www.uu.se/en/staff/department/immunology-genetics-and-pathology

SciLifeLab (www.scilifelab.se) 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 pandemic laboratory preparedness program and a large research program for Data-Driven Life Sciences (DDLS), with eleven partner organisations.
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 and the Data Driven Life Science (DDLS) research program.  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. 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. 

Job description:
SciLifeLab Data Centre is looking for a Data engineer for our development group of about 30 people. The initial placement will be to strengthen the Serve platform (https://serve.scilifelab.se/) engineering team of four developers and engineers.  For more information, please see the open source GitHub repository at https://github.com/ScilifelabDataCentre/stackn. You will help to design and develop the platform software in accordance with user requirements and in close collaboration with users, researchers and other system developers. Additional tasks include participating in outreach, seminars and webinars such as our webinar series Tools for AI/ML research (https://www.scilifelab.se/data/tools-event-series/). We provide a dynamic and inspiring work environment. We also value knowledge sharing between teams and developers and provide for continual training.

Qualifications:
This job requires a university degree in a relevant subject area. In addition is required:
- Documented experience in AI/ML including deep neural networks and frameworks such as TensorFlow, PyTorch etc
- Documented experience in Python developing web services
- Documented experience using container and cloud technologies such as Docker, Helm and Kubernetes
- Documented experience of version control systems, e.g. Git
- Fluent English

Meriting:
- Knowledge or interest in biomedical research and infrastructure
- Experience developing applications in the Python Django framework or similar frameworks
- Experience working with Scrum or similar approaches 
- Ability to work both individually and in collaboration with colleagues in different fields
- Diligence, initiative and an interest in supporting Swedish research in Artificial Intelligence and data-driven life sciences
Personal suitability will strongly affect the recruitment for this position.

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, Head of AI, ola.spjuth@uu.se, Johan Rung, Head of SciLifeLab Data Centre, johan.rung@scilifelab.uu.se

Please submit your application by 18 June 2024, UFV-PA 2024/1886

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.