SciLifeLab & Wallenberg National Program for Data-Driven Life Science
Data-driven life science (DDLS) is a 3.1 billion 12-year project supported by the Knut and Alice Wallenberg (KAW) foundation.
The host for the program is SciLifeLab, which will work together with the Swedish research universities – Karolinska Institutet, Chalmers University of Technology, University of Gothenburg, KTH Royal Institute of Technology, Linköping University, Lund University, Swedish University of Agricultural Sciences, Stockholm University, Umeå University and Uppsala University.
About the program
The purpose of the program is to train the next generation of life scientists, to create a strong computational and data science base, and to strengthen the competencies in today’s research society, thereby enabling every scientist to better analyse data patterns and integrate their data with the global data flows in life sciences. Furthermore, the program aims to strengthen national collaborations between universities, bridge the research communities of life sciences and data sciences, and create partnerships with industry, healthcare and other national and international actors.
The program focuses on four strategic areas for data-driven research, all of which are essential for improving the lives of people as well as animals and nature, detecting and treating diseases, protecting biodiversity and creating sustainability:
- Cell and molecular biology
- Precision medicine and diagnostics
- Evolution and biodiversity
- Epidemiology and biology of infection
Fellows recruitment
Over the years, the program aims to recruit 39 future research leaders as DDLS Fellows and create 210 postdoctoral positions in academia and industry.
The DDLS Fellows will be recruited to the participating organisations – where KI being one of these, enabling them to utilise the strong local research environments. At the same time, they will be connected to the national DDLS program, cultivating a strong, interdisciplinary community of researchers working with the rapidly expanding resources and needs of open data in life sciences.
Each recruitment package has a budget of 17 MSEK to cover salary for 5 years as DDLS Fellow, two PhD positions and two postdoc positions, as well as running costs. The Fellow positions are tenure-track, and KI take long-term responsibility of tenured group leaders.
The DDLS Fellows will be recruited to the four strategic research areas of the program, in two rounds – 2021 and 2024. Read more about the DDLS Fellows recruitment
DDLS Data Science Node in Precision Medicine and Diagnostics
Precision medicine and diagnostics is a fast-developing field where integrated data is used to support processes to select the best possible treatment for each individual patient. KI hosts a Data Science Node in Precision Medicine and Diagnostics as part of the national DDLS program and associated to the SciLifeLab Data Platform. KI are now building a data node to accelerate and spearhead the worldwide development of precision medicine and diagnostics, a process where different expertise work in teams to improve future healthcare.
We are currently looking for bioinformaticians, a data steward, a data engineer and a system developer for a precision medicine and diagnostics data node.
Apply before 2023-01-16:
- Bioinformaticians (2 positions)
- Data steward
- Data engineer
- System developer