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

DDLS Fellows Program

The National DDLS Program includes the recruitment of 39 Fellows in total, four of which will be joining KI. Two positions were recently filled, and the calls are now open for two more Fellows. More information about the program

Apply before 15 October 2023

DDLS Fellow in Precision Medicine and Diagnostics (Assistant Professor)

Link to call
Data-driven precision medicine and diagnostics covers data integration, analysis, visualisation, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and monitoring of health.

DDLS Fellow in Epidemiology and Biology of Infection (Assistant Professor)

Link to call
Data-driven Epidemiology and Biology of Infection covers research that will transform our understanding of pathogens, their interactions with hosts and the environment, and how they are transmitted through populations. At KI we encourage applications from candidates interested in developing data-driven methods in infectious disease epidemiology.

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.

More information:


Adina Feldman

Scientific coordinator
Content reviewer: