Jobba Statligt

Associate Senior Lecturer in data-driven precision medicine and diagnostics

  • Ort


  • Yrkesroll

    Universitets- och högskolelektor

  • Anställning

    Heltid, 6 månader eller längre

  • Lön

    Fast månads- vecko- eller timlön

  • Publicerad

    3 juli

  • Sök jobbet senast

    15 oktober

Om jobbet

Associate Senior Lecturer in data-driven precision medicine and diagnostics
Ref PAR 2023/595
The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract scientists and students from around the world. With new knowledge and new perspectives, the University contributes to a better future.
As part of a national program within Data-Driven Life Science (DDLS), Sahlgrenska Academy (the Faculty of Medicine) at the University of Gothenburg is recruiting a DDLS Fellow within data-driven precision medicine and diagnostics for a tenure track position as an Associate Senior Lecturer. The successful candidate will receive a generous recruitment package.
Within the DDLS program, you can develop your full potential as a leading independent scientist in a flourishing academic environment at Sahlgrenska Academy. You will become part of the local scientific environment and network within the Wallenberg Centre for Molecular and Translational Medicine, WCMTM, and nationally with the DDLS program at SciLifeLab (see more information below). The research environments share infrastructure with access to advanced technologies and analysis tools. Sahlgrenska University Hospital, which is the largest university hospital in Sweden and offers excellent opportunities for translational and clinical research, is located next to the faculty. The University of Gothenburg collaborates with AstraZeneca, where precision medicine is a well-established R&D platform, which aims to identify the right treatment for the right patient. Nearby is also The Faculty of Science which in parallel is recruiting a DDLS Fellow in data-driven epidemiology and biology of infection as well as Chalmers University of Technology, which is recruiting two DDLS Fellows, one in precision medicine and diagnostics and one in cell and molecular biology. Chalmers is a partner in Wallenberg AI, Autonomous Systems and Software Program (WASP) and the Wallenberg Centre for Quantum Technology (WACQT). For the successful candidate, this offers excellent opportunities for interdisciplinary collaborations.
Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.1 billion SEK (about 290 MUSD) over 12 years from the Knut and Alice Wallenberg (KAW) Foundation.
The DDLS program will recruit 39 high-profile young group leaders and launch over 210 postdoctoral positions and establish a research school for 260 PhDs, including industry PhDs and postdocs. Fellows will be recruited to the 11 participating host universities/organizations, but brought together under a national DDLS program coordinated by SciLifeLab. The DDLS program has four strategic areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see
During 2022-2023, the first round of 20 young group leaders joined us as DDLS Fellows, and now we are looking to recruit an additional group of 19 fellows. Each DDLS Fellow will receive a recruitment package of 17 MSEK (about 1.6 MUSD) for a 5-year period, covering their own salary and other resources, such as two PhD students and postdoc positions. The Fellow positions are tenure-track with the host organizations assuming responsibility of the long-term faculty appointments following a tenure evaluation.
The future of life science is data-driven. Will you be leading that change with us? Then join us in this unique program!
Subject area
Data-driven precision medicine and diagnostics
Subject area description
Data-driven precision medicine and diagnostics covers data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and monitoring of health. The precision medicine research is expected to make use of existing strong assets in Sweden and abroad, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks.
The subject area concerns research in the general area of precision medicine and diagnostics, with a strong computational profile. This research subject area aims to lead to innovative development and/or application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques.
Data integration and analysis can be used for patient stratification, for discovery of diagnostic biomarkers and for longitudinal monitoring and follow-up. Precision medicine also depends on capabilities for data interpretation, visualization and clinical decision support. The research is expected to use resources such as electronic health care records, molecular data (e.g. imaging and omics), longitudinal patient and population registries, biobanks and digital monitoring data. The ultimate long-term goal of the research should be to develop precision medicine to tailor the right intervention or treatment to the right person at the right time.
See more info on the University of Gothenburgs homepage job opportunities.
Göteborgs universitet | Associate Senior Lecturer in data-driven precision medicine and diagnostics (


Lönetyp: Fast månads- vecko- eller timlön