University of Oslo
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Postdoctoral Research Fellowship in Precision Medicine and Statistical Data Science for Alzheimer’s Disease and Dementia University of Oslo in Norway
Degree Level
Postdoc
Field of study
Data Science
Funding
Full-time, fixed-term three-year postdoctoral fellowship. The salary is NOK 600,000–690,000 per year, depending on competence and experience, with 2% deducted for statutory contributions to the State Pension Fund. The position includes membership in the Norwegian Public Service Pension Fund, welfare schemes, and other public-sector benefits.
Deadline
Nov 24, 2026
Country
Norway
University
University of Oslo
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About this position
The University of Oslo’s Centre for Precision Psychiatry, within the Institute of Clinical Medicine, is seeking a postdoctoral researcher for the Research Council of Norway-funded ResiliDem project. The project investigates resilience and risk factors for Alzheimer’s disease and related dementias by integrating large-scale human genetic data with phenotypic, environmental, lifestyle, and registry-based information.
The researcher will work at the intersection of precision medicine, statistical data science, population-based research, and data-driven neuroscience. The project involves analyzing complex longitudinal datasets to understand disease mechanisms, heterogeneity, resilience, risk factors, and trajectories across the life course. Work will include integration of genetic information with clinical, cognitive, lifestyle, environmental, and registry data, with an emphasis on rigorous statistical analysis and interpretation of real-world population data.
The Centre provides access to extensive research infrastructure, including biomarkers, clinical and cognitive variables, genotyping and sequencing data, and MRI brain imaging from patients with neuropsychiatric and severe mental disorders. The research environment also draws on Norwegian population cohorts such as DemGene, HUNT, and HUSK, as well as international resources including UK Biobank, ABCD, ADNI, and major consortia such as the Psychiatric Genomics Consortium, ENIGMA, and the European Alzheimer’s Disease DNA BioBank.
The postdoctoral fellow will develop and apply statistical methods for population-based and longitudinal studies, prepare and harmonize data from cohorts, biobanks, and health registries, and conduct model development and sensitivity analyses. Computational and machine-learning approaches may be used where appropriate, while the central focus remains advanced statistical analysis, scientific interpretation, and biological and clinical insight.
The fellow will join an interdisciplinary team of statisticians, geneticists, clinicians, and data scientists and conduct research using secure infrastructure, including the University of Oslo’s TSD platform. The fellowship is designed to support scientific independence, peer-reviewed publication, and future research or academic leadership in precision medicine, population health, and data-driven neuroscience.
Funding details
Full-time, fixed-term three-year postdoctoral fellowship. The salary is NOK 600,000–690,000 per year, depending on competence and experience, with 2% deducted for statutory contributions to the State Pension Fund. The position includes membership in the Norwegian Public Service Pension Fund, welfare schemes, and other public-sector benefits.
What's required
Applicants must hold a PhD in statistics, mathematics, informatics, genetics, medicine, psychology, or an equivalent field. Required qualifications include strong programming skills in Python, R, or MATLAB; solid experience in statistical analysis and data processing with relevant software; experience with large-scale human datasets such as genomics, omics, or brain imaging data; experience with image-analysis tools and pipelines such as FreeSurfer or FSL and genetic-data tools such as PLINK; and excellent written and spoken English. Preferred qualifications include research experience in Alzheimer’s disease, dementia, or other neurodegenerative disorders, machine learning experience with large datasets, and computational methods or workflows for large-scale data. Candidates should be highly organized, self-driven, goal-oriented, productive, attentive to detail, and able to collaborate and communicate effectively in multidisciplinary teams.
How to apply
Submit an application letter, CV, transcripts and certificates, and contact information for 2–3 references through the Jobbnorge recruitment system by selecting “Apply for the position.” Retrieve education results through Vitnemålsportalen where available; otherwise upload transcripts or grades in English or a Scandinavian language.
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Prepare your application
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ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.